Τεύχος 57, Οκτώβριος-Δεκέμβριος 2020 | Issue 57, October-December 2020

ΒΙΒΛΙΟΓ ΡΑΦΙΑBibliography

Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομίαArtificial intelligence (AI) and the economy

Τα τεύχη δημοσιεύονται στον ιστοχώρο της Τράπεζας: https://www.bankofgreece.gr/trapeza/kepoet/h-vivliothhkh-ths-tte/e-ekdoseis-kai-anakoinwseis

Τράπεζα της Ελλάδος. Κέντρο Πολιτισμού, Έρευνας και Τεκμηρίωσης. Τμήμα Βιβλιοθήκης Ελ. Βενιζέλου 21, 10250 Αθήνα library@bankofgreece.gr, τηλ. 210-3202446, 3202396, 3203129

Βιβλιογραφία, τεύχος 57, Οκτώβριος-Δεκέμβριος 2020, Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Συντάκτες: Α. Ναδάλη, Ε. Σεμερτζάκη, Γ. Τσούρη

All issues are published online at the Bank’s website: https://www.bankofgreece.gr/en/the-bank/culture/library/e-publications-and-announcements

Bank of Greece. Centre for Culture, Research and Documentation. Library Section 21 El. Venizelos Ave., 10250 Athens, Greece, library@bankofgreece.gr., tel. +30-210-3202446, 3202396, 3203129

Bibliography, no.57, October-December 2020, Artificial intelligence (AI) and the economy Editors: A. Nadali, E. Semertzaki, G. Tsouri

1 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

Table of Contents

Εισαγωγή = Introduction 3

1. Έντυπη συλλογή = Print collection 4

1.1 Μονογραφίες = Monographs ................................................................................ 4

1.2 Άρθρα από έντυπα περιοδικά = Articles from printed journals ........................... 9

2. Ηλεκτρονική συλλογή / Electronic collection 11

2.1 Άρθρα πλήρους κειμένου / Full text articles ....................................................... 11

2.2 Άρθρα πλήρους κειμένου με στοιχεία πρόσβασης = .......................................... 18

Full text articles with user credentials ............................................................................ 18

2.3 Δοκίμια εργασίας πλήρους κειμένου = Full-text working papers ....................... 19

2.4 Ηλεκτρονικά βιβλία = Electronic books ............................................................... 21

3. Συνδρομητικές βάσεις δεδομένων = Subscribed databases 24

Organisation for Economic Cooperation and Development (OECD) .............................. 24

American Economic Association ..................................................................................... 25

4. Πηγές από το διαδίκτυο = Websites 27

4.1 Ελληνικές πηγές = Greek resources ..................................................................... 27

Τράπεζα της Ελλάδος = Bank of Greece 27

Γνωσιακή Βάση: Ι. Δημοσιεύσεις = Knowledge Base: I. Publications ............................. 27

4.2 Διεθνείς πηγές = International resources ............................................................ 27

European Central Bank ................................................................................................... 27

European Union .............................................................................................................. 28

World Bank...................................................................................................................... 29

International Monetary Fund ......................................................................................... 30

The Global Partnership on Artificial intelligence (GPAI) ................................................. 31

5. Κατάλογος θεμάτων που δημοσιεύθηκαν σε προηγούμενα τεύχη της Βιβλιογραφίας / List of topics published in previous issues of the Bibliography 32

2 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

Εισαγωγή = Introduction

Κάθε τεύχος της τριμηνιαίας ηλεκτρονικής έκδοσης της Βιβλιοθήκης Βιβλιογραφία αναφέρεται σε θέμα που σχετίζεται με την οικονομική, χρηματοοικονομική και τραπεζική επικαιρότητα. Οι πηγές που παρατίθενται στην έκδοση αυτή βασίζονται στην έντυπη και την ηλεκτρονική συλλογή της Βιβλιοθήκης, επιδιώκοντας την δημιουργία θεματικών εργαλείων που θα βοηθήσουν τον ερευνητή και τον ενδιαφερόμενο για το θέμα που πραγματεύεται κάθε τεύχος. Το 57ο τεύχος της Βιβλιογραφίας (Οκτ.-Δεκ. 2020) αφορά το θέμα Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία. Τι ορίζεται ως Τεχνητή νοημοσύνη1; Ο πρωτοπόρος στα θέματα τεχνητής νοημοσύνης, Marvin Minsky, την όρισε ως «η επιστήμη που επιτρέπει στις μηχανές να εκτελούν εργασίες οι οποίες απαιτούν ανθρώπινη σκέψη». Επομένως ο όρος χρησιμοποιείται όταν οι μηχανές αναπαράγουν τις γνωστικές λειτουργίες ενός ανθρώπου, όπως είναι η μάθηση, η κατανόηση, ο συλλογισμός και η αλληλεπίδραση. Παραδείγματα τεχνητής νοημοσύνης είναι μηχανές που αντιλαμβάνονται τον ανθρώπινο λόγο, ανταγωνίζονται σε παιχνίδια στρατηγικής, οδηγούν αυτοκίνητα ή ερμηνεύουν πολύπλοκες πληροφορίες.

Αθήνα, Δεκέμβριος 2020

Each issue of the Library’s quarterly online publication Bibliography refers to an economic, financial, and banking topic of current interest. The resources listed in this publication are based on the Library’s print and electronic collection. The purpose of the publication is to create ready-reference subject research tools which will be utilized by the researcher and everyone interested in the topic of each issue. The 57th issue of Bibliography (Oct.-Dec. 2020) is on Artificial intelligence (AI) and the economy. What is AI?2 AI pioneer Marvin Minsky defined AI as "the science of making machines do things that would require intelligence if done by men". The term AI is therefore used when machines perform human-like cognitive functions such as learning, understanding, reasoning and interacting. For example, machines understanding human speech, competing in strategic game systems, driving cars autonomously or interpreting complex data are currently considered to be AI applications.

Athens, December 2020

1 Μετάφραση του ορισμού από: https://www.oecd.org/digital/ieconomy/technology-foresight-forum-2016.htm 2 Definition from: https://www.oecd.org/digital/ieconomy/technology-foresight-forum-2016.htm

3 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

1. Έντυπη συλλογή = Print collection 1.1 Μονογραφίες = Monographs

Οι βιβλιογραφικές αναφορές κατατάσσονται σε αντίστροφη χρονολογική σειρά. Είναι το αποτέλεσμα της αναζήτησης στον ηλεκτρονικό κατάλογο της Βιβλιοθήκης με τον όρο Artificial Intelligence στο πεδίο «Θέμα» και στο Summon στο πεδίο «Λέξη κλειδί». Στο Summon η αναζήτηση περιορίστηκε στον επιστημονικό κλάδο economics δεν τέθηκε όμως χρονικός περιορισμός. Τα αποτελέσματα οδήγησαν και σε έντυπο υλικό όπου οι όροι δεν εμφανίζονται στον τίτλο ή στους θεματικούς όρους, περιέχονται όμως σε σχετικά κεφάλαια.

The bibliographic references are arranged in reverse chronological order. The search was conducted in the Library’s WebPAC and Summon under the keyword Artificial Intelligence as a phrase in “Subject” and “Keyword’ fields respectively. In Summon the search was further limited under the discipline economics with no time limit. The search also resulted in resources where the phrase does not exist either in the title or in the subject but appears in relevant chapters.

