AI governance: a systematic literature review
Commonwealth Scientific and Industrial Research Organisation · Data61
Abstract
Abstract 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. Various AI governance frameworks have been released recently by governments, organizations, and companies to mitigate risks associated with AI. However, it can be challenging for AI stakeholders to have a clear picture of the available AI governance frameworks, tools, or models and analyze the most suitable one for their AI system. To fill the gap, we present the literature to answer key questions: WHO is accountable for AI systems’ governance, WHAT elements are being governed, WHEN governance occurs within the AI…
Citation impact
- FWCI
- 217.28
- Percentile
- 100%
- References
- 31
Authors
3Topics & keywords
- Corporate governance
- Systematic review
- Political science
- Business
- MEDLINE
- Finance
- Law