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{{Government by algorithm}}
{{Governance|Models}}
'''Government by algorithm'''<ref name=sstandford>{{cite web|author=<!--Not stated--> |title=Government by Algorithm: A Review and an Agenda |url=https://law.stanford.edu/publications/government-by-algorithm-a-review-and-an-agenda/ |website=Stanford Law School |access-date=20 March 2020}}</ref> (also known as '''algorithmic regulation''',<ref name=medina>{{cite journal |last1=Medina |first1=Eden |title=Rethinking algorithmic regulation. |journal=Kybernetes |date=2015 |volume=44 |issue=6/7 |pages=1005–1019 |doi=10.1108/K-02-2015-0052 |url=http://wosc.co/wp-content/uploads/2016/03/Medina-Rethinking-Algorithmic-Regulation.pdf}}</ref> '''regulation by algorithms''', '''algorithmic governance''',<ref name="Engin">{{cite journal |last1=Engin |first1=Zeynep |last2=Treleaven |first2=Philip |title=Algorithmic Government: Automating Public Services and Supporting Civil Servants in using Data Science Technologies |journal=The Computer Journal|date=March 2019 |volume=62 |issue=3 |pages=448–460 |doi=10.1093/comjnl/bxy082|doi-access=free}}</ref> '''algocratic governance''', '''algorithmic legal order''' or '''algocracy'''<ref>{{cite journal |last1=Danaher |first1=John |title=The Threat of Algocracy: Reality, Resistance and Accommodation |journal=Philosophy & Technology |date=1 September 2016 |volume=29 |issue=3 |pages=245–268 |doi=10.1007/s13347-015-0211-1 |s2cid=146674621 |url=https://link.springer.com/article/10.1007/s13347-015-0211-1 |access-date=26 January 2022 |issn=2210-5441}}</ref>) is an alternative form of [[government]] or [[social order]]ing where the usage of computer [[algorithm]]s is applied to regulations, law enforcement, and generally any aspect of everyday life such as transportation or land registration.<ref name="karen">{{cite journal |last1=Yeung |first1=Karen |title=Algorithmic regulation: A critical interrogation |journal=Regulation & Governance |date=December 2018 |volume=12 |issue=4 |pages=505–523 |doi=10.1111/rego.12158|s2cid=157086008 |doi-access=free }}</ref><ref>{{cite journal |last1=Katzenbach |first1=Christian |last2=Ulbricht |first2=Lena |title=Algorithmic governance |journal=Internet Policy Review |date=29 November 2019 |volume=8 |issue=4 |doi=10.14763/2019.4.1424 |hdl=10419/210652 |url=https://policyreview.info/concepts/algorithmic-governance |access-date=19 March 2020 |issn=2197-6775|doi-access=free}}</ref><ref>{{cite journal |last1=Abril |first1=Rubén Rodríguez |title=DERECOM. Derecho de la Comunicación. - An approach to the algorithmic legal order and to its civil, trade and financial projection |website=www.derecom.com |url=http://www.derecom.com/secciones/articulos-de-fondo/item/398-an-approach-to-the-algorithmic-legal-order-and-to-its-civil-trade-and-financial-projection |access-date=20 May 2020 |language=es-es}}</ref><ref>{{cite news |title=Rule by Algorithm? Big Data and the Threat of Algocracy |url=https://ieet.org/index.php/IEET2/more/danaher20140107 |access-date=20 May 2020 |work=ieet.org}}</ref><ref name=algocracyblockchain>{{citation |last1=Werbach |first1=Kevin |title=The Siren Song: Algorithmic Governance By Blockchain |date=24 September 2018 |publisher=Social Science Research Network |ssrn=3578610}}.</ref> The term "government by algorithm" has appeared in academic literature as an alternative for "algorithmic governance" in 2013.<ref>{{cite journal |last1=Williamson |first1=Ben |title=Decoding identity: Reprogramming pedagogic identities through algorithmic governance |journal=British Educational Research Association Conference |date=January 2013 |url=https://www.academia.edu/4477644 |access-date=26 December 2020}}</ref> A related term, algorithmic regulation, is defined as setting the standard, monitoring and modifying behaviour by means of computational algorithms{{snd}}automation of [[judiciary]] is in its scope.