2020 Anderson, J.L and Coveyduc, J.L. 2020. Artificial intelligence for business: a roadmap for getting started with AI. Hoboken, NJ: Wiley. Main Library 006.306 8 /AN229-A Iansiti, M. and Lakhani, K.R. 2020. Competing in the age of AI: strategy and leadership when algorithms and networks run the world. Boston, MA: Harvard Business Review Press. Main Library 658.056 3 /IA6-C Liebowitz, J. 2020. Data analytics and AI. Boca Raton, FL: CRC Press. Main Library 001.422 028 563 /D2622 Ζαρκαδάκης, Γ. 2020. Cyber republic: reinventing democracy in the age of intelligence machines. Cambridge, Mass.: The MIT Press. Main Library 303.218 3 /Z37-C Ρουμελιώτης, Π.Β. 2020. Ρήξη: ο πόλεμος της τεχνητής νοημοσύνης. Αθήνα: Λιβάνης. Main Library 330.028 563 /R7601-R

4 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

2019 Aurélien, G. 2019. Hands-on machine learning with Scikit-Learn, Keras and TensorFlow: concepts, tools, and techniques to build intelligent systems, 2nd ed. Sebastopol, CA: O'Reilly Media. Main Library 006.31 /G377-H/ED.2 Choi, J.J. and Ozkan, B. (eds.) 2019. Disruptive innovation in business and finance in the digital world. Bingley, UK: Emerald Publishing. Main Library 332 /D6327 Frey, C.B. 2019. The technology trap: capital, labor, and power in the age of automation. Princeton, New Jersey: Princeton University Press. Main Library 338.064 /F893-T Lynn, T. … [et al.] (eds), 2019. Disrupting finance: FinTech and strategy in the 21st century. Cham, Switzerland: Springer Nature. Main Library 658.514 /D6327 Shiller, R.J. 2019. Narrative economics: how stories go viral and drive major economic events. Princeton, NJ: Princeton University Press. Main Library 330 /SH556-N

2018 Hill, J. 2018, Fintech and the remaking of financial institutions. London: Academic Press. Main Library 332.102 85 /H54-F Ormerod, P. 2018. Against the grain: insights from an economic contrarian. London: IEA. Main Library 330 /OR73-A

2017 Lo, A.W. 2017, Adaptive markets: financial evolution at the speed of thought. Princeton, New Jersey: Princeton University Press. Main Library 332.64 /L795-A

2015 Ford, M. 2015, The rise of the robots: technology and the threat of mass unemployment. New York: Basic Books, a member of the Perseus Books Group. Main Library 331.137 042 /F699-R

2014 Dunis, C. … [et al.] 2014, Computational intelligence techniques for trading and investment. New York; London: Routledge.

5 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

Main Library 332.602 856 3 /C7392

2013 Ζουπουνίδης, Κ. και Δούμπος, Μ. (eds) 2013, Computational techniques for banking and risk management. New York: Nova Science Publishers. Main Library 332.106 81 /C7392

2012 Mello, L.R.d., Dutz, M.A. 2012, Promoting inclusive growth: challenges and policies. Paris: OECD. Main Library 338.9 /OR356-PI

2009 Lo, A.W., Hasanhodzic, J. 2009, The heretics of finance: conversations with leading practitioners of technical analysis. New York: Bloomberg Press. Main Library 332.632 042 /L7801-H

2005 Hanselman, D.C. and Littlefield, B. 2005, Mastering MATLAB 7. London: Pearson Prentice Hall. Main Library 518.028 553 /H1982-M

2003 Chen, S. and Wang, P. 2003, Computational intelligence in economics and finance. Berlin: Springer Verlag. Main Library 330.028 563 /C7392

2002 Abbass, H.A., Sarker, R.A. and Newton, C.S. 2002, Data mining: a heuristic approach. Hershey, PA: Idea Group. Main Library 006.312 /D2622 Kasper, S.D. 2002, The revival of laissez-faire in American macroeconomic theory: a case study of the pioneers. Cheltenham, UK; Northampton, MA: Edward Elgar. Main Library 339.1 /K1928-R

2000 Dale, R., Moisl, H. and Somers, H.L. 2000, Handbook of natural language processing. New York: Marcel Dekker. Main Library 006.35 /H236 Jurafsky, D.S. and Martin, J.H. 2000, Speech and language processing: an introduction to natural language processing, computational linguistics and speech recognition. New Jersey: Prentice Hall.

6 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

Main Library 621.399 /J974-S Kovalerchuk, B., Vityaev, E. 2000, Data mining in finance: advances in relational and hybrid methods. Boston: Kluwer Academic Publishers. Main Library 332.102 856 3 /K8494-D

1998 Davis, J.B., Hands, D.W. and Maki, U. 1998, The handbook of economic methodology. Cheltenham, UK; Northampton, MA: E. Elgar. Main Library 330.01 /H9134 Grefenstette, G. 1998, Cross-language information retrieval. Boston, MA: Kluwer Academic Publishers. Main Library 025.04 /C8841

1997 Cade, E. 1997, Managing banking risks. Cambridge, UK: Gresham Books, in association with the Chartered Institute of Bankers. Main Library 332.106 81 /C122-M Hand, D.J. 1997, Construction and assessment of classification rules. New York; Chichester: Wiley. Main Library 519.535 /H19126-C

1996 Kuper, A. and Kuper, J. 1996, The social science encyclopedia, 2nd ed. London; New York: Routledge. Main Library Reference 300.3 /SO678 /ED.2 Trippi, R.R. and Turban, E. 1996, Neural networks in finance and investing: using artificial intelligence to improve real-world performance, Rev. ed. Chicago: Irwin Professional Pub. Basement - Information Systems 332.028 563 /N3981

1995 Janssen, J., Σκιαδάς, Χ. and Ζουπουνίδης, Κ. 1995, Advances in stochastic modelling and data analysis. Dordrecht; Boston: Kluwer Academic Publishers. Main Library 330.015 118 /AD245

1994 Χωραφάς, Δ.Ν. 1994, Chaos theory in the financial markets: applying fractals, fuzzy logic, genetic algorithms, swarm simulation and the Monte Carlo method to manage market chaos and volatility. Chicago, Ill.: IRWIN. Main Library 332 /CH551-C

7 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

1992

Χωραφάς, Δ.Ν. 1992, The new technology of financial management. New York: Wiley. Main Library 658.115 /C551-N

1989 Holland, J.H. … [et al.] 1989, Induction: processes of inference, learning, and discovery, Cambridge, MA: MIT Press. Main Library 161 /IN42-P Martin, J. 1989, Information engineering. Englewood Cliffs, N.J.: Prentice Hall. Main Library 004 /M379-I

1988 Adriaens, G… [et al.] 1988, Lexical ambiguity resolution: perspectives from psycholinguistics, neuropsychology, and artificial intelligence San Mateo, Calif.: Morgan Kaufmann Publishers. Main Library 401.41 /L6791 Bahrami, A. 1988, Designing artificial intelligence based software. Wilmslow: Sigma Press ; New York: Halsted Press. Basement - Information Systems 006.3 /B151-D Kitsuregawa, M. and Tanaka, H. 1988, Database machines and knowledge base machines. Boston: Kluwer Academic Publishers. Main Library 004 /D232

1985 Harmon, P. and King, D. c1985, Expert systems: artificial intelligence in business. New York: J. Wiley. Main Library 006.3 /H288-E

1981 Simon, H.A. 1981, The sciences of the artificial, 2nd, rev. and enl. ed. Cambridge, Mass.: MIT Press. Main Library 501 /SI593-S

8 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

1.2 Άρθρα από έντυπα περιοδικά = Articles from printed journals Τα άρθρα της ενότητας αυτής προέρχονται από έντυπα περιοδικά της Βιβλιοθήκης και δεν είναι διαθέσιμα σε ηλεκτρονική μορφή. Το ταξιθετικό σύμβολο αντιστοιχεί στον τίτλο του περιοδικού και όχι στο συγκεκριμένο άρθρο.

The articles in this section come from the Library’s print collection and are not available in online format. The shelfmark corresponds to the journal title and not to the article itself.

