Regulation of algorithms

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Regulation of algorithms, or algorithmic regulation, is the creation of laws, rules and public sector policies for promotion and regulation of algorithms, particularly in artificial intelligence and machine learning.[1][2][3] For the subset of AI algorithms, the term regulation of artificial intelligence is used. The regulatory and policy landscape for artificial intelligence (AI) is an emerging issue in jurisdictions globally, including in the European Union.[4] Regulation of AI is considered necessary to both encourage AI and manage associated risks, but challenging.[5] Another emerging topic is the regulation of blockchain algorithms (Use of the smart contracts must be regulated) and is mentioned along with regulation of AI algorithms.[6] Many countries have enacted regulations of high frequency trades, which is shifting due to technological progress into the realm of AI algorithms.[7][8]

The motivation for regulation of algorithms is the apprehension of losing control over the algorithms, whose impact on human life increases. Multiple countries have already introduced regulations in case of automated credit score calculation—right to explanation is mandatory for those algorithms.[9][10] For example, The IEEE has begun developing a new standard to explicitly address ethical issues and the values of potential future users.[11] Bias, transparency, and ethics concerns have emerged with respect to the use of algorithms in diverse domains ranging from criminal justice[12] to healthcare[13]—many fear that artificial intelligence could replicate existing social inequalities along race, class, gender, and sexuality lines.

Regulation of artificial intelligence[edit]

Public discussion[edit]

In 2016, Joy Buolamwini founded Algorithmic Justice League after a personal experience with biased facial detection software in order to raise awareness of the social implications of artificial intelligence through art and research.[14]

In 2017 Elon Musk advocated regulation of algorithms in the context of the existential risk from artificial general intelligence.[15][16][17] According to NPR, the Tesla CEO was "clearly not thrilled" to be advocating for government scrutiny that could impact his own industry, but believed the risks of going completely without oversight are too high: "Normally the way regulations are set up is when a bunch of bad things happen, there's a public outcry, and after many years a regulatory agency is set up to regulate that industry. It takes forever. That, in the past, has been bad but not something which represented a fundamental risk to the existence of civilisation."[15]

In response, some politicians expressed skepticism about the wisdom of regulating a technology that is still in development.[16] Responding both to Musk and to February 2017 proposals by European Union lawmakers to regulate AI and robotics, Intel CEO Brian Krzanich has argued that artificial intelligence is in its infancy and that it is too early to regulate the technology.[17] Instead of trying to regulate the technology itself, some scholars suggest to rather develop common norms including requirements for the testing and transparency of algorithms, possibly in combination with some form of warranty.[18] One suggestion has been for the development of a global governance board to regulate AI development.[19] In 2020, the European Union published its draft strategy paper for promoting and regulating AI.[20]

Algorithmic tacit collusion is a legally dubious antitrust practise committed by means of algorithms, which the courts are not able to prosecute.[21] This danger concerns scientists and regulators in EU, US and beyond.[21] European Commissioner Margrethe Vestager mentioned an early example of algorithmic tacit collusion in her speech on "Algorithms and Collusion" on March 16, 2017, described as follows:[22]

"A few years ago, two companies were selling a textbook called The Making of a Fly. One of those sellers used an algorithm which essentially matched its rival’s price. That rival had an algorithm which always set a price 27% higher than the first. The result was that prices kept spiralling upwards, until finally someone noticed what was going on, and adjusted the price manually. By that time, the book was selling – or rather, not selling – for 23 million dollars a copy."

In 2018, the Netherlands employed an algorithmic system SyRI (Systeem Risico Indicatie) to detect citizens perceived being high risk for committing welfare fraud, which quietly flagged thousands of people to investigators.[23] This caused a public protest. The district court of Hague shut down SyRI referencing Article 8 of the European Convention on Human Rights (ECHR).[24]

In 2020, algorithms assigning exam grades to students in the UK sparked open protest under the banner "Fuck the algorithm."[25] This protest was successful and the grades were taken back.[26]

Implementation[edit]

AI law and regulations can be divided into three main topics, namely governance of autonomous intelligence systems, responsibility and accountability for the systems, and privacy and safety issues.[5] The development of public sector strategies for management and regulation of AI has been increasingly deemed necessary at the local, national,[27] and international levels[20] and in a variety of fields, from public service management[28] to law enforcement,[20] the financial sector,[27] robotics,[29] the military,[30] and international law.[31][32] There are many concerns that there is not enough visibility and monitoring of AI in these sectors.[33] In the financial sector, for example, there have been calls for the Consumer Financial Protection Bureau to more closely examine source code and algorithms when conducting audits of financial institutions' non-public data.[34]