<ref>{{cite journal |last1=Hildebrandt |first1=Mireille |title=Algorithmic regulation and the rule of law |journal=Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |date=6 August 2018 |volume=376 |issue=2128 |pages=20170355 |doi=10.1098/rsta.2017.0355|pmid=30082301 |bibcode=2018RSPTA.37670355H |doi-access=free}}</ref> In the context of blockchain, it is also known as '''blockchain governance'''.<ref>{{cite journal |last1=Lumineau |first1=Fabrice |last2=Wang |first2=Wenqian |last3=Schilke |first3=Oliver |title=Blockchain Governance—A New Way of Organizing Collaborations? |journal=Organization Science |date=1 March 2021 |volume=32 |issue=2 |pages=500–521 |doi=10.1287/orsc.2020.1379 |s2cid=225123270 |issn=1047-7039|doi-access=free }}</ref>
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[[File:Legol Group 1977 (3832930465).jpg|thumb|LEGOL Group (1977)]]
[[File:-rpTEN - Tag 3 (26745091551).jpg|thumb|''"Blockchain and the future of governance. Let's overcome the hype and understand what can be done."'' with Andrea Bauer, Boris Moshkovits und Shermin Voshmgir at [[re:publica]]]]
In 1962, the director of the Institute for Information Transmission Problems of the [[Russian Academy of Sciences]] in Moscow (later Kharkevich Institute),<ref>{{cite web |title=Organisations: Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute): Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Moscow, Russia |url=http://www.mathnet.ru/php/organisation.phtml?orgid=5026&option_lang=eng |website=www.mathnet.ru |access-date=24 March 2021}}</ref> [[Aleksandr Aleksandrovich Kharkevich|Alexander Kharkevich]], published an article in the journal "Communist" about a computer network for processing information and control of the economy.<ref>{{cite web |title=Machine of communism. Why the USSR did not create the Internet |url=http://csef.ru/en/politica-i-geopolitica/223/mashiny-kommunizma-pochemu-v-sssr-tak-i-ne-sozdali-svoj-internet-6983 |website=csef.ru |access-date=21 March 2020 |language=ru}}</ref><ref>{{cite book |last1=Kharkevich |first1=Aleksandr Aleksandrovich|title=Theory of information. The identification of the images. Selected works in three volumes. Volume 3|date=1973|publisher=Moscow: Publishing House "Nauka", 1973. - Academy of Sciences of the USSR. Institute of information transmission problems|___location=Information and technology|pages=495–508}}</ref> In fact, he proposed to make a network like the modern Internet for the needs of algorithmic governance. This created a serious concern among CIA analysts.<ref name=cyberthreat>{{cite news |last1=Gerovitch |first1=Slava |title=How the Computer Got Its Revenge on the Soviet Union |url=https://nautil.us/issue/23/dominoes/how-the-computer-got-its-revenge-on-the-soviet-union |access-date=19 September 2021 |work=Nautilus |date=9 April 2015 |archive-date=22 September 2021 |archive-url=https://web.archive.org/web/20210922175839/https://nautil.us/issue/23/Dominoes/how-the-computer-got-its-revenge-on-the-soviet-union |url-status=dead }}</ref> In particular, [[Arthur M. Schlesinger Jr.]] warned that ''"by 1970 the USSR may have a radically new production technology, involving total enterprises or complexes of industries, managed by closed-loop, feedback control employing [[self-teaching computer]]s"''.<ref name=cyberthreat/>