2020 O'Donovan, N. 2020, "From knowledge economy to automation anxiety: a growth regime in crisis?", New Political Economy, vol. 25, no. 2, pp. 248-266. Main Library 330.05 /N42011

D'Hondt, C. [et al.] 2020, "Artificial intelligence alter egos: who might benefit from robo-investing?", Journal of Empirical Finance, vol. 59, pp. 278-299. Main Library 332.05 /J95 Eichberger, J. and Guerdjikova, A. 2020, "Case-based decision theory: from the choice of actions to reasoning about theories", Revue Economique, vol. 71, no. 2, pp. 283-306. Main Library 054 /R454-E Igami, M. 2020, "Artificial intelligence as structural estimation: Deep Blue, Bonanza, and AlphaGo", Econometrics Journal, vol. 23, no. 3, pp. S1-S24. Main Library 330.015 195 /EC741

2019 Aghion, P., Antonin, C. and Bunel, S. 2019, "Artificial intelligence, growth and employment: the role of policy", Economie et Statistique/Economics and Statistics, , no. 512, pp. 149-164. Main Library 054 /EC19-S Beach, W.W. 2019, "Productivity in the global value chain world", Atlantic Economic Journal, vol. 47, no. 4, pp. 381-388. Main Library 330.05 /AT881 Brynjolfsson, E., Hui, X. and Liu, M. 2019, "Does machine translation affect international trade? evidence from a large digital platform", Management Science, vol. 65, no. 12, pp. 5449-5460. Main Library 051 /M266

9 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

Coyle, D. and Nguyen, D. 2019, "Cloud computing, cross-border data flows and new challenges for measurement in economics", National Institute Economic Review, no. 249, pp. R30-38. Main Library 052 /N277 Greenwood, D.T. 2019, "The three faces of labor: sustainability and the next wave of automation", Journal of Economic Issues, vol. 53, no. 2, pp. 378-384. Main Library 332.05 /J8261

2018 Berg, A., Buffie, E.F. and Zanna, L. 2018, "Should we fear the robot revolution? The correct answer is yes", Journal of Monetary Economics, vol. 97, pp. 117-148. Main Library 059.2 /J86-M Levy, F. 2018, "Computers and populism: artificial intelligence, jobs, and politics in the near term", Oxford Review of Economic Policy, vol. 34, no. 3, pp. 393-417. Main Library 338.905 /OX98

2017 Arntz, M., Gregory, T. and Zierahn, U. 2017, "Revisiting the risk of automation", Economics Letters, vol. 159, pp. 157-160. Main Library 330.05 /EC19 Markey-Towler, B. 2017, "I, Roboticus Oeconomicus: the philosophy of mind in economics, and why it matters", Cambridge Journal of Economics, vol. 41, no. 1, pp. 203-237. Main Library 052 /C178 Morikawa, M. 2017, "Firms' expectations about the impact of AI and robotics: evidence from a survey", Economic inquiry, vol. 55, no. 2, pp. 1054-1063. Main Library 051 /EC19-I

10 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

2. Ηλεκτρονική συλλογή / Electronic collection 2.1 Άρθρα πλήρους κειμένου / Full text articles

Τα άρθρα ανακτήθηκαν από το Summon, το εργαλείο ενιαίας αναζήτησης της Βιβλιοθήκης και είναι προσβάσιμα σε πλήρη μορφή με αναγνώριση IP διεύθυνσης της Τράπεζας. Τα κριτήρια που χρησιμοποιήθηκαν για την αναζήτηση των άρθρων ήταν:

• οι όροι AI or Artificial intelligence στον τίτλο and economy σε όλα τα πεδία

• ημερομηνία δημοσίευσης από το 2015 έως σήμερα

• άρθρα πλήρους κειμένου

The articles were retrieved from Summon, the web-scale discovery tool of the Library and they are available in full text through the Bank’s IP address authentication. Search criteria to retrieve the articles were:

• the terms AI or Artificial

intelligence in the title and economy in all fields

• year of publication from 2015 onwards

• full text articles 2020

Arlotto, P. 2020, "Artificial intelligence: realities for financial leaders: the first step in a healthcare organization's artificial intelligence strategy should be education", Healthcare Financial Management, vol. 74, no. 2, pp. 32. Bertha, M. 2020, "5 steps to AI transformation and survival", CIO, [Online]. Bharati, S. 2020, "How artificial intelligence impacts businesses in the period of pandemics?", Journal of the International Academy for Case Studies, vol. 26, no. 5, pp. 1-2. Carmon, Z. … [et al.] 2020, "Designing AI systems that customers won't hate", MIT Sloan Management Review, vol. 61, no. 2, pp. 1-6. Carter, D. 2020, "Regulation and ethics in artificial intelligence and machine learning technologies: Where are we now? Who is responsible? Can the information professional play a role?", Business Information Review, vol. 37, no. 2, pp. 60-68. Corey, M. and Sullivan, D. 2020, "Are AI and machine learning the key to understanding the U.S. economy?", Big Data Quarterly, [Online], vol. 6, no. 1, pp. 29-30. Ehiorobo, O.A. 2020, "Strategic agility and AI-enabled resource capabilities for business survival in post-Covid-19 global economy", International Journal of Information, Business and Management, vol. 12, no. 4, pp. 201-213.

11 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

Fluss, D. 2020, "AI will change the service game, eventually", Customer Relationship Management (Malibu, Calif.), [Online], vol. 24, no. 4, pp. 32-33.

Goyal, A. and Aneja, R. 2020, "Artificial intelligence and income inequality: do technological changes and worker's position matter?", Journal of Public Affairs, vol. 20, no. 4, pp. n/a. Grguric, A., Vlacic, E. and Drvenkar, N. 2020, "Assessing firms' competitiveness and technological advancement by applying artificial intelligence as a differentiation strategy: a proposed conceptual model", Economic and Social Development: Book of Proceedings, , pp. 43-61. Kirillova, E.A. … [et al.] 2020, "Artificial intelligence as a new category of civil law", Journal of Advanced Research in Law and Economics, vol. 11, no. 1(47), pp. 91-98. Melnychenko, O. 2020, "Is artificial intelligence ready to assess an enterprise’s financial security?", Journal of Risk and Financial Management, vol. 13, no. 9, pp. 191. Mhlanga, D. 2020, "Industry 4.0 in finance: the impact of artificial intelligence (AI) on digital financial inclusion", International Journal of Financial Studies, vol. 8, no. 3, pp. 45. Mistri, D., 2020, “Digital Banking Platforms – The New Core” [online] FinTech Futures. [Accessed 5 January 2021]. Moreno-Guerrero, A. … [et al.] 2020, "Scientific development of educational artificial intelligence in Web of Science", Future Internet, vol. 12, no. 8, pp. 124. Mrowinski, B., Brougham, D. and Tappin, D.C. 2020, "Managers’ perceptions of artificial intelligence and automation: insights into the future of work", New Zealand Journal of Employment Relations, vol. 44, no. 3, pp. 76-91. Paul, A.K. and Schaefer, M. 2020, "Safeguards for the use of artificial intelligence and machine learning in global health", Bulletin of the World Health Organization, vol. 98, no. 4, pp. 282-284. Truby, J. 2020, "Governing artificial intelligence to benefit the UN Sustainable Development Goals", Sustainable Development (Bradford, West Yorkshire, England), vol. 28, no. 4, pp. 946-959. Verganti, R., Vendraminelli, L. and Iansiti, M. 2020, "Innovation and design in the age of artificial intelligence", The Journal of Product Innovation Management, vol. 37, no. 3, pp. 212-227.

12 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

Yosef, A. & Shnaider, E. 2020, "Modeling Technique Based on the Ranges of Values: Implementation Using Conventional Regression Method", Computational Economics, vol. 55, no. 1, pp. 211-230.

2019 Belanche, D., Casaló, L.V. and Flavián, C. 2019, "Artificial intelligence in FinTech: understanding robo-advisors adoption among customers", Industrial Management + Data Systems, vol. 119, no. 7, pp. 1411-1430.

Brydon, A. 2019, "You don't need a PhD to join the AI economy", Industry Week, [Online].

Caron, M.S. 2019, "The transformative effect of AI on the banking industry", Banking and Finance Law Review, vol. 34, no. 2, pp. 169-214.