In the United States, on January 7, 2019, following an Executive Order on 'Maintaining American Leadership in Artificial Intelligence', the White House’s Office of Science and Technology Policy released a draft Guidance for Regulation of Artificial Intelligence Applications, which includes ten principles for United States agencies when deciding whether and how to regulate AI.[35][36] In response, the National Institute of Standards and Technology has released a position paper,[37] the National Security Commission on Artificial Intelligence has published an interim report,[38] and the Defense Innovation Board has issued recommendations on the ethical use of AI.[39]

In April 2016, for the first time in more than two decades, the European Parliament adopted a set of comprehensive regulations for the collection, storage, and use of personal information, the General Data Protection Regulation (GDPR)1 (European Union, Parliament and Council 2016).[6] The GDPR’s policy on the right of citizens to receive an explanation for algorithmic decisions highlights the pressing importance of human interpretability in algorithm design.[40]

In 2016, China published a position paper questioning the adequacy of existing international law to address the eventuality of fully autonomous weapons, becoming the first permanent member of the U.N. Security Council to broach the issue,[31] and leading to proposals for global regulation.[41] In the United States, steering on regulating security-related AI is provided by the National Security Commission on Artificial Intelligence.[42]

In 2017, the U.K. Vehicle Technology and Aviation Bill imposes liability on the owner of an uninsured automated vehicle when driving itself and makes provisions for cases where the owner has made “unauthorized alterations” to the vehicle or failed to update its software. Further ethical issues arise when, e.g., a driverless car swerves to avoid a pedestrian and causes a fatal accident.[43]

Algorithm Certification[edit]

There is a concept of algorithm certification emerging as a method of regulating algorithms. Algorithm certification involves auditing whether the algorithm used during the life cycle 1) conforms to the protocoled requirements (e.g., for correctness, completeness, consistency, and accuracy); 2) satisfies the standards, practices, and conventions; and 3) solves the right problem (e.g., correctly model physical laws), and satisfies the intended use and user needs in the operational environment.[11]

Regulation of blockchain algorithms[edit]

Blockchain systems provide transparent and fixed records of transactions and hereby contradict the goal of the European GDPR, which is to give individuals full control of their private data.[44][45]

By implementing the Decree on Development of Digital Economy, Belarus has become the first-ever country to legalize smart contracts. Belarusian lawyer Denis Aleinikov is considered to be the author of a smart contract legal concept introduced by the decree.[46][47][48] There are strong arguments that the existing US state laws are already a sound basis for the smart contracts' enforceability — Arizona, Nevada, Ohio and Tennessee have amended their laws specifically to allow for the enforceability of blockchain-based contracts nevertheless.[49]

Regulation of Robots and Autonomous Algorithms[edit]

There have been proposals to regulate robots and autonomous algorithms. These include:

  • the South Korean Government’s proposal in 2007 of a Robot Ethics Charter;
  • a 2011 proposal from the U.K. Engineering and Physical Sciences Research Council of five ethical “principles for designers, builders, and users of robots”;
  • the Association for Computing Machinery’s seven principles for algorithmic transparency and accountability, published in 2017.[11]

In popular culture[edit]

In 1942, author Isaac Asimov addressed regulation of algorithms by introducing the fictional Three Laws of Robotics:

  1. A robot may not injure a human being or, through inaction, allow a human being to come to harm.
  2. A robot must obey the orders given it by human beings except where such orders would conflict with the First Law.
  3. A robot must protect its own existence as long as such protection does not conflict with the First or Second Laws.[50]

The main alternative to regulation is a ban, and the banning of algorithms is presently highly unlikely. However, in Frank Herbert's Dune universe, thinking machines is a collective term for artificial intelligence, which were completely destroyed and banned after a revolt known as the Butlerian Jihad:[51]

JIHAD, BUTLERIAN: (see also Great Revolt) — the crusade against computers, thinking machines, and conscious robots begun in 201 B.G. and concluded in 108 B.G. Its chief commandment remains in the O.C. Bible as "Thou shalt not make a machine in the likeness of a human mind."[52]

See also[edit]

References[edit]