Between 1971 and 1973, the [[Chile]]an government carried out [[Project Cybersyn]] during the [[presidency of Salvador Allende]]. This project was aimed at constructing a distributed [[decision support system]] to improve the management of the national economy.<ref>{{ cite web| url=http://newsinfo.iu.edu/web/page/normal/11088.html| title=IU professor analyzes Chile's 'Project Cybersyn'| publisher=UI News Room| access-date=27 May 2013| url-status=dead| archive-url=https://web.archive.org/web/20090910060602/http://newsinfo.iu.edu/web/page/normal/11088.html| archive-date=10 September 2009}}</ref><ref name=medina/> Elements of the project were used in 1972 to successfully overcome the traffic collapse caused by a [[Presidency of Salvador Allende#Crisis|CIA-sponsored strike of forty thousand truck drivers]].<ref>{{cite journal |last1=Medina |first1=Eden |title=Rethinking algorithmic regulation |journal=Kybernetes |date=1 January 2015 |volume=44 |issue=6/7 |pages=1005–1019 |doi=10.1108/K-02-2015-0052}}</ref>
Also in the 1960s and 1970s, [[Herbert A. Simon]] championed [[expert systems]] as tools for rationalization and evaluation of administrative behavior.<ref>{{cite web |last1=Freeman Engstrom |first1=David |last2=Ho |first2=Daniel E. |last3=Sharkey |first3=Catherine M. |last4=Cuéllar |first4=Mariano-Florentino |title=Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies |url=https://www-cdn.law.stanford.edu/wp-content/uploads/2020/02/ACUS-AI-Report.pdf |date=2020 |access-date=2020-03-26 |archive-date=2022-08-15 |archive-url=https://web.archive.org/web/20220815021400/https://www-cdn.law.stanford.edu/wp-content/uploads/2020/02/ACUS-AI-Report.pdf |url-status=dead }}</ref> The automation of rule-based processes was an ambition of tax agencies over many decades resulting in varying success.<ref>{{cite book |first1=Helen |last1=Margretts |author-link1=Helen_Margetts |title=Information technology in government : Britain and America |date=1999 |publisher=Routledge |___location=New York |isbn=9780203208038}}</ref> Early work from this period includes Thorne McCarty's influential TAXMAN project<ref name ="mccarty">McCarty, L. Thorne. ''Reflections on" Taxman: An Experiment in Artificial Intelligence and Legal Reasoning.'' Harvard Law Review (1977): 837–893.</ref> in the US and Ronald Stamper's [[LEGOL]] project<ref name="stamper77">Stamper, Ronald K. ''The LEGOL 1 prototype system and language.'' The Computer Journal 20.2 (1977): 102-108.</ref> in the UK. In 1993, the computer scientist [[Paul Cockshott]] from the [[University of Glasgow]] and the economist Allin Cottrell from the [[Wake Forest University]] published the book ''[[Towards a New Socialism]]'', where they claim to demonstrate the possibility of a democratically [[planned economy]] built on modern computer technology.<ref>{{cite book |last1=Cockshott |first1=W. Paul |title=Towards a new socialism |date=1993 |publisher=Spokesman |___location=Nottingham, England |isbn=978-0851245454}}</ref> The Honourable Justice [[Michael Kirby (judge)|Michael Kirby]] published a paper in 1998, where he expressed optimism that the then-available computer technologies such as [[legal expert system]] could evolve to computer systems, which will strongly affect the practice of courts.<ref>{{cite journal |last1=Kirby |first1=Michael |title=The Future of Courts - Do They Have One |url=https://heinonline.org/HOL/LandingPage?handle=hein.journals/jlinfos9&div=19&id=&page= |journal=Journal of Law and Information Science |access-date=12 April 2020 |pages=141 |date=1998|volume=9 }}</ref> In 2006, attorney [[Lawrence Lessig]], known for the slogan [[Code and Other Laws of Cyberspace|"Code is law"]], wrote:
Since the 2000s, algorithms have been designed and used to [[Closed-circuit television#Computer-controlled analytics and identification|automatically analyze surveillance videos]].<ref>{{cite journal |last1=Sodemann |first1=Angela A. |last2=Ross |first2=Matthew P. |last3=Borghetti |first3=Brett J. |title=A Review of Anomaly Detection in Automated Surveillance |journal=IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews|date=November 2012 |volume=42 |issue=6 |pages=1257–1272 |doi=10.1109/TSMCC.2012.2215319|s2cid=15466712}}</ref>