Chernov, A. and Chernova, V. 2019, "Artificial intelligence in management: challenges and opportunities", Economic and Social Development: Book of Proceedings, pp. 133-140.

Deggans, J. … [et al.] 2019, "Cognitively enhanced products, output growth, and labor market changes: will artificial intelligence replace workers by automating their jobs?", Economics, Management and Financial Markets, vol. 14, no. 1, pp. 38-43.

Gill, A.S. 2019, "Artificial intelligence and international security: the long view", Ethics and International Affairs, vol. 33, no. 2, pp. 169-179.

Golić, Z. 2019, "Finance and artificial intelligence: the fifth industrial revolution and its impact on the financial sector", Zbornik Radova Ekonomskog Fakulteta u Istočnom Sarajevu, , no. 19, pp. 67-81.

Hildebrand, C. 2019, "The machine age of marketing: how artificial intelligence changes the way people think, act, and decide", NIM Marketing Intelligence Review, vol. 11, no. 2, pp. 11-10.

Hoffman, K.E. 2019, "Artificial intelligence gets real", Independent Banker, [Online], vol. 69, no. 11, pp. 46-54. Ince, H., Cebeci, A.F. & Imamoglu, S.Z. 2019, “An Artificial Neural Network-Based Approach to the Monetary Model of Exchange Rate”, Computational Economics, vol. 53, pp.817–831 (2019).

"The importance of artificial intelligence in improving productivity", 2019, Management Services, [Online], vol. 63, no. 2, pp. 9-9.

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Jakšič, M. and Marinč, M. 2019, "Relationship banking and information technology: the role of artificial intelligence and FinTech", Risk Management (Leicestershire, England), vol. 21, no. 1, pp. 1-18.

Kiron, D. and Schrage, M. 2019, "Strategy for and with AI", MIT Sloan Management Review, vol. 60, no. 4, pp. 30-35.

Moldenhauer, L. and Londt, C. 2019, "Leadership, artificial intelligence and the need to redefine future skills development", Journal of Leadership, Accountability and Ethics, vol. 16, no. 1, pp. 54-60.

Novak, I. 2019, "Bibliometric analysis of artificial intelligence in business economics", Poslovna Izvrsnost, vol. 13, no. 2, pp. 131-154.

Pacheco-Jorge, L. 2019, "Business ethics in the age of artificial intelligence and big data", Westchester County Business Journal, [Online], vol. 55, no. 2, pp. 13-13.

Paschen, J., Kietzmann, J. and Kietzmann, T.C. 2019, "Artificial intelligence (AI) and its implications for market knowledge in B2B marketing", The Journal of Business and Industrial Marketing, vol. 34, no. 7, pp. 1410-1419.

Pasquale, F. 2019, "Data-informed duties in AI development", Columbia Law Review, vol. 119, no. 7, pp. 1917-1940.

Sanders, N.R. … [et al.] 2019, "Sustainable supply chains in the age of AI and digitization: research challenges and opportunities", Journal of Business Logistics, vol. 40, no. 3, pp. 229-240.

Sankaran, K. 2019, "Carbon emission and plastic pollution: how circular economy, blockchain, and artificial intelligence support energy transition?", Journal of Innovation Management, vol. 7, no. 4, pp. 7-13.

Sgantzos, K. and Grigg, I. 2019, "Artificial intelligence implementations on the blockchain: use cases and future applications", Future Internet, vol. 11, no. 8, pp. 170.

Szalavetz, A. 2019, "Artificial intelligence-based development strategy in dependent market economies: any room amidst big power rivalry?", Central European Business Review, vol. 8, no. 4, pp. 40-54.

Weber, F.D. and Schütte, R. 2019, "State-of-the-art and adoption of artificial intelligence in retailing", Info (Cambridge, England), vol. 21, no. 3, pp. 264-279.

Yeoh, P. 2019, "Artificial intelligence: accelerator or panacea for financial crime?", Journal of Financial Crime, vol. 26, no. 2, pp. 634-646.

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2018 "Artificial intelligence will transform productivity", 2018, Management Services, [Online], vol. 62, no. 1, pp. 9-9.

Bolton, C. [et al.] 2018, "The power of human–machine collaboration: artificial intelligence, business automation, and the smart economy", Economics, Management and Financial Markets, vol. 13, no. 4, pp. 51.

Brougham, D. and Haar, J. 2018, "Smart technology, artificial intelligence, robotics, and algorithms (STARA): employees’ perceptions of our future workplace", Journal of Management and Organization, vol. 24, no. 2, pp. 239-257.

Bruun, E.P.G. and Duka, A. 2018, "Artificial intelligence, jobs and the future of work: racing with the machines", Basic Income Studies, vol. 13, no. 2, pp. 1-15. Bughin, J. 2018, "Why AI isn't the death of jobs", MIT Sloan Management Review, vol. 59, no. 4, pp. 42-46. Byrum, J. 2018, "Taking advantage of the AI revolution", LSE; Industrial and Systems Engineering at Work, [Online], vol. 50, no. 6, pp. 28-32. Carter, D. 2018, "How real is the impact of artificial intelligence? The business information survey 2018", Business Information Review, vol. 35, no. 3, pp. 99-115. Chopra, K.N. 2018, "Overview and application of artificial intelligence concepts and some important coevolving modern issues on management of organization and Commerce", Journal of Internet Banking and Commerce: JIBC, vol. 23, no. 3, pp. 1-22. Chui, M., Manyika, J. and Schwartz, D. 2018, "The real-world potential and limitations of artificial intelligence", The McKinsey Quarterly, [Online]. Dobrescu, E.M. and Dobrescu, E.M. 2018, "Artificial intelligence (AI): the technology that shapes the world", Global Economic Observer, vol. 6, no. 2, pp. 71-81. Grove, H., Holder, A.D. and Clouse, M. 2018, "Emergence of artificial intelligence, cryptocurrencies, and quantum computing", Internal Auditing, [Online], vol. 33, no. 2, pp. 11-19. Hamori, S. and Kume, T. 2018, "Artificial intelligence and economic growth", Journal of Applied Mathematics and Decision Sciences, vol. 22, pp. 1-22. Ikram, Nur Adlin Hanisah binti Shahul & Kepli, M.Y.b.Z. 2018, "Establishing legal rights and liabilities for artificial intelligence", IIUM Law Journal, vol. 26, no. 1, pp. 161.

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Kelley, K.H. [et al.] 2018, "Artificial intelligence: implications for social inflation and insurance", Risk Management and Insurance Review, vol. 21, no. 3, pp. 373-387. Luzac, E. 2018, "Document analysis streamlined by structure, tagging, and artificial intelligence", The Journal of Structured Finance, vol. 23, no. 4, pp. 42-46. Menon, R.M. 2018, "How AI can drive socio-economic transformation: artificial intelligence could add at least a trillion dollars to our economy by 2035", Business Today (New Delhi, India), [Online].

Meskovic, E. [et al.] 2018, "Artificial intelligence: trends in business and implications for the accounting profession", Internal Auditing, [Online], vol. 33, no. 3, pp. 5-11.

Moreno-Izquierdo, L. [et al.] 2018, "Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian Community", Investigaciones Regionales, no. 42, pp. 113-128.

Nica, E., Manole, C. and Stan, C.I. 2018, "A laborless society? how highly automated environments and breakthroughs in artificial intelligence bring about innovative kinds of skills and employment disruptions, altering the nature of business process and affecting the path of economic growth", Journal of Self-Governance and Management Economics, vol. 6, no. 4, pp. 25-30.

Sion, G. 2018, "How artificial intelligence is transforming the economy. will cognitively enhanced machines decrease and eliminate tasks from human workers through automation?", Journal of Self-Governance and Management Economics, vol. 6, no. 4, pp. 31-36.

