Results 21 to 30 of about 200,089 (297)
Responsible AI in Healthcare: Best Practices to Improve Healthcare Delivery
Blockchain in Healthcare Today, 2022 A candid discussion that dives into the recesses of AI and ethics including topics such as what lessons can be used in healthcare from tech players implementing responsible AI and unbiased systems, how can responsible AI help build a clinical support ...
Prasad Kothari, Director, Axtria Health +3 more
doaj +1 more source
mit-ll-responsible-ai/hydra-zen: Release v0.10.0
, 2023 What's Changed Bump sphinx-codeautolink from 0.13.0 to 0.13.1 in /docs by @dependabot in https://github.com/mit-ll-responsible-ai/hydra-zen/pull/391 Bump pyright from 1.1.288 to 1.1.289 in /deps by @dependabot in https://github.com/mit-ll-responsible-ai/
Ryan Soklaski +2 more
core +1 more source
mit-ll-responsible-ai/hydra-zen: Release hydra-zen v0.4.0rc1
, 2021 See changelog What's Changed Fix docstring typo by @rsokl in https://github.com/mit-ll-responsible-ai/hydra-zen/pull/164 Add strict validation against Hydra's supported primitives by @rsokl in https://github.com/mit-ll-responsible-ai/hydra-zen/pull/163
Ryan Soklaski +2 more
core +1 more source
mit-ll-responsible-ai/hydra-zen: Release hydra-zen v0.3.0rc5
, 2021 Fixes compatibility-breaking change present in v0.3.0r4: https://github.com/mit-ll-responsible-ai/hydra-zen/pull ...
Ryan Soklaski, jgbos, Lou Bellaire
core +1 more source
Unravelling responsibility for AI
Journal of Responsible TechnologyIt is widely acknowledged that we need to establish where responsibility lies for the outputs and impacts of AI-enabled systems. This is important to achieve justice and compensation for victims of AI harms, and to inform policy and engineering practice.
Porter, Zoe +7 more
openaire +6 more sources
Responsible AI literacy: A stakeholder-first approach
Big Data & Society, 2023 The need for citizens to better understand the ethical and social challenges of algorithmic systems has led to a rapid proliferation of AI literacy initiatives.
Daniel Domínguez Figaredo +1 more
doaj +1 more source
Creating AI Art Responsibly: A Field Guide for Artists
Diseña, 2021 Machine learning tools for generating synthetic media enable creative expression, but they can also result in content that misleads and causes harm. The Responsible AI Art Field Guide offers a starting point for designers, artists, and other makers on ...
Claire Leibowicz +2 more
doaj +5 more sources
Are certain African ethical values at risk from artificial intelligence?
Data & PolicyThis 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
Human–machine collaboration for enhanced decision-making in governance
Data & PolicyA detailed exploration is presented of the integration of human–machine collaboration in governance and policy decision-making, against the backdrop of increasing reliance on artificial intelligence (AI) and automation.
Dirk Van Rooy
doaj +1 more source
Responsible AI: The Good, The Bad, The AI
CoRRThe rapid proliferation of artificial intelligence across organizational contexts has generated profound strategic opportunities while introducing significant ethical and operational risks. Despite growing scholarly attention to responsible AI, extant literature remains fragmented and is often adopting either an optimistic stance emphasizing value ...
Akbar Anbar Jafari +2 more
openaire +2 more sources