  1. ^ "Algorithms have gotten out of control. It's time to regulate them". theweek.com. 3 April 2019. Retrieved 22 March 2020.
  2. ^ Martini, Mario. "FUNDAMENTALS OF A REGULATORY SYSTEM FOR ALGORITHM-BASED PROCESSES" (PDF). Retrieved 22 March 2020.
  3. ^ "Rise and Regulation of Algorithms". Berkeley Global Society. Retrieved 22 March 2020.
  4. ^ Law Library of Congress (U.S.). Global Legal Research Directorate, issuing body. Regulation of artificial intelligence in selected jurisdictions. OCLC 1110727808.
  5. ^ a b Wirtz, Bernd W.; Weyerer, Jan C.; Geyer, Carolin (2018-07-24). "Artificial Intelligence and the Public Sector—Applications and Challenges". International Journal of Public Administration. 42 (7): 596–615. doi:10.1080/01900692.2018.1498103. ISSN 0190-0692. S2CID 158829602.
  6. ^ Fitsilis, Fotios (2019). Imposing Regulation on Advanced Algorithms. Springer International Publishing. ISBN 978-3-030-27978-3.
  7. ^ Ganesh, Prakhar (30 June 2019). "High Frequency Trading (HFT) with AI : Simplified". Medium.
  8. ^ "Top Artificial Intelligence Algorithmic Trading Software Solutions For Serious ROI". HackerNoon.com. December 10, 2019. Retrieved 28 March 2020.
  9. ^ Consumer Financial Protection Bureau, §1002.9(b)(2)
  10. ^ Edwards, Lilian; Veale, Michael (2018). "Enslaving the Algorithm: From a 'Right to an Explanation' to a 'Right to Better Decisions'?" (PDF). IEEE Security & Privacy. 16 (3): 46–54. doi:10.1109/MSP.2018.2701152. S2CID 4049746. SSRN 3052831.
  11. ^ a b c Treleaven, Philip; Barnett, Jeremy; Koshiyama, Adriano (February 2019). "Algorithms: Law and Regulation". Computer. 52 (2): 32–40. doi:10.1109/MC.2018.2888774. ISSN 0018-9162.
  12. ^ Hao, Karen (January 21, 2019). "AI is sending people to jail—and getting it wrong". MIT Technology Review. Retrieved 2021-01-24.
  13. ^ Ledford, Heidi (2019-10-24). "Millions of black people affected by racial bias in health-care algorithms". Nature. 574 (7780): 608–609. Bibcode:2019Natur.574..608L. doi:10.1038/d41586-019-03228-6. PMID 31664201. S2CID 204943000.
  14. ^ Lufkin, Bryan (22 July 2019). "Algorithmic justice". BBC Worklife. Retrieved 31 December 2020.
  15. ^ a b Domonoske, Camila (July 17, 2017). "Elon Musk Warns Governors: Artificial Intelligence Poses 'Existential Risk'". NPR. Retrieved 27 November 2017.
  16. ^ a b Gibbs, Samuel (17 July 2017). "Elon Musk: regulate AI to combat 'existential threat' before it's too late". The Guardian. Retrieved 27 November 2017.
  17. ^ a b Kharpal, Arjun (7 November 2017). "A.I. is in its 'infancy' and it's too early to regulate it, Intel CEO Brian Krzanich says". CNBC. Retrieved 27 November 2017.
  18. ^ Kaplan, Andreas; Haenlein, Michael (2019). "Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence". Business Horizons. 62: 15–25. doi:10.1016/j.bushor.2018.08.004. S2CID 158433736.
  19. ^ Boyd, Matthew; Wilson, Nick (2017-11-01). "Rapid developments in Artificial Intelligence: how might the New Zealand government respond?". Policy Quarterly. 13 (4). doi:10.26686/pq.v13i4.4619. ISSN 2324-1101.
  20. ^ a b c White Paper: On Artificial Intelligence – A European approach to excellence and trust (PDF). Brussels: European Commission. 2020. p. 1.
  21. ^ a b Ezrachi, A.; Stucke, M. E. (13 March 2020). "Sustainable and unchallenged algorithmic tacit collusion". Northwestern Journal of Technology & Intellectual Property. 17 (2). ISSN 1549-8271.
  22. ^ VESTAGER, Margrethe (2017). "Algorithms and competition". European Commission. Archived from the original (Bundeskartellamt 18th Conference on Competition) on 2019-11-29. Retrieved 1 May 2021.
  23. ^ Simonite, Tom (February 7, 2020). "Europe Limits Government by Algorithm. The US, Not So Much". Wired. Retrieved 11 April 2020.
  24. ^ Haag, Rechtbank Den (6 March 2020). "ECLI:NL:RBDHA:2020:1878, Rechtbank Den Haag, C-09-550982-HA ZA 18-388 (English)". uitspraken.rechtspraak.nl (in Dutch). Retrieved 11 April 2020.
  25. ^ "Skewed Grading Algorithms Fuel Backlash Beyond the Classroom". Wired. Retrieved 26 September 2020.
  26. ^ Reuter, Markus (17 August 2020). "Fuck the Algorithm - Jugendproteste in Großbritannien gegen maschinelle Notenvergabe erfolgreich". netzpolitik.org (in German). Retrieved 3 October 2020.