Schulte, P. and Liu, G. 2018, "FinTech is merging with IoT and AI to challenge banks: how entrenched interests can prepare", The Journal of Alternative Investments, vol. 20, no. 3, pp. 41-57.

Vochozka, M. [et al.] 2018, "Participating in a highly automated society: how artificial intelligence disrupts the job market", Economics, Management and Financial Markets, vol. 13, no. 4, pp. 57.

2017 Bourque, A. 2017, "How artificial intelligence is impacting the highest levels of finance", CIO, [Online]. Firth-Butterfield, K. 2017, "Artificial intelligence and the law: more questions than answers?“, American Bar Association, Chicago. Gownder, J.P. 2017, "Automation technologies, robotics and artificial intelligence in the workforce", CIO, [Online].

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Keiser, B.E. 2017, "Artificial intelligence and the law", Online Searcher (Medford, N.J.), [Online], vol. 41, no. 3, pp. 16. King, B.A., Hammond, T. and Harrington, J. 2017, "Disruptive technology: economic consequences of artificial intelligence and the robotics revolution", Journal of Strategic Innovation and Sustainability, vol. 12, no. 2, pp. 53-67. Kwang, T.W. 2017, "Sizing up the impact of artificial intelligence", eGov Innovation, [Online]. Marchant, G.E. 2017, "Artificial intelligence and the future of legal practice", American Bar Association, Chicago. Moore, H. 2017, "Is artificial intelligence the future of capital markets?“, American Banker Magazine, [Online], vol. 127, no. 7, pp. 21. Rotman, D. 2017, "The Relentless Pace of Automation", ΜΙΤ Technology Review , vol. 120, no. 2, pp. 92. Subramanian, R. 2017, "Emergent AI, social robots and the law: security, privacy and policy issues", Journal of International Technology and Information Management, vol. 26, no. 3, pp. 81-105. Wilson, H.J., Daugherty, P.R. and Morini-Bianzino, N. 2017, "The jobs that artificial intelligence will create", MIT Sloan Management Review, vol. 58, no. 4, pp. 14.

2016 Etzioni, A. and Etzioni, O. 2016, "AI assisted ethics", Ethics and Information Technology, vol. 18, no. 2, pp. 149-156. Maney, K. 2016, "How artificial intelligence and robots will radically transform the Economy", Newsweek, [Online], vol. 167, no. 21. Available from: Global. Rotman, D. 2016, "Dear Silicon Valley: forget flying cars, give us economic growth", MIT Technology Review, vol. 119, no. 4, pp. 64. Smith, R.E. 2016, "Idealizations of uncertainty, and Lessons from artificial intelligence", Economics. The Open-Access, Open-Assessment e-Journal, vol. 10, no. 7, pp. 1-40. Wammes, F. 2016, "AI, robotics and the future of work", CIO, [Online].

2015

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Russell, S., Dewey, D. and Tegmark, M. 2015, "Research priorities for robust and beneficial artificial intelligence", The AI magazine, vol. 36, no. 4, pp. 105.

2.2 Άρθρα πλήρους κειμένου με στοιχεία πρόσβασης = Full text articles with user credentials

2020

Carpenter, T. 2020, Revolutionising the consumer banking experience with artificial intelligence, Journal of digital banking, vol.4, no.4, pp.291-300. Durodie, C. 30/03/2020, AI, Fintech and pandemics: the new normal, The Banker [Online] Hardoon, D. 12/05/2020, The impact of AI adoption on supervisors, Central Banking [Online] McKenzie, H. 02/07/2020, Accelerating the automation trend in a post-Covid world, The Banker [Online] Robinson, D. 28/10/2020, Banking leaders share digital transformation fears, The Banker [Online] Schmidt, R. and Tissot, B. 12/08/2020, Computing platforms for big data and AI, Central Banking [Online] Townson, S. 06/11/2020, AI can make bank loans more fair, Harvard Business Review [Online].

2019 Pozen, R.C. and Ruane, J. 2019, What machine learning will mean for asset managers, Harvard Business Review [Online]. Turner, P. and Zhang, E. 09/10/2020, Big tech: a threat to banks?, Central Banking [Online] Van Thiel, F. and Van Raaij, W.F. 2019, Artificial intelligence credit risk prediction: an empirical study of analytical artificial intelligence tools for credit risk prediction in a digital era, Journal of risk management in financial institutions, Journal of Risk Management in Financial Institutions, vol.12, no.3, pp.268-286.

2018 Davenport, T.H. 2018, From analytics to artificial intelligence, Journal of Business Analytics, vol.1, no.2, pp.73-80.

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Huerta, J.M. and Anand, A. 2018, Machine learning and artificial intelligence in consumer banking, Journal of Digital Banking, vol.3, no1, pp.22-32. Soviany, C. 2018, The benefits of using artificial intelligence in payment fraud detection: a case study, Journal of payments strategy and systems, Journal of Payments Strategy and Systems, vol.12, no.2, pp.102-110.

2.3 Δοκίμια εργασίας πλήρους κειμένου = Full-text working papers

2020 Alekseeva, L. [et al.] 2020, The demand for AI skills in the labor market, CEPR Discussion Papers, no.14320. Bartram, S.M., Branke, J. and Motahari, M. 2020, Artificial intelligence in asset management, CEPR Discussion Papers, no.14525. Cao, S., 2020. How to talk when a machine is listening: corporate disclosure in the age of AI, NBER Working Papers, no.27950. NBER Conference: Economics of artificial intelligence (Fall 2020)

2019 Acemoglu, D. and Restrepo, P. 2019, The wrong kind of AI? Artificial intelligence and the future of labor demand, CEPR Discussion Papers, no.14223. Agrawal, A., Gans, J.S. and Goldfarb, A. 2019, Artificial intelligence: the ambiguous labor market impact of automating prediction, NBER Working Papers, no.25619. March, C. 2019, The behavioral economics of artificial intelligence: lessons from experiments with computer players, CESifo Working Paper Series, no.7926. Maliar, L., Maliar, S. and Winant, P. 2019, Will artificial intelligence replace computational economists any time soon?, CEPR Discussion Papers, no.14024.

2018 Acemoglu, D. and Restrepo, P. 2018, Artificial intelligence, automation and work, Boston University - Department of Economics - The Institute for Economic Development Working Papers Series, no.dp-298. Furman, J. and Seamans, R., 2018. AI and the economy, NBER Working Papers, no. 24689. Bergemann, D. and Bonatti, A. 2018, Markets for information: an introduction, Cowles Foundation Discussion Papers, no.2142.

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Stern, S., Henderson, R. and Cockburn, I.M. 2018, The impact of artificial intelligence on innovation, NBER Working Papers, no.24449. Trajtenberg, M. 2018, AI as the next GPT: a political-economy perspective, NBER Working Papers, no.24245 Varian, H., 2018, Artificial intelligence, economics and industrial organization, NBER Working Papers, no.24839. Woodford, M. 2018, Monetary policy analysis when planning horizons are finite, CESifo Working Paper Series, no.7108.

2015 Nordhaus, W.D. 2015, Are we approaching an economic singularity? Information technology and the future of economic growth, Cowles Foundation Discussion Papers, no.2021.

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2.4 Ηλεκτρονικά βιβλία = Electronic books

2020

Hilpisch, Y. 2020, Artificial intelligence in finance, O’Reilly Media, Beijing. Available from: O'Reilly Media, Inc.

Norris, M. 2020, The value of AI-powered business intelligence, O’Reilly Media, Beijing. Available from: O'Reilly Media, Inc.

Rob, T. and Zikopoulos, P. 2020, The AI ladder, O’Reilly Media, Beijing. Available from: O'Reilly Media, Inc.

3 Για την πρόσβαση στις πλατφόρμες Ebook Central και O’Reilly απαιτείται δημιουργία λογαριασμού (Sign in/Create account). Για περισσότερες πληροφορίες παρακαλούμε επικοινωνήστε με τη Βιβλιοθήκη.

