Trustworthy artificial intelligence: design of AI governance framework/ Sanur Sharma
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TextPublication details: 2023Subject(s): Online resources:
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Strategic analysis, Volume 47, Number 5, September-October 2023, page: 443-464Summary: This article presents the various challenges in the current system of AI governance and the correlation between data, algorithm, technology, governance, and geopolitics surrounding its successful implementation. The focal point of the article is the Adaptive-Hybrid AI Governance framework based on technical, ethical, and societal regulatory mechanisms that models trustworthy AI and the risks associated with it. The article highlights the need for trustworthy AI and how major countries are shaping their AI regulatory mechanisms. It presents a case study on AI governance in defence that elucidates ethical AI governance through various use cases.
| Item type | Current library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
| Journal Article | Mindef Library & Info Centre Journals | ARTIFICIAL INTELLIGENCE (Browse shelf(Opens below)) | Not for loan |
This article presents the various challenges in the current system of AI governance and the correlation between data, algorithm, technology, governance, and geopolitics surrounding its successful implementation. The focal point of the article is the Adaptive-Hybrid AI Governance framework based on technical, ethical, and societal regulatory mechanisms that models trustworthy AI and the risks associated with it. The article highlights the need for trustworthy AI and how major countries are shaping their AI regulatory mechanisms. It presents a case study on AI governance in defence that elucidates ethical AI governance through various use cases.
ARTIFICIAL INTELLIGENCE, ETHICAL AI, AUTOMATION BIAS, NEWARTICLS
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