Results 11 to 20 of about 47,548 (246)

A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity [PDF]

, 2018
We map the recently proposed notions of algorithmic fairness to economic models of Equality of opportunity (EOP)---an extensively studied ideal of fairness in political philosophy.
Gummadi, Krishna P., Heidari, Hoda, Krause, Andreas, Loi, Michele   +3 more
core   +1 more source

Accountable Artificial Intelligence: Holding Algorithms to Account [PDF]

Public Administration Review, 2020
AbstractArtificial intelligence (AI) algorithms govern in subtle yet fundamental ways the way we live and are transforming our societies. The promise of efficient, low‐cost, or “neutral” solutions harnessing the potential of big data has led public bodies to adopt algorithmic systems in the provision of public services.
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Algorithms: transparency and accountability [PDF]

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2018
This opinion piece explores the issues of accountability and transparency in relation to the growing use of machine learning algorithms. Citing the recent work of the Royal Society and the British Academy, it looks at the legal protections for individuals afforded by the EU General Data Protection Regulation and asks whether the legal system will be ...
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Understanding accountability in algorithmic supply chains

2023 ACM Conference on Fairness Accountability and Transparency, 2023
Academic and policy proposals on algorithmic accountability often seek to understand algorithmic systems in their socio-technical context, recognising that they are produced by ‘many hands’. Increasingly, however, algorithmic systems are also produced, deployed, and used within a supply chain comprising multiple actors tied together by flows of data ...
Jennifer Cobbe, Michael Veale, Jatinder Singh   +2 more
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What to account for when accounting for algorithms

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020
As research on algorithms and their impact proliferates, so do calls for scrutiny/accountability of algorithms. A systematic review of the work that has been done in the field of 'algorithmic accountability' has so far been lacking. This contribution puts forth such a systematic review, following the PRISMA statement.
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AI management an exploratory survey of the influence of GDPR and FAT principles [PDF]

, 2020
As organisations increasingly adopt AI technologies, a number of ethical issues arise. Much research focuses on algorithmic bias, but there are other important concerns arising from the new uses of data and the introduction of technologies which may ...
Addis, MC, Kutar, MS
core   +1 more source

Data analytics and algorithms in policing in England and Wales: Towards a new policy framework [PDF]

, 2020
RUSI was commissioned by the Centre for Data Ethics and Innovation (CDEI) to conduct an independent study into the use of data analytics by police forces in England and Wales, with a focus on algorithmic bias.
Babuta, Alexander, Oswald, Marion
core   +1 more source

POTs: Protective Optimization Technologies

, 2020
Algorithmic fairness aims to address the economic, moral, social, and political impact that digital systems have on populations through solutions that can be applied by service providers. Fairness frameworks do so, in part, by mapping these problems to a
Ah Muhammad, Akhtar Allana, Angwin Julia, Benner Katie, Biggio Battista, Bird Sarah, Browne Simone, Celis L. Elisa, Citron Danielle Keats, Corbett-Davies Sam, Dastin Jeffrey, Demontis Ambra, Donini Michele, dos Santos Cicero Nogueira, Eidelson Josh, Ensign Danielle, Fleurbaey Marc, Friedman Zack, Fu Zhenxin, Fulkerson Delbert Ray, Gangadharan Seeta Peña, Graehler Michael, Grand Julian Le, Green Ben, Gurses Seda, Hardt Moritz, Hinsliff Gaby, Israeli Eitan, Jackson Michael, Koh Pang Wei, Kunkle Fredrick, Lavigne Sam, Lum Kristian, Miettinen Kaisa, Miracle Veronica, O'Shea Bev, Overdorf Rebekah, Papernot Nicolas, Pasquale Frank, Phlips Louis, Pigou Arthur, Rosenblat Alex, Saadatpanah Parsa, Sainato Michael, Sen Amartya, Sen Amartya, Sharif Mahmood, Shkolnikova Svetlana, Starrett David A., Sweeney Sam, Taylor Keeanga-Yamahtta, Tseng Francis, Tufekci Zeynep, Vincent James, Yeung Karen, Yew-Kwang Ng, Zafar Muhammad Bilal   +56 more
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Algorithmic policing accountability: eight sociotechnical challenges

Policing and Society, 2023
Law enforcement agencies increasingly adopt algorithms for their policing practices, leading to new accountability challenges. However, academic literature tends to regard algorithmic applications as a single entity, resulting in broad and general statements on these risks.
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Algorithmic Accountability

, 2017
Accountability is fundamentally about checks and balances to power. In theory, both government and corporations are kept accountable through social, economic, and political mechanisms. Journalism and public advocates serve as an additional tool to hold powerful institutions and individuals accountable.
Alex Rosenblat, Tamara Kneese, danah boyd   +2 more
openaire   +2 more sources