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The ``Who", ``What", and ``How" of Responsible AI Governance: A Systematic Review and Meta-Analysis of (Actor, Stage)-Specific Tools [PDF]

open access: yesConference on Fairness, Accountability and Transparency
The implementation of responsible Artificial Intelligence (AI) in an organization is inherently complex due to the involvement of multiple stakeholders, each with their unique set of goals and responsibilities across the entire AI lifecycle.
Blaine Kuehnert   +3 more
semanticscholar   +1 more source

On Regulating Downstream AI Developers

open access: yesEuropean Journal of Risk Regulation
Foundation models – models trained on broad data that can be adapted to a wide range of downstream tasks – can pose significant risks, ranging from intimate image abuse, cyberattacks, to bioterrorism.
Sophie Williams   +2 more
doaj   +1 more source

AI governance: a systematic literature review

open access: yesAI and Ethics
As artificial intelligence (AI) transforms a wide range of sectors and drives innovation, it also introduces different types of risks that should be identified, assessed, and mitigated.
Amna Batool, Didar Zowghi, Muneera Bano
semanticscholar   +1 more source

Advancing AI Audits for Enhanced AI Governance

open access: yesCoRR, 2023
As artificial intelligence (AI) is integrated into various services and systems in society, many companies and organizations have proposed AI principles, policies, and made the related commitments. Conversely, some have proposed the need for independent audits, arguing that the voluntary principles adopted by the developers and providers of AI services
Arisa Ema   +5 more
openaire   +2 more sources

Ethics of AI in Africa: Interrogating the role of Ubuntu and AI governance initiatives

open access: yesEthics and Information Technology
One of the common concerns raised in AI ethics scholarship is the overly western-centric nature of ongoing AI ethics discourse and governance initiatives. This has recently prompted many commentators to proclaim the emergence of an epistemic injustice or
K. Yilma
semanticscholar   +1 more source

Ethical Implications of Artificial Intelligence in Population Health and the Public’s Role in Its Governance: Perspectives From a Citizen and Expert Panel

open access: yesJournal of Medical Internet Research, 2023
BackgroundArtificial intelligence (AI) systems are widely used in the health care sector. Mainly applied for individualized care, AI is increasingly aimed at population health. This raises important ethical considerations but also
Vincent Couture   +4 more
doaj   +1 more source

Libel via Language Models

open access: yesOsgoode Hall Law Journal
This article explains how developers and users of large language models (LMs) may be treated by English and Canadian libel law. LMs could be economically significant, and the liability environment they exist in will affect where they are developed, who ...
Peter Wills
doaj   +1 more source

Are certain African ethical values at risk from artificial intelligence?

open access: yesData & Policy
This paper questions how the drive toward introducing artificial intelligence (AI) in all facets of life might endanger certain African ethical values. It argues in the affirmative that indeed two primary values that are prized in nearly all versions of ...
Samuel Segun
doaj   +1 more source

Implementations of Artificial Intelligence in Various Domains of IT Governance: A Systematic Literature Review

open access: yesJournal of Information Systems Engineering and Business Intelligence, 2023
Background: Artificial intelligence (AI) has become increasingly prevalent in various industries, including IT governance. By integrating AI into the governance environment, organizations can benefit from the consolidation of frameworks and best ...
Eva Hariyanti   +8 more
doaj   +1 more source

Dynamic Global–Local Selection Network for Hyperspectral Image Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The newly introduced Mamba architecture exhibits superior performance in the hyperspectral image (HSI) classification domain, as it achieves long-range dependence modeling with linear complexity and is widely regarded as a promising alternative to the ...
Zhe Meng   +5 more
doaj   +1 more source

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