Government by algorithm: Difference between revisions

Revision as of 10:06, 28 April 2025

Revision as of 10:10, 28 April 2025

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===Criticism===

There are potential risks associated with the use of algorithms in government. Those include:

There 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" /> According to a 2016's book [[Weapons of Math Destruction]], algorithms and [[big data]] are suspected to increase inequality due to opacity, scale and damage.<ref>{{cite journal |last1=Verma |first1=Shikha |title=Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy |journal=Vikalpa: The Journal for Decision Makers |date=June 2019 |volume=44 |issue=2 |pages=97–98 |doi=10.1177/0256090919853933 |s2cid=198779932 |issn=0256-0909|doi-access=free }}</ref>

* [[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" />

According to a 2016's book [[Weapons of Math Destruction]], algorithms and [[big data]] are suspected to increase inequality due to opacity, scale and damage.<ref>{{cite journal |last1=Verma |first1=Shikha |title=Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy |journal=Vikalpa: The Journal for Decision Makers |date=June 2019 |volume=44 |issue=2 |pages=97–98 |doi=10.1177/0256090919853933 |s2cid=198779932 |issn=0256-0909|doi-access=free }}</ref>

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/><ref name=socialmachine/> 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/ |access-date=11 April 2020 |work=The Atlantic}}</ref>