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In 2013, algorithmic regulation was coined by [[Tim O'Reilly]], founder and CEO of O'Reilly Media Inc.:
[...] Laws should specify goals, rights, outcomes, authorities, and limits. If specified broadly, those laws can stand the test of time. Regulations, which specify how to execute those laws in much more detail, should be regarded in much the same way that programmers regard their code and algorithms, that is, as a constantly updated toolset to achieve the outcomes specified in the laws. [...] It's time for government to enter the age of big data. Algorithmic regulation is an idea whose time has come.<ref name=timoreilly>{{cite book |last1=O’Reilly |first1=Tim |author-link1=Tim_O'Reilly |editor1-last=Goldstein |editor1-first=B. |editor2-last=Dyson |editor2-first=L. |title=Beyond Transparency: open Data and the Future of Civic Innovation |date=2013 |publisher=Code for America Press |___location=San Francisco |pages=289–300 |chapter=Open Data and Algorithmic Regulation}}</ref>▼
▲<blockquote>Sometimes the "rules" aren't really even rules. Gordon Bruce, the former CIO of the city of Honolulu, explained to me that when he entered government from the private sector and tried to make changes, he was told, "That's against the law." His reply was "OK. Show me the law." "Well, it isn't really a law. It's a regulation." "OK. Show me the regulation." "Well, it isn't really a regulation. It's a policy that was put in place by Mr. Somebody twenty years ago." "Great. We can change that!" [...] Laws should specify goals, rights, outcomes, authorities, and limits. If specified broadly, those laws can stand the test of time. Regulations, which specify how to execute those laws in much more detail, should be regarded in much the same way that programmers regard their code and algorithms, that is, as a constantly updated toolset to achieve the outcomes specified in the laws. [...] It's time for government to enter the age of big data. Algorithmic regulation is an idea whose time has come.<ref name=timoreilly>{{cite book |last1=O’Reilly |first1=Tim |author-link1=Tim_O'Reilly |editor1-last=Goldstein |editor1-first=B. |editor2-last=Dyson |editor2-first=L. |title=Beyond Transparency: open Data and the Future of Civic Innovation |date=2013 |publisher=Code for America Press |___location=San Francisco |pages=289–300 |chapter=Open Data and Algorithmic Regulation}}</ref></blockquote>
In 2017, Ukraine's [[Ministry of Justice (Ukraine)|Ministry of Justice]] ran experimental [[government auction]]s using [[blockchain]] technology to ensure transparency and hinder corruption in governmental transactions.<ref name=ukrainereuteers/> "Government by Algorithm?" was the central theme introduced at ''Data for Policy 2017'' conference held on 6–7 September 2017 in London, UK.<ref>{{cite web |title=Data for Policy 2017 |url=https://dataforpolicy.org/data-for-policy-2017/ |website=Data for Policy CIC |access-date=23 January 2021}}</ref>▼
▲In 2017, Ukraine's [[Ministry of Justice (Ukraine)|Ministry of Justice]] ran experimental [[government auction]]s using [[blockchain]] technology to ensure transparency and hinder corruption in governmental transactions.<ref name=ukrainereuteers/> "Government by Algorithm?" was the central theme introduced at
==Examples==
===Smart cities===
[[File:Architecture-of-the-IoT-for-home-care-systems.jpg|thumb|Architecture of the [[IoT]] for home care systems]]