4In order to access both Ebook Central and O’Reilly platforms, it is required to create an account (Sign in/Create account). For further information, please contact the Library.

Επιλεκτικά παρατίθενται ηλεκτρονικά βιβλία από τις πλατφόρμες Ebook Central και O’Reilly3. Οι βιβλιογραφικές αναφορές κατατάσσονται σε αντίστροφη χρονολογική σειρά κατά συγγραφέα.

Below you may find a selective list of electronic books from the Ebook Central and O’Reilly4 platforms. Bibliographic references are arranged in reverse chronological order by author.

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2019

Addo, A. 2019, Artificial intelligence for risk management, Business Expert Press, New York. Available from: ProQuest Ebook Central.

Carmona, D. 2019, The AI organization, O’Reilly Media, Beijing. Available from: O'Reilly Media, Inc.

Donald, M. 2019, Leading and managing change in the age of disruption and artificial intelligence, Emerald Publishing Limited, Bingley. Available from: ProQuest Ebook Central.

LaPlante, A. … [et al.] 2019, Fighting financial crimes with artificial intelligence, O’Reilly Media, Beijing. Available from: O'Reilly Media, Inc.

Lawless, W. … [et al.] (eds) 2019, Artificial intelligence for the Internet of everything, Elsevier Science & Technology, San Diego. Available from: ProQuest Ebook Central.

Marr, B 2019, Artificial intelligence in practice: how 50 successful companies used AI and machine learning to solve problems, John Wiley & Sons, Incorporated, Newark. Available from: ProQuest Ebook Central.

2018

Boobier, T. 2018, Advanced analytics and AI: impact, implementation, and the future of work, John Wiley & Sons, Incorporated, Newark. Available from: ProQuest Ebook Central.

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Falomir, Z., Gibert, K, and Plaza, E. (eds) 2018, Artificial intelligence research and development: current challenges, new trends and applications, IOS Press, Incorporated, Amsterdam. Available from: ProQuest Ebook Central.

Pradeep, A.K., Appel, A., and Sthanunathan, S. 2018, AI for marketing and product innovation: powerful new tools for predicting trends, connecting with customers, and closing sales, John Wiley & Sons, Incorporated, Newark. Available from: ProQuest Ebook Central.

2017

Annunziata, F., Bani, E., and Bassini, M. 2017, FinTech : Introduzione ai profili giuridici di un mercato unico tecnologico dei servizi finanziari, G. Giappichelli, Turin. Available from: ProQuest Ebook Central.

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3. Συνδρομητικές βάσεις δεδομένων = Subscribed databases

Organisation for Economic Cooperation and Development (OECD)

Projects on Artificial intelligence

Going for digital project The OECD is working on the OECD Going Digital project. To bring about stronger and more inclusive growth from the digital revolution, it is essential to build a coherent and comprehensive policy approach. This is the essence of the OECD's Going Digital project. The project is designed to actively engage with governments, stakeholders, and independent experts, including through workshops and roundtables planned in various countries before, during and after the analysis has been completed. In terms of the project, the OECD published The OECD Principles on Artificial intelligence to promote artificial intelligence (AI) that is innovative and trustworthy and that respects human rights and democratic values. They were adopted in May 2019 by OECD member countries when they approved the OECD Council Recommendation on Artificial intelligence. OECD AI Policy Observatory The OECD.AI Policy Observatory is a unique source of real-time information, analysis and dialogue designed to shape and share AI policies across the globe. Its country dashboards allow you to browse and compare hundreds of AI policy initiatives in over 60 countries and territories. An AI-powered tool also allows you to follow COVID-19 developments around the world. The OECD.AI Policy Observatory also hosts the AI Wonk blog, a space where the OECD Network of Experts on AI and guest contributors share their experiences and research. OECD Technology Foresight Forum 2016 on Artificial intelligence (AI) On 17 November 2016 the OECD held a Technology Foresight Forum on Artificial intelligence. OECD Technology Foresight Forums have been organised since 2005 to help identify opportunities and challenges for the Internet economy posed by technical developments. Forum topics have included cloud computing (2009), ICTs and green growth (2010) big data (2012) and The internet of things (2014).

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OECD i-Library Publications: Artificial intelligence in society (2019) Van Beuzekom, B. … [et al.] 2020. Identifying and measuring developments in artificial intelligence: making the impossible possible, In: OECD Science, Technology and Industry Working Papers Artificial intelligence and the technologies of the next production revolution (chapter), 2018, In: OECD Science, Technology and Innovation Outlook 2018. Adapting to Technological and Societal Disruption Artificial intelligence, blockchain and quantum computing (chapter), 2020, In: OECD Digital economy outlook 2020. Artificial intelligence, digital technology and advanced production (chapter), 2020, In: The Digitalisation of Science, Technology and Innovation, Key Developments and Policies

American Economic Association

Συνέδριο με διοργάνωση από την American Economic Association το 2018= conference organized by the American Economic Association in 2018. Economic Consequences of Artificial Intelligence and Robotics, 2018, webcast Άρθρα από περιοδικά της American Economic Association = Articles from the journals published by the American Economic Association: Agrawal, A. Gans, J. S. and Goldfarb, A., 2019, “Artificial intelligence: the ambiguous labor market impact of automating prediction”, Journal of Economic Perspectives, vol. 33, no. 2, pp. 31-50. Agrawal, A., Gans, J. S. and Goldfarb, A., 2018, “Human judgement and AI pricing”, AEA Papers and Proceedings, vol. 108, pp. 58-63. Atack, J., Margo, R. A. and Rhode, P. W., 2019, “”Automation’ of manufacturing in the late nineteenth century: the hand and machine labor study”, Journal of Economic Perspectives, vol. 33, no. 2, pp. 51-70.

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Athey, S. C., Bryan, K. A. and Gans, J. S., 2020, “The allocation of decision authority to human and artificial intelligence”, AEA Papers and Proceedings, vol. 110, pp. 80-84. Autor, D. H., 2015, “Why are there still so many jobs? The history and future of workplace automation”, Journal of Economic Perspectives, vol. 29, no. 3, pp. 3-30. Calvano, E. [et al.] 2020, “Artificial intelligence, algorithmic pricing, and collusion”, American Economic Review, vol. 110, no.10, pp. 3267-3297. Felten, E. W., Raj, M. and Seamans, R., 2018, “A method to link advances in artificial intelligence to occupational abilities”, AEA Papers and Proceedings, vol. 108, pp. 54-57. Fernald, J. G. and Jones, C. I., 2014, “The future of US economic growth”, American Economic Review, vol. 104, no. 5, pp. 44-49. Goldfarb, A., Taska, B. and Teodoridis, F., 2020, “Artificial intelligence in health care? Evidence from online job postings”, AEA Papers and Proceedings, vol. 110, pp. 400-404. Pratt, G. A., 2015, “Is a Cambrian explosion coming for robotics?”, Journal of Economic Perspectives, vol. 29, no. 3, pp. 51-60.

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4. Πηγές από το διαδίκτυο = Websites 4.1 Ελληνικές πηγές = Greek resources

Τράπεζα της Ελλάδος = Bank of Greece

Ομιλίες και δοκίμια εργασίας για την τεχνητή νοημοσύνη και την οικονομία: Στουρνάρας, Γ., 2020, Η τεχνητή νοημοσύνη και ο ρόλος της στην οικονομία, τη διοίκηση – οργάνωση επιχειρήσεων και τον χρηματοπιστωτικό τομέα, ομιλία στο Ινστιτούτο για το Δίκαιο Προστασίας της Ιδιωτικότητας, των Προσωπικών Δεδομένων και την Τεχνολογία του EPLO (European Public Law Organization) Zombanakis, G. A. and Andreou, A. S., 2006, Computational intelligence in exchange-rate forecasting, Working Paper, no. 49.

