Results 11 to 20 of about 792 (209)
Data & Policy, 2023 Several governmental organizations all over the world aim for algorithmic accountability of artificial intelligence systems. However, there are few specific proposals on how exactly to achieve it.
Marc P. Hauer +2 more
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Ethical machines: The human-centric use of artificial intelligence
iScience, 2021 Summary: Today's increased availability of large amounts of human behavioral data and advances in artificial intelligence (AI) are contributing to a growing reliance on algorithms to make consequential decisions for humans, including those related to ...
Bruno Lepri, Nuria Oliver, Alex Pentland
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Machine learning in medicine: Addressing ethical challenges. [PDF]
PLoS Medicine, 2018 Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, and accountability to earn the trust of patients and clinicians.
Effy Vayena +2 more
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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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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 +2 more
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Algorithmic management in a work context
Big Data & Society, 2021 The rapid development of machine-learning algorithms, which underpin contemporary artificial intelligence systems, has created new opportunities for the automation of work processes and management functions. While algorithmic management has been observed
Mohammad Hossein Jarrahi +5 more
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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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Accounting for Model Uncertainty in Algorithmic Discrimination [PDF]
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021 12 pages, Accepted at AIES ...
Junaid Ali 0001 +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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Algorithmic Justice in South Africa: Safeguarding Human Rights in AI-Driven Legal Systems [PDF]
E-Journal of Humanities, Arts and Social SciencesThis paper investigated the intersection between emerging algorithmic technologies and the enforcement of human rights within South Africa’s legal system.
Bulelani Thukuse, Paul S. Masumbe
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