A [[smart city]] is an urban area where collected surveillance data is used to improve various operations. Increase in computational power allows more automated decision making and replacement of public agencies by algorithmic governance.<ref>{{cite journal |last1=Brauneis |first1=Robert |last2=Goodman |first2=Ellen P. |title=Algorithmic Transparency for the Smart City |journal=Yale Journal of Law & Technology |date=1 January 2018 |volume=20 |issue=1 |pages=103 |url=https://www.questia.com/library/journal/1G1-544510684/algorithmic-transparency-for-the-smart-city}}</ref> In particular, the combined use of artificial intelligence and blockchains for [[Internet of things|IoT]] may lead to the creation of [[sustainable]] smart city ecosystems.<ref>{{cite journal |last1=Singh |first1=Saurabh |last2=Sharma |first2=Pradip Kumar |last3=Yoon |first3=Byungun |last4=Shojafar |first4=Mohammad |last5=Cho |first5=Gi Hwan |last6=Ra |first6=In-Ho |title=Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city |journal=Sustainable Cities and Society |date=1 December 2020 |volume=63 |pages=102364 |doi=10.1016/j.scs.2020.102364 |s2cid=225022879 |url=https://www.sciencedirect.com/science/article/abs/pii/S2210670720305850 |access-date=24 March 2021 |issn=2210-6707}}</ref> [[Intelligent street lighting]] in [[Glasgow]] is an example of successful government application of AI algorithms.<ref>{{cite news |last1=Gardner |first1=Allison |title=Don't write off government algorithms – responsible AI can produce real benefits |work=The Conversation |url=https://theconversation.com/dont-write-off-government-algorithms-responsible-ai-can-produce-real-benefits-145895 |access-date=1 April 2021}}</ref> A study of smart city initiatives in the US shows that it requires public sector as a main organizer and coordinator, the private sector as a technology and infrastructure provider, and universities as expertise contributors.<ref>{{cite book |last1=Morrow |first1=Garrett |title=The Robot in City Hall: The Limitations, Structure, and Governance of Smart City Technology Regimes|date=2022 |url=https://www.proquest.com/openview/6785af5e14f63d5e91d47b76337e4aec/1.pdf |via=ProQuest |language=en}}</ref>
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{{See also|Credit score}}
[[File:Model Cybernetic Factory.svg|thumb|Model of cybernetic thinking about organisation. On the one hand in reality a system is determined. On the other hand, cybernetic factory can be modeled as a control system.<ref>{{cite book |author=<!--Staff writer(s); no by-line.--> |title=Cybernetic and Management |date=1959 |publisher=English Universities Press |chapter=XVI}}</ref>]]
Tim O'Reilly suggested that data sources and [[reputation system]]s combined in algorithmic regulation can outperform traditional regulations.<ref name=timoreilly/> For instance, once taxi-drivers are rated by passengers, the quality of their services will improve automatically and "drivers who provide poor service are eliminated".<ref name=timoreilly/> O'Reilly's suggestion is based on [[control theory|control-theoreric]] concept of [[feedback|feed-back loop]]—[[positive feedback|improvements]] and [[negative feedback|disimprovements]] of reputation enforce desired behavior.<ref name=socialmachine/> The usage of feed-loops for the management of social systems is already been suggested in [[management cybernetics]] by [[Stafford Beer]] before.<ref>{{cite book |last1=Beer |first1=Stafford |author-link1=Stafford Beer |title=Platform for change : a message from Stafford Beer. |date=1975 |publisher=J. Wiley |isbn=978-0471948407}}</ref>
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{{See also|Artificial intelligence in government}}
[[File:Team Rubicon - Rockaways - Palantir screenshot.jpg|thumb|Team Rubicon in the Rockaways Nov 12, 2012 - Palantir screenshot]]
