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Ethical artificial intelligence framework for a good AI society: principles, opportunities and perils

Paraman, Pradeep, Anamalah, Sanmugam·2023·AI & SOCIETY
DOI 10.1007/s00146-022-01458-3
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Research works printed but not linked: 53

  1. Berente M, Gu B, Recker J, Santhanam R (2021) Managing artificial intelligence. MIS Q 45(3):1433–1450
  2. Brady H (2019) The challenge of big data and data science. Annu Rev Polit Sci 22:297–323 · DOI
  3. Braun M, Hummel P, Beck S, Dabrock P (2020) Primer on an ethics of AI-based decision support systems in the clinic. J Med Ethics 47(12):e3–e3 · DOI
  4. Brundage, M, Avin, S, Clark, J, Toner, H, Eckersley, P, Garfinkel, B, Dafoe, A, Scharre, P, Zeitzoff, T, Filar, B, Anderson, H, Roff, H, Allen, GC, Steinhardt, J, Flynn, C, Ó hÉigeartaigh, S, Beard, S, Belfield, H, Farquhar, S, Lyle, C, Crootof, R, Evans, O, Page, M, Bryson, J, Yampolskiy R, and Amode D (2018) The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. (n.d.). arXiv.org e-Print archive. https://arxiv.org/ftp/arxiv/papers/1802/1802.07228.pdf. Accessed 24 Mar 21
  5. Brynjolfsson E, Rock D, Syverson C, National Bureau of Economic Research (2017) Artificial intelligence and the modern productivity paradox: a clash of expectations and statistics. National Bureau of Economic Research, Cambridge
  6. Čerka P, Grigienė J, Sirbikytė G (2017) Is it possible to grant legal personality to artificial intelligence software systems? Comput Law Secur Rev 33(5):685–699. https://doi.org/10.1016/j.clsr.2017.03.022 · DOI
  7. Christakis T (2020) European digital sovereignty’: Successfully navigating between the ’Brussels Efect’ and Europe’s quest for strategic autonomy. Archived manuscript · DOI
  8. Crowder JA (2010) Flexible object architectures for hybrid neural processing systems. In: International conference on artificial intelligence, ICAI’10 · DOI
  9. Crowder JA (2011) Metacognition and metamemory concepts for AI systems. In: International conference on artificial intelligence, ICAI’11
  10. Crowder G (2013) Theories of multiculturalism: an introduction. Polity Press, Oxford. p 256. Pbk J Soc Policy 43(4):854–855 · DOI
  11. Dean T (2012) Evolution and moral diversity. Baltic international yearbook of cognition, logic and communication, vol 7 · DOI
  12. Dennis L, Fisher M, Slavkovik M, Webster M (2016) Formal verification of ethical choices in autonomous systems. Robot Auton Syst 77:1–14 · DOI
  13. Donaldson T, Dunfee TW (1999) Ties that bind: a social contracts approach to business ethics. Harvard Business School Press, Cambridge
  14. Edelmann A, Wolf T, Montagne D, Bail CA (2020) Computational social science and sociology. Annu Rev Sociol 46:61–81 · DOI · Paper page
  15. European Group on Ethics in Science and New Technologies (2019) Future of work, future of society. Jahrbuch für Wissenschaft und Ethik 24(1):391–424. https://doi.org/10.1515/jwiet-2019-0017. Accessed 24 Nov 2022 · DOI
  16. Floridi L (2013) The Ethics of Information. Oxford University Press, Oxford · DOI
  17. Floridi L, Cowls J, Beltrametti M et al (2018b) AI4People—an ethical framework for a good AI Society: opportunities, risks, principles, and recommendations. Minds Mach 28(4):689–707 · DOI · Paper page
  18. Floridi L, Cowls J, Beltrametti M et al (2018c) AI4People—an ethical framework for a good AI society: opportunities, risks, principles, and recommendations. Minds Mach 28:689–707 · DOI · Paper page