Γνωσιακή Βάση: Ι. Δημοσιεύσεις = Knowledge Base: I. Publications Albani, M., Anyfantaki, S. and Lazaretou, S., 2019, “How do digital technologies drive Greece’s economic growth? Opportunities and challenges, Economic Bulletin, no. 49, pp. 74-92.

4.2 Διεθνείς πηγές = International resources Στην ενότητα αυτή έχουν επιλεχθεί ιστοχώροι για την τεχνητή νοημοσύνη και την οικονομία ελεύθερα προσβάσιμοι από το διαδίκτυο.5

In this section a selection of websites on Artificial intelligence and the economy is presented.

European Central Bank

Publications and reports by the European Central Bank on artificial intelligence and relevant issues: Boot, A. [et al.] 2020, Financial intermediation and technology: what’s old, what’s new?, Working Paper Series, no.2438

5 Οι πληροφορίες προέρχονται από τους ιστοχώρους και η μετάφραση στα ελληνικά έγινε από τους συντάκτες της Βιβλιογραφίας. The information comes from the pertinent websites and the Greek translation is done by the editors of the Bibliography.

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Implications of digitization in retail payments for the Eurosystem’s catalyst role, July 2019.

European Union

EU Science Hub: the European Commission’s Science and Knowledge Service

Publications and reports:

Artificial intelligence: a European perspective

This report is one of a series of reports for the future of Europe. It presents a European view of Artificial intelligence (AI) based on independent research and analysis by the JRC (Joint Research Centre) to inform the debate at the European level. “We are only at the beginning of a rapid period of transformation of our economy and society due to the convergence of many digital technologies. Artificial intelligence (AI) is central to this change. We still know very little about how AI will impact the way we think, make decisions, relate to each other, and how it will affect our jobs. This uncertainty can be a source of concern but is also a sign of opportunity. The future is not yet written. We can shape it based on our collective vision of what future we would like to have. But we need to act together and act fast.” AI Watch. Defining Artificial intelligence

This report proposes an operational definition of artificial intelligence to be adopted in the context of AI Watch, the Commission knowledge service to monitor the development, uptake and impact of artificial intelligence for Europe. Artificial intelligence for Europe: policy paper: Jan. 2019

Position paper by European Economic and Social Committee

Artificial intelligence (AI) and automation processes have enormous potential to improve European society in terms of innovation and positive transformation, but they also pose significant challenges, risks and concerns when it comes to law and regulations, education, work, ethics, equality, access, safety and privacy, to name a few. The European Economic and Social Committee (EESC) believes that it is therefore essential to promote an informed and balanced public debate on AI involving all relevant stakeholders. European Commission. Digital Transformation Monitor Artificial intelligence

Report: Harnessing the economic benefits of Artificial intelligence

28 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

The industry is unanimous: AI will change the world and be ubiquitous in tomorrow’s economy. AI major gains are likely to focus on productivity, efficiency, automation and costs, enabling consumers and businesses to capitalise on the digital economy. However, companies that fail to recognise the advent of AI and respond to them by disrupting themselves, innovating and re-engineering their business models will, at best, lose their competitive advantage, and at worst, disappear. European Commission. Digital Transformation Monitor

Seminar proceedings: Interactive Policy Seminar on Artificial intelligence

On the 29th of November 2020, the Commission organised an interactive Policy Seminar on Artificial intelligence in Brussels gathering over a hundred of participants. The seminar was the occasion for AI experts from businesses, public bodies and renowned research institutes to share their vision and discuss policy recommendations to support the creation of a strong European AI industry.

World Bank

Publications by the World Bank on artificial intelligence and the economy:

Biallas, M. O. and O’Neill, F., 2020, Artificial intelligence innovation in financial services, EMCompass, no. 85, Washington, D.C.: World Bank Group. Cook, P. A. and O’ Neill, F., 2020, Artificial intelligence in agribusiness is growing in emerging markets, EMCompass, no.82, Washington, D.C.: World Bank Group. Developing artificial intelligence sustainably: toward a practical code of conduct for disruptive technologies, 2020, EMCompass, no.80, Washington, D.C.: World Bank Group. Harnessing artificial intelligence for development: a new policy and regulatoty framework, 2020, Digitalk, Washington, D.C.: World Bank Group. Makala, B. and Bakovic, T. R., 2020, Artificial intelligence in the power sector, EMCompass, no.81, Washington, D.C.: World Bank Group. Mockel, P. and Makals, B., 2019, Artificial intelligence and 5G mobile technology can drive investment opportunities in emerging markets, EMCompass, no.75, Washington, D.C.: World Bank Group. Mou, X., 2019, Artificial intelligence: investment trends and selected industry uses, EMCompass, no. 71, Washington, D.C.: World Bank Group.

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Niforos, M., 2019, Bridging the trust gap: blockchain’s potential to restore trust in artificial intelligence in support of new business models, EMCompass, no. 74, Washington, D.C.: World Bank Group. Strusani, D. and Houngbonon, G. V., 2019, The role of artificial intelligence in supporting development in emerging markets, EMCompass, no. 69, Washington, D.C.: World Bank Group.

International Monetary Fund

Το Διεθνές Νομισματικό Ταμείο δημοσιεύει δοκίμια εργασίας, έγγραφα προσωπικού και δημιουργεί υλικό για την τεχνητή νοημοσύνη και την οικονομία σε συνεντεύξεις, podcasts, videos, blogs. Ακολουθεί επιλογή δημοσιευμάτων από τον ιστοχώρο του. The International Monetary Fund publishes several working papers, staff documents and creates material on artificial intelligence and the economy in podcasts, videos, blogs and interviews. Here is a selection of publications freely available on its website. Bazarbash, M., 2019, FinTech in financial inclusion: machine learning applications in assessing credit risk, IMF Working Paper,, no.19/109

Berg, A.; Buffie, E. F.; Zanna, L.-F., 2018, Should we fear the robot revolution? (the correct answer is yes), IMF Working Paper, no.18/116

Bolhuis, M. A.; Rayner, B., 2020, Deus ex machina? A framework for macro forecasting with machine learning, IMF Working Paper, no.20/45.

Bolhuis, M. A.; Rayner, B., 2020, The more the merrier? A machine learning algorithm for optimal pooling of panel data, IMF Working Paper, no.20/44.

Boot, A. W. A. [et al.] 2020, Financial intermediation and technology: what’s old, what’s new?, IMF Working Paper, no.20/161

Che, Natasha X., 2020, Intelligent export diversification: an export recommendation system with machine learning, IMF Working Paper no.20/175.

Das, S. R., 2016, “Big data’s big muscle”, Finance and Development, vol.53, no.3

30 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

Hu, N.; Li, J.; Meyer-Cirkel, A., 2019, Completing the market: generating shadow CDS spreads by machine learning, IMF Working Paper, no.19/292.

Jung, J.-K.; Patnam, M.; Ter-Martirosyan, A., 2018, An algorithmic crystal ball: forecasts-based on machine learning, IMF Working Paper, no.18/230

Tiffin, A. J., 2019, Machine learning and causality: the impact of financial crises on growth, IMF Working Paper, no.19/228

IMF videos: New economy talk: governing the ascent of artificial intelligence, 20-4-2018

IMF videos: Macroeconomics and labor in the age of AI and AI workshop, 3-6-2020

The Global Partnership on Artificial intelligence (GPAI)

The Global Partnership on Artificial intelligence (GPAI) is a multi-stakeholder initiative which aims to bridge the gap between theory and practice on AI by supporting cutting-edge research and applied activities on AI-related priorities. Built around a shared commitment to the OECD Recommendation on Artificial intelligence, GPAI brings together engaged minds and expertise from science, industry, civil society, governments, international organisations and academia to foster international cooperation.

