Results 31 to 40 of about 1,762,290 (292)
The ``Who", ``What", and ``How" of Responsible AI Governance: A Systematic Review and Meta-Analysis of (Actor, Stage)-Specific Tools [PDF]
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
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
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
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
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
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
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?
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
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
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

