Should we regulate Artificial Intelligence or some uses of software?

Sivek SC. Social media under social control: regulating social media and the future of socialization. Electron News. 2010;4(3):146–64.

O’Sullivan S, Nevejans N, Allen C, Blyth A, Leonard S, Pagallo U, Holzinger K, Holzinger A, Sajid MI, Ashrafian H. Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery. Int J Med Robot Comput Assist Surg. 2019;15(1):1968.

Carp JA. Autonomous vehicles: problems and principles for future regulation. Univ Pa J Law Public Aff. 2018;4(1):5.

Lightbourne J. Algorithms & fiduciaries: existing and proposed regulatory approaches to artificially intelligent financial planners. Duke Law J. 2017;67(3):651–79.

Ebers M, Hoch VR, Rosenkranz F, Ruschemeier H, Steinrötter B. The European commission’s proposal for an artificial intelligence act—a critical assessment by members of the robotics and AI law society (RAILS). J. 2021;4(4):589–603.

Veale M, Borgesius FZ. Demystifying the draft EU artificial intelligence act—analysing the good, the bad, and the unclear elements of the proposed approach. Comput Law Rev Int. 2021;22(4):97–112.

Kiseleva A. Comments on the EU proposal for the artificial intelligence act. SSRN 3949585. 2021.

Smuha NA. From a ‘race to AI’ to a ‘race to AI regulation’: regulatory competition for artificial intelligence. Law Innov Technol. 2021;13(1):57–84.

Ellul J, Pace G, McCarthy S, Sammut T, Brockdorff J, Scerri M. Regulating artificial intelligence: a technology regulator’s perspective. In: Proceedings of the eighteenth international conference on artificial intelligence and law. 2021. p. 190–4.

Erdélyi OJ, Goldsmith J. Regulating artificial intelligence: proposal for a global solution. In: Proceedings of the 2018 AAAI/ACM conference on AI, ethics, and society. 2018. p. 95–101.

Hamon R, Junklewitz H, Sanchez I, Malgieri G, De Hert P. Bridging the gap between AI and explainability in the GDPR: towards trustworthiness-by-design in automated decision-making. IEEE Comput Intell Mag. 2022;17(1):72–85.

Wagner B. Ethics as an escape from regulation: from ethics-washing to ethics-shopping. In: Being profiling: cogitas ergo sum. Amsterdam: Amsterdam University Press; 2018. p. 86–90.

Zielke T. Is artificial intelligence ready for standardization? In: European conference on software process improvement. Springer; 2020. p. 259–74.

Lehman-Wilzig SN. Frankenstein unbound: towards a legal definition of artificial intelligence. Futures. 1981;13(6):442–57.

Schank RC. What is AI, anyway? AI Mag. 1987;8(4):59.

Wang P. What do you mean by “AI’’? AGI. 2008;171:362–73.

Dobrev D. A definition of artificial intelligence. arXiv preprint. 2012. arXiv:1210.1568.

Schuett J. A legal definition of AI. arXiv preprint. 2019. arXiv:1909.01095.

Krafft P, Young M, Katell M, Huang K, Bugingo G. Defining AI in policy versus practice. In: Proceedings of the AAAI/ACM conference on AI, ethics, and society. 2020. p. 72–8.

Wang P. On defining artificial intelligence. J Artif Gen Intell. 2019;10(2):1–37.

Cassez F, Dubreil J, Marchand H. Synthesis of opaque systems with static and dynamic masks. Formal Methods Syst Des. 2012;40(1):88–115.

Kissner L, Song D. Privacy-preserving set operations. In: Annual international cryptology conference. Springer; 2005. p. 241–57.

Lynn B, Prabhakaran M, Sahai A. Positive results and techniques for obfuscation. In: International conference on the theory and applications of cryptographic techniques. Springer; 2004. p. 20–39.

Mogul JC. Emergent (mis) behavior vs. complex software systems. ACM SIGOPS Oper Syst Rev. 2006;40(4):293–304.

O’Leary DE. Artificial intelligence and big data. IEEE Intell Syst. 2013;28(2):96–9.

Bartneck C, Lütge C, Wagner A, Welsh S. An introduction to ethics in robotics and AI. Cham: Springer; 2021.

Dornis TW. Artificial intelligence and innovation: the end of patent law as we know it. Yale J Law Technol. 2020;23:97.

Mezei P. “You ain’t seen nothing yet’’—arguments against the protectability of AI-generated outputs by copyright law. Arguments against the Protectability of AI-generated Outputs by Copyright Law. 2021. https://doi.org/10.2139/ssrn.3890051.

Ramezani SB, Sommers A, Manchukonda HK, Rahimi S, Amirlatifi A. Machine learning algorithms in quantum computing: a survey. In: 2020 international joint conference on neural networks (IJCNN). IEEE;2020. p. 1–8.