According to a study of [[Stanford University]], 45% of the studied US federal agencies have experimented with AI and related machine learning (ML) tools up to 2020.<ref name=sstandford/> US federal agencies counted the number of [[artificial intelligence]] applications, which are listed below.<ref name=sstandford/> 53% of these applications were produced by in-house experts.<ref name=sstandford/> Commercial providers of residual applications include [[Palantir Technologies]].<ref>{{cite news |title=Leaked Palantir Doc Reveals Uses, Specific Functions And Key Clients |url=https://techcrunch.com/2015/01/11/leaked-palantir-doc-reveals-uses-specific-functions-and-key-clients/ |access-date=22 April 2020 |work=TechCrunch}}</ref>
{| class="wikitable sortable"
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In the fight against money laundering, [[Financial Crimes Enforcement Network|FinCEN]] employs the FinCEN Artificial Intelligence System (FAIS) since 1995.<ref>{{cite journal |last1=Senator |first1=Ted E. |last2=Wong |first2=Raphael W.H. |last3=Marrone |first3=Michael P. |last4=Llamas |first4=Winston M. |last5=Klinger |first5=Christina D. |last6=Khan |first6=A.F. Umar |last7=Cottini |first7=Matthew A. |last8=Goldberg |first8=Henry G. |last9=Wooton |first9=Jerry |title=The FinCEN Artificial Intelligence System: Identifying Potential Money Laundering from Reports of Large Cash Transactions |journal=AAAI |url=https://www.aaai.org/Library/IAAI/1995/iaai95-015.php |access-date=10 September 2022}}</ref><ref>{{cite book |last1=Goldberg |first1=H. G. |last2=Senator |first2=T. E. |chapter=The FinCEN AI System: Finding Financial Crimes in a Large Database of Cash Transactions |title=Agent Technology: Foundations, Applications, and Markets |date=1998 |pages=283–302 |doi=10.1007/978-3-662-03678-5_15 |chapter-url=https://link.springer.com/chapter/10.1007/978-3-662-03678-5_15 |publisher=Springer |isbn=978-3-642-08344-0 |language=en}}</ref>
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{{See also|Digital contact tracing|Disease surveillance|COVID-19 apps}}
[[File:A schematic of app-based COVID-19 contact tracing (Fig. 4 from Ferretti et al. 2020).jpg|thumb|A schematic of app-based COVID-19 contact tracing<ref>{{cite journal |last1=Ferretti |first1=Luca |last2=Wymant |first2=Chris |last3=Kendall |first3=Michelle |last4=Zhao |first4=Lele |last5=Nurtay |first5=Anel |last6=Abeler-Dörner |first6=Lucie |last7=Parker |first7=Michael |last8=Bonsall |first8=David |last9=Fraser |first9=Christophe |title=Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing |journal=Science |date=8 May 2020 |volume=368 |issue=6491 |pages=eabb6936 |doi=10.1126/science.abb6936 |pmid=32234805 |pmc=7164555 |language=en |issn=0036-8075}}</ref>]]
In February 2020, China launched a [[mobile app]] to deal with the [[Coronavirus disease 2019|Coronavirus outbreak]]<ref>{{cite news |title=China launches coronavirus 'close contact' app |url=https://www.bbc.com/news/technology-51439401 |access-date=7 March 2020 |work=BBC News |date=11 February 2020}}</ref> called "close-contact-detector".<ref name="auto">{{cite web|url=https://www.scmp.com/tech/apps-social/article/3050054/china-launches-coronavirus-close-contact-detector-effort-reassure|title=China launches coronavirus 'close contact detector' platform|date=February 12, 2020|website=South China Morning Post}}</ref> Users are asked to enter their name and ID number. The app is able to detect "close contact" using surveillance data (i.e. using public transport records, including trains and flights)<ref name="auto"/> and therefore a potential risk of infection. Every user can also check the status of three other users. To make this inquiry users scan a Quick Response (QR) code on their smartphones using apps like [[Alipay]] or [[WeChat]].<ref>{{cite news|url=https://www.bbc.com/news/technology-51439401|title=China launches coronavirus 'close contact detector' app|work=BBC News |date=February 11, 2020}}</ref> The close contact detector can be accessed via popular mobile apps including Alipay. If a potential risk is detected, the app not only recommends self-quarantine, it also alerts local health officials.<ref>{{cite web |last1=Chen |first1=Angela |title=China's coronavirus app could have unintended consequences |website=MIT Technology Review |url=https://www.technologyreview.com/s/615199/coronavirus-china-app-close-contact-surveillance-covid-19-technology/ |access-date=7 March 2020}}</ref>
