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==Criticism==
The are potential risks associated with the use of algorithms in government. Those include [[Algorithmic bias|algorithms becoming susceptible to bias]],<ref name=":1">{{Cite web|url=https://ash.harvard.edu/files/ash/files/artificial_intelligence_for_citizen_services.pdf|title=Artificial Intelligence for Citizen Services and Government|last=Mehr|first=Hila|date=August 2017|website=ash.harvard.edu|access-date=2018-12-31}}</ref> a lack of transparency in how an algorithm may make decisions,<ref name=":6">{{Cite web|url=https://www.capgemini.com/consulting/wp-content/uploads/sites/30/2017/10/ai-in-public-sector.pdf|title=Unleashing the potential of Artificial Intelligence in the Public Sector|last=Capgemini Consulting|date=2017|website=www.capgemini.com|access-date=2018-12-31}}</ref> and the accountability for any such decisions.<ref name=":6" /> There is also a serious concern that [[gaming the system|gaming]] by the regulated parties might occur, once more [[Right_to_explanation|transparency is brought into the decision making by algorithmic governance]], regulated parties might try to manipulate their outcome in own favor and even use [[adversarial machine learning]].<ref name=sstandford/> According to [[Yuval Noah Harari|Harari]], the conflict between democracy and dictatorship is seen as a conflict of two different data-processing systems — AI and algorithms may swing the advantage toward the latter by processing enormous amounts of information centrally.<ref>{{cite news |last1=Harari |first1=Story by Yuval Noah |title=Why Technology Favors Tyranny |url=https://www.theatlantic.com/magazine/archive/2018/10/yuval-noah-harari-technology-tyranny/568330/ |accessdate=11 April 2020 |work=The Atlantic}}</ref>
==Regulation of algorithmic governance==
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