  27. ^ a b Bredt, Stephan (2019-10-04). "Artificial Intelligence (AI) in the Financial Sector—Potential and Public Strategies". Frontiers in Artificial Intelligence. 2: 16. doi:10.3389/frai.2019.00016. ISSN 2624-8212. PMC 7861258. PMID 33733105.
  28. ^ Wirtz, Bernd W.; Müller, Wilhelm M. (2018-12-03). "An integrated artificial intelligence framework for public management". Public Management Review. 21 (7): 1076–1100. doi:10.1080/14719037.2018.1549268. ISSN 1471-9037. S2CID 158267709.
  29. ^ Iphofen, Ron; Kritikos, Mihalis (2019-01-03). "Regulating artificial intelligence and robotics: ethics by design in a digital society". Contemporary Social Science. 16 (2): 170–184. doi:10.1080/21582041.2018.1563803. ISSN 2158-2041. S2CID 59298502.
  30. ^ United States. Defense Innovation Board. AI principles : recommendations on the ethical use of artificial intelligence by the Department of Defense. OCLC 1126650738.
  31. ^ a b "Robots with Guns: The Rise of Autonomous Weapons Systems". Snopes.com. 21 April 2017. Retrieved 24 December 2017.
  32. ^ Bento, Lucas (2017). "No Mere Deodands: Human Responsibilities in the Use of Violent Intelligent Systems Under Public International Law". Harvard Scholarship Depository. Retrieved 2019-09-14.
  33. ^ MacCarthy, Mark (9 March 2020). "AI Needs More Regulation, Not Less". Brookings.
  34. ^ Van Loo, Rory (July 2018). "Technology Regulation by Default: Platforms, Privacy, and the CFPB". Georgetown Law Technology Review. 2 (1): 542–543.
  35. ^ "AI Update: White House Issues 10 Principles for Artificial Intelligence Regulation". Inside Tech Media. 2020-01-14. Retrieved 2020-03-25.
  36. ^ Memorandum for the Heads of Executive Departments and Agencies (PDF). Washington, D.C.: White House Office of Science and Technology Policy. 2020.
  37. ^ U.S. Leadership in AI: A Plan for Federal Engagement in Developing Technical Standards and Related Tools (PDF). National Institute of Science and Technology. 2019.
  38. ^ NSCAI Interim Report for Congress. The National Security Commission on Artificial Intelligence. 2019.
  39. ^ AI Principles: Recommendations on the Ethical Use of Artificial Intelligence by the Department of Defense (PDF). Washington, DC: Defense Innovation Board. 2020.
  40. ^ Goodman, Bryce; Flaxman, Seth (2017-10-02). "European Union Regulations on Algorithmic Decision-Making and a "Right to Explanation"". AI Magazine. 38 (3): 50–57. doi:10.1609/aimag.v38i3.2741. ISSN 2371-9621.
  41. ^ Baum, Seth (2018-09-30). "Countering Superintelligence Misinformation". Information. 9 (10): 244. doi:10.3390/info9100244. ISSN 2078-2489.
  42. ^ Stefanik, Elise M. (2018-05-22). "H.R.5356 – 115th Congress (2017–2018): National Security Commission Artificial Intelligence Act of 2018". www.congress.gov. Retrieved 2020-03-13.
  43. ^ "The Highway Code - Introduction - Guidance - GOV.UK". www.gov.uk. Retrieved 2022-11-30.
  44. ^ "A recent report issued by the Blockchain Association of Ireland has found there are many more questions than answers when it comes to GDPR". siliconrepublic.com. 23 November 2017. Archived from the original on 5 March 2018. Retrieved 5 March 2018.
  45. ^ "Blockchain and the General Data Protection Regulation - Think Tank". www.europarl.europa.eu (in German). Retrieved 28 March 2020.
  46. ^ Makhovsky, Andrei (December 22, 2017). "Belarus adopts crypto-currency law to woo foreign investors". Reuters.
  47. ^ "Belarus Enacts Unique Legal Framework for Crypto Economy Stakeholders" (PDF). Deloitte. December 27, 2017.
  48. ^ Patricolo, Claudia (December 26, 2017). "ICT Given Huge Boost in Belarus". Emerging Europe.
  49. ^ Levi, Stuart; Lipton, Alex; Vasile, Christina (2020). "Blockchain Laws and Regulations | 13 Legal issues surrounding the use of smart contracts | GLI". GLI - Global Legal InsightsInternational legal business solutions. Retrieved 21 April 2020.
  50. ^ Asimov, Isaac (1950). "Runaround". I, Robot (The Isaac Asimov Collection ed.). New York City: Doubleday. p. 40. ISBN 978-0-385-42304-5. This is an exact transcription of the laws. They also appear in the front of the book, and in both places there is no "to" in the 2nd law.
  51. ^ Herbert, Frank (1969). Dune Messiah.
  52. ^ Herbert, Frank (1965). "Terminology of the Imperium: JIHAD, BUTLERIAN". Dune. Philadelphia, Chilton Books.