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===Benefits===
{{See also|Techno-progressivism}}
Algorithmic regulation is supposed to be a system of governance where more exact data, collected from citizens via their smart devices and computers, is used to more efficiently organize human life as a collective.<ref>{{cite web |last1=McCormick |first1=Tim |title=A brief exchange with Tim O'Reilly about "algorithmic regulation" {{!}} Tim McCormick |date=15 February 2014 |url=https://tjm.org/2014/02/15/a-brief-exchange-with-tim-oreilly-about-algorithmic-regulation/ |access-date=2 June 2020}}</ref><ref>{{cite news |title=Why the internet of things could destroy the welfare state |url=http://www.theguardian.com/technology/2014/jul/20/rise-of-data-death-of-politics-evgeny-morozov-algorithmic-regulation |access-date=2 June 2020 |work=The Guardian |date=19 July 2014}}</ref> As [[Deloitte]] estimated in 2017, automation of US government work could save 96.7 million federal hours annually, with a potential savings of $3.3 billion; at the high end, this rises to 1.2 billion hours and potential annual savings of $41.1 billion.<ref>{{cite web |last1=Eggers |first1=illiam D. |last2=Schatsky |first2=David |last3=Viechnick |first3=Peter |title=Demystifying artificial intelligence in government |website=Deloitte Insights |url=https://www2.deloitte.com/us/en/insights/focus/cognitive-technologies/artificial-intelligence-government.html |access-date=4 April 2020}}</ref>
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====Algorithmic bias and transparency====
{{Main|Algorithmic bias}}
An initial approach towards transparency included the [[Open-source software|open-sourcing of algorithms]].<ref>{{cite book|last=Heald|first=David|title=Transparency: The Key to Better Governance?|date=2006-09-07|publisher=British Academy|isbn=978-0-19-726383-9|doi=10.5871/bacad/9780197263839.003.0002}}</ref> Software code can be looked into and improvements can be proposed through [[Comparison of source-code-hosting facilities|source-code-hosting facilities]].
===Public acceptance===
A 2019 poll conducted by [[IE University]]'s Center for the Governance of Change in Spain found that 25% of citizens from selected European countries were somewhat or totally in favor of letting an artificial intelligence make important decisions about how their country is run.<ref>{{cite web |title=European Tech Insights (2019) {{!}} IE CGC |website=Center for the Governance of Change |access-date=11 April 2020 |url=https://docs.ie.edu/cgc/European-Tech-Insights-2019.pdf}}</ref> The following table lists the results by country:
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Researchers found some evidence that when citizens perceive their political leaders or security providers to be untrustworthy, disappointing, or immoral, they prefer to replace them by artificial agents, whom they consider to be more reliable.<ref>{{cite journal |last1=Spatola |first1=Nicolas |last2=Macdorman |first2=Karl F. |title=Why Real Citizens Would Turn to Artificial Leaders |journal=Digital Government: Research and Practice |date=11 July 2021 |volume=2 |issue=3 |pages=26:1–26:24 |doi=10.1145/3447954 |issn=2691-199X|doi-access=free }}</ref> The evidence is established by survey experiments on university students of all genders.