  19. Floridi L, Cowls J, Beltrametti M, Chatila R, Chazerand P, Dignum V, Luetge C, Madelin R, Pagallo U, Rossi F, Schafer B, Valcke P, Vayena E (2018d) AI4People—an ethical framework for a good AI society: opportunities, risks, principles, and recommendations. Minds Mach 28(4):689–707 · DOI · Paper page
  20. Floridi L, Cowls J, Beltrametti M, Chatila R, Chazerand P, Dignum V et al (2019) AI4People—an ethical framework for a good AI society: opportunities, risks, principles, and recommendations. Minds Mach 28:689–707 · DOI · Paper page
  21. Frey CB (2019) The technology trap. Princeton University Press · DOI
  22. Gado S, Kempen R, Lingelbach K, Bipp T (2021) Artificial intelligence in psychology: how can we enable psychology students to accept and use artificial intelligence? Psychol Learn Teach 21(1):37–56. https://doi.org/10.1177/14757257211037149 · DOI · Paper page
  23. Galas L, Burel C, Schapman D, Ropitaux M, Bernard S, Bénard M et al (2021) Comparative Structural and functional analyses of the fusiform, oval, and triradiate morphotypes of Phaeodactylum tricornutum Pt3 strain. Front Plant Sci 12:638181. https://doi.org/10.3389/fpls.2021.638181 · DOI
  24. Garvey C (2019) Artificial intelligence and Japan’s fifth generation: the information society, neoliberalism, and alternative modernities. Pac Histor Rev 88(4):619–658 · DOI
  25. Gray ML, Suri S (2019) Ghost work: how to stop Silicon Valley from building a new global underclass. Eamon Dolan Books, Boston
  26. Griffith MK (2018) A comprehensive security approach: Bolstering Finnish cybersecurity capacity. J Cyber Policy 3(3):407–429 · DOI
  27. Gibson W (2016) Neuromancer. Gollancz, London
  28. Hoey J, Schröder T, Morgan J, Rogers KB, Rishi D, Nagappan M (2018) Artificial intelligence and social simulation: studying group dynamics on a massive scale. Small Group Res 49(6):647–683 · DOI
  29. Hogarth I (2018) AI nationalisms. IEEE Global Initiative (2016). Ethically aligned design. IEEE Standards, 1
  30. Hummel P, Braun M, Dabrock P (2019) Data donations as exercises of sovereignty. In: Krutzinna J, Floridi L (eds) The ethics of medical data donation. Springer International Publishing, Cham, pp 23–54. https://plus.google.com/+UNESCO (2020). Artificial Intelligence. [online] UNESCO. https://en.unesco.org/artificial-intelligence. Accessed 6 Jan 2022 · DOI
  31. Kello L (2017) The virtual weapon and international order. Yale University Press, New Haven · DOI
  32. King T, Aggarwal N, Taddeo M, Floridi L (2018) Artificial intelligence crime: an interdisciplinary analysis of foreseeable threats and solutions. SSRN Electron J. https://doi.org/10.1007/s11948-018-00081-0 · DOI · Paper page
  33. Leonhard G (2017) Technology vs. humanity. https://doi.org/10.15358/9783800655342. Acessed 6 Oct 2021 · DOI
  34. Li M, Gao J, Zhou C, Shen XS, Zhuang W (2021) Slicing-based artificial intelligence service provisioning on the network edge: balancing AI service performance and resource consumption of data management. IEEE Veh Technol Mag 16(4):16–26. https://doi.org/10.1109/mvt.2021.3114655 · DOI
  35. Lichtenthaler U (2020) Extremes of acceptance: employee attitudes toward artificial intelligence. J Bus Strat 41:39–45 · DOI · Paper page
  36. Markus ML (2017) Datification, organizational strategy, and IS research: what’s the score? J Strateg Inf Syst 26(3):233–241 · DOI