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5. Κατάλογος θεμάτων που δημοσιεύθηκαν σε προηγούμενα τεύχη της Βιβλιογραφίας / List of topics

published in previous issues of the Bibliography 2020

Κλιματική αλλαγή και οι επιπτώσεις στην οικονομία / Climate change and its impact on the economy Τεύχος 56, Ιούλιος-Σεπτέμβριος / Issue 56, July-September Χρηματοοικονομική τεχνολογία / FinTech Τεύχος 55, Απρίλιος-Ιούνιος / Issue 55, April-June Η πανδημία Covid-19 και η οικονομία / The Covid-19 pandemic and the economy Τεύχος 54, Ιανουάριος-Μάρτιος / Issue 54, January-March

2019

Βραβείο Νόμπελ στην οικονομική επιστήμη / Nobel Prize in Economics Τεύχος 53, Οκτώβριος-Δεκέμβριος / Issue 53, October-December Ενέργεια / Energy Τεύχος 51-52, Απρίλιος-Σεπτέμβριος / issue 51-52, April-September Προσωπικότητες στην οικονομική επιστήμη / Great economists τεύχος 50, Ιανουάριος-Μάρτιος / issue 50, January-March

2018

Οικονομία του Μεσοπολέμου, 1918-1939 / Inter-war economy, 1918-1939 τεύχος 49, Οκτώβριος-Δεκέμβριος / issue 49, October-December Τουρισμός, 2η έκδ. / Tourism, 2nd ed. τεύχος 48, Ιούλιος-Σεπτέμβριος / issue 48, July-September Νομισματική πολιτική / Monetary policy τεύχος 47, Απρίλιος-Ιούνιος / issue 47, April-June Εκδόσεις της Τράπεζας της Ελλάδος: 90 χρόνια / Bank of Greece publications: 90 years τεύχος 46, Ιανουάριος-Μάρτιος / issue 46, January-March

32 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

20176

Εμπόριο / Commerce τεύχος 45, Οκτώβριος-Δεκέμβριος / issue 45, October-December Φορολογία / Taxation τεύχος 44, Ιούλιος-Σεπτέμβριος / issue 44, July-September Ευρωπαϊκή Ένωση: 60 χρόνια τεύχος 43, Απρίλιος-Μάιος

European Union: 60 years issue 43, April-May

Τραπεζικό δίκαιο τεύχος 42, Ιανουάριος – Μάρτιος

Banking law issue 42, January-March

2016

Χρηματοοικονομική κρίση 3η έκδ. τεύχος 41, Οκτώβριος-Δεκέμβριος

Financial crisis 3rd ed. issue 41, October-December

Αποκρατικοποιήσεις 2η έκδ. τεύχος 40, Ιούλιος-Σεπτέμβριος

Privatization 2nd ed. issue 40, July-September

Οικονομικά της υγείας τεύχος 39, Απρίλιος-Ιούνιος

Health economics issue 39, April-June

Πολιτικές περιβάλλοντος και οικονομία τεύχος 38, Ιανουάριος-Μάρτιος

Environmental policy and the economy issue 38, January-June

2015

Συστήματα πληρωμών τεύχος 37, Οκτώβριος-Δεκέμβριος

Payment systems issue 37, October-December

Ηλεκτρονική τραπεζική τεύχος 36, Ιούλιος-Σεπτέμβριος

Electronic banking issue 36, July-September

Ιδιωτική ασφάλιση τεύχος 35, Απρίλιος-Ιούνιος

Private insurance issue 35, April-June

Εποπτεία τραπεζών τεύχος 34, Ιανουάριος-Μάρτιος

Banking supervision issue 34, January-March

2014

6 Από το τεύχος 44, Ιούλιος - Σεπτέμβριος 2017 η έκδοση είναι δίγλωσση / Beginning from issue no.44, July-September 2017 the publication is bilingual.

33 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

Ξενοφών Ζολώτας: η εργογραφία του στη Βιβλιοθήκη της Τράπεζας της Ελλάδος τεύχος 33, Νοέμβριος-Δεκέμβριος

Xenophon Zolotas: his works at the Bank of Greece Library issue 33, November-December

Λογιστική τεύχος 32, Ιούλιος-Οκτώβριος

Accounting issue 32, July-September

Οικονομική ιστορία της Ελλάδας τεύχος 31, Απρίλιος-Ιούνιος

Economic history of Greece issue 31, April-June

Ιστορία της οικονομικής σκέψης τεύχος 30, Ιανουάριος-Μάρτιος

History of economic thought issue 30, January-March

2013

Επιχειρηματικότητα τεύχος 29, Νοέμβριος-Δεκέμβριος

Entrepreneurship issue 29, November-December

Οικονομετρία τεύχος 28, Σεπτέμβριος-Οκτώβριος

Econometrics issue 28, September-October

Τέχνες: μια άλλη διάσταση από τη συλλογή της Βιβλιοθήκης τεύχος 26-27, Μάιος-Αύγουστος

Arts: another dimension from the Library’s collection issue 26-27, May-August

Ο τραπεζικός τομέας στην Ελλάδα τεύχος 25, Μάρτιος-Απρίλιος

Banking sector in Greece issue 25, March-April

Εργασία, απασχόληση και ανεργία στην Ελλάδα τεύχος 24, Ιανουάριος-Φεβρουάριος

Labor, employment and unemployment in Greece issue 24, January-February

2012

Χαρτονομίσματα και νομίσματα τεύχος 23, Νοέμβριος-Δεκέμβριος

Banknotes and coins issue23, November-December

Πολυεθνικές επιχειρήσεις τεύχος 22, Σεπτέμβριος-Οκτώβριος

Multinational enterprises issue 22, September-October

Η βιομηχανία στην Ελλάδα τεύχη 20-21, Μάιος-Αύγουστος

Industry in Greece issue 20-21, May-August

Η γεωργία στην Ελλάδα τεύχος 19, Μάρτιος-Απρίλιος

Agriculture in Greece issue 19, March-April

Ναυτιλία τεύχος 18, Ιανουάριος-Φεβρουάριος

Shipping issue 18, January-February

34 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy

2011

Τουρισμός τεύχος 17, Νοέμβριος-Δεκέμβριος

Tourism issue 17, November-December

Χρηματοοικονομική κρίση 2η έκδοση, τεύχη 15-16, Σεπτέμβριος-Οκτώβριος

The financial crisis 2nd ed. issue 15-16, September-October

Φοροδιαφυγή - Φοροαποφυγή τεύχη 13-14, Ιούλιος-Αύγουστος

Tax evasion – Tax avoidance issue 13-14, July-August

Αγορά κατοικίας τεύχος 12, Ιούνιος

Housing market issue 12, June

Βασιλεία I, II, III τεύχος 11, Μάιος

Basel I, II, III issue 11, May

Δημόσιο χρέος τεύχη 9-10, Μάρτιος-Απρίλιος

Public debt issue 9-10, March-April

Αποκρατικοποιήσεις τεύχος 8, Φεβρουάριος

Privatization issue 8, February

Συμβόλαια ανταλλαγής πιστωτικής αθέτησης τεύχος 7, Ιανουάριος

Credit Default Swaps-CDSs issue 7, January

2010

Εταιρική διακυβέρνηση τεύχος 5-6, Νοέμβριος-Δεκέμβριος

Corporate governance issue 5-6, November-December

Εποπτεία ασφαλιστικού κλάδου τεύχος 4, Οκτώβριος

Actuaries in insurance Issue 4, October

Κανονιστική συμμόρφωση στις τράπεζες τεύχος 3, Σεπτέμβριος

Compliance in banks issue 3, September

Άσκηση προσομοίωσης ακραίων καταστάσεων στις τράπεζες τεύχος 2, Αύγουστος

Stress testing in banks issue 2, August

Χρηματοοικονομική κρίση τεύχος 1, Ιούλιος

The financial crisis issue 1, July

35 Βιβλιογραφία, αρ.57 (Οκτώβριος-Δεκέμβριος 2020), Η τεχνητή νοημοσύνη (ΤΝ) και η οικονομία Bibliography, no.57 (October-December 2020), Artificial intelligence (AI) and the economy