==In popular culture==
The novels [[Daemon (novel series)|''Daemon'']] and ''[[Freedom™]]'' by [[Daniel Suarez (author)|Daniel Suarez]] describe a fictional scenario of global algorithmic regulation.<ref>{{cite news |last1=Rieger |first1=Frank |title=Understanding the Daemon |url=https://www.faz.net/aktuell/feuilleton/medien/english-version-understanding-the-daemon-1621404.html |access-date=5 April 2020 |work=FAZ.NET |language=de}}</ref> [[Matthew De Abaitua]]'s ''If Then'' imagines an algorithm supposedly based on "fairness" recreating a premodern rural economy.<ref>Stainforth, Elizabeth and Jo Lindsay Walton. "Computing Utopia: The Horizons of Computational Economies in History and Science Fiction." Science Fiction Studies, vol. 46 no. 3, 2019, p. 471-489. Project MUSE, doi:10.1353/sfs.2019.0084.</ref>
==See also==
{{div col|colwidth=20em}}
* [[Anti-corruption]]
* [[Civic technology]]
* [[Code for America]]
* [[Cyberpunk]]
* [[
* [[Digital
* [[Digital Nations]]
* [[Distributed ledger technology law]] * [[Dutch childcare benefits scandal]]
* [[ERulemaking]]
* [[Lawbot]]
* [[Legal informatics]]
* [[Management cybernetics]]
* [[Multivac]]
* [[Predictive analytics]]
* [[Sharing economy]]
* [[Smart contract]]
* [[Technoutopianism]]
{{div col end}}
==
{{Reflist}}
== General and cited references ==
* {{Cite book |last=Lessig |first=Lawrence |year=2006 |title=Code: Version 2.0 |url=https://lessig.org/product/codev2 |___location=New York |publisher=Basic Books |isbn=978-0-465-03914-2 |oclc=133467669}} Wikipedia article: ''[[Code: Version 2.0]]''.
* {{Cite
* {{Cite
* {{
== External links ==
{{Wiktionary|algocracy}}
* [https://dataforpolicy.org/data-for-policy-2017/ Government by Algorithm?] by Data for Policy 2017 Conference
* [https://www-cdn.law.stanford.edu/wp-content/uploads/2020/02/ACUS-AI-Report.pdf Government by Algorithm] {{Webarchive|url=https://web.archive.org/web/20220815021400/https://www-cdn.law.stanford.edu/wp-content/uploads/2020/02/ACUS-AI-Report.pdf |date=2022-08-15 }} by [[Stanford University]]
* [https://www.europarl.europa.eu/RegData/etudes/STUD/2019/624262/EPRS_STU(2019)624262_EN.pdf A governance framework for algorithmic accountability and transparency] by [[European Parliament]]
* [https://academic.oup.com/comjnl/article/62/3/448/5070384 Algorithmic Government] by Zeynep Engin and Philip Treleaven, [[University College London]]
* [https://www.youtube.com/watch?v=Fsz6Zw1BkTg Algorithmic Government] by Prof. Philip C. Treleaven of [[University College London]]
* [https://ash.harvard.edu/files/ash/files/artificial_intelligence_for_citizen_services.pdf Artificial Intelligence for Citizen Services and Government] by Hila Mehr of [[Harvard University]]
* [https://eticasfoundation.org/oasi/register/ The OASI Register], algorithms with social impact
* [https://www.imdb.com/title/tt11279794/?ref_=nm_flmg_dr_1 ''iHuman''] (Documentary, 2019) by [[Tonje Hessen Schei]]
* [https://motivatingspeech.com/how-blockchain-can-transform-india-jaspreet-bindra/ How Blockchain can transform India: Jaspreet Bindra] {{Webarchive|url=https://web.archive.org/web/20210628064819/https://motivatingspeech.com/how-blockchain-can-transform-india-jaspreet-bindra/ |date=2021-06-28 }}
* [https://www.youtube.com/watch?v=Sr2ga3BBMTc Can An AI Design Our Tax Policy?]
* [https://www.tandfonline.com/doi/full/10.1080/09540962.2020.1821514/ New development: Blockchain—a revolutionary tool for the public sector], An introduction on the Blockchain's usage in the public sector by Vasileios Yfantis
* [https://www.ted.com/talks/cesar_hidalgo_a_bold_idea_to_replace_politicians A bold idea to replace politicians]
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