  37. Mockute R, Desai S, Perera S, Assuncao B, Danysz K, Tetarenko N, Gaddam D, Abatemarco D, Widdowson M, Beauchamp S, Cicirello S, Mingle E (2019) Artificial intelligence within pharmacovigilance: a means to identify cognitive services and the framework for their validation. Pharm Med 33(2):109–120. https://doi.org/10.1007/s40290-019-00269-0 · DOI
  38. Mohamed S, Png M, Isaac W (2020) Decolonial AI: decolonial theory as sociotechnical foresight in artificial intelligence. Philos Technol 33(4):659–684. https://doi.org/10.1007/s13347-020-00405-8 · DOI · Paper page
  39. Mökander J, Schroeder R (2021) AI and social theory. AI Soc. https://doi.org/10.1007/s00146-021-01222-z · DOI
  40. Nerurkar M, Wadephul C, Wiegerling K (2016) Ethics of big data: Introduction. Int Rev Inf Ethics 24 · DOI
  41. Page S (2018) The model thinker: what you need to know to make data work for you. Basic Books, New York
  42. Parnas DL (2017) The real risks of artificial intelligence. Commun ACM 60(10):27–31. https://doi.org/10.1145/3132724 (Accessed on 24/5/21) · DOI
  43. Rist L, Felton A, Nyström M, Troell, M, Sponseller RA, Bengtsson J, Österblom H, Lindborg R, Tidåker P, Angeler DG, Milestad R, MoenJ (2014) Applying resilience thinking to production ecosystems. Ecosphere 5(6):art73. https://doi.org/10.1890/es13-00330. · DOI
  44. Rouse WB, Spohrer JC (2018) Automating versus augmenting intelligence. J Enterp Transform 8:1–21 · DOI
  45. Spohrer J, Banavar G (2015) Cognition as a service: an industry perspective. AI Mag 36(4):71–86
  46. Taddeo M (2018) The limits of deterrence theory in cyberspace. Philos Technol 31(3):339–355 · DOI · Paper page
  47. Timmers P (2019a) Ethics of AI and cyber security when sovereignty is at stake. Mind Mach 29(4):635–645. https://doi.org/10.1007/s11023-019-09508-4 · DOI
  48. Van Belkom R (2019) The impact of artificial intelligence on the activities of a futurist. World Futures Rev 12(2):156–168. https://doi.org/10.1177/1946756719875720.Accessedon15/3/21) · DOI
  49. Wang Z (2007) Artificial psychology. In: Smith MJ, Salvendy G (eds) Human interface and the management of information. Methods, techniques and tools in information design. Human interface 2007. Lecture notes in computer science, vol 4557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73345-4_25 · DOI
  50. Wang Z, Xie L (1999) Artificial psychology: an attainable scientific research on the human brain. In: Proceedings of the second international conference on intelligent processing and manufacturing of materials. IPMM’99 (Cat. No.99EX296), vol 2, pp 1067–1072. https://doi.org/10.1109/IPMM.1999.791528 · DOI
  51. Wang Z, Zhao Y, Hao C, Nagai M, Cui G (2001) An expert system of commodity choose applied with artificial psychology. In: 2001 IEEE international conference on systems, man and cybernetics. e-systems and e-man for cybernetics in cyberspace (Cat. No. 01CH37236), vol 4, pp 2326–2330. https://doi.org/10.1109/ICSMC.2001.972904 · DOI
  52. Wang Z, Xie L, Lu T (2016) Research progress of artificial psychology and artificial emotion in China. CAAI Trans Intell Technol. https://doi.org/10.1016/j.trit.2016.11.003 · DOI
  53. Yang (2001) Intangible assets and growth accounting: evidence from computer investments. Unpublished paper. MIT 85(61):28

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Metadata

Authors
Paraman, P., & Anamalah, S.
Venue
AI & SOCIETY
Publisher
Springer Science and Business Media LLC
Published
2022-06-21
Volume
38
Issue
2
Pages
595-611
ISSN
  • 0951-5666
  • 1435-5655
DOI
10.1007/s00146-022-01458-3
Cited by
63
References
12
Language
en
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