SaaS Metrics
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 development life cycle, and HOW it is implemented through frameworks, tools, policies, or models. Adopting the systematic literature review (SLR) methodology, this study meticulously searched, selected, and analyzed 28 articles, offering a foundation for understanding different facets of AI governance. The analysis is further enhanced by categorizing artifacts of AI governance under team-level governance, organization-level governance, industry-level governance, national-level governance, and international-level governance. The findings of this study on existing AI governance solutions can assist research communities in proposing comprehensive AI governance practices.
Academic Publication AI governance: a systematic literature review
Research Abstract & Technology Focus
AI Semantic Synergy Context
Connecting this academic literature to real-world market discussions and products.
AI governance: a systematic literature review
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,...
Responsible artificial intelligence governance: A review and research framework
No description provided.
Ai-token-monitor
The AI market is rapidly maturing, emphasizing governance, cost optimization, and security, with companies developing AI-native PaaS and sovereign AI infrastructure. A critical trend involves build...
A systematic review of literature reviews on artificial intelligence in education (AIED): a roadmap to a future research agenda
AbstractDespite the increased adoption of Artificial Intelligence in Education (AIED), several concerns are still associated with it. This has motivated researchers to conduct (systematic) reviews ...
Pretraining
The AI development landscape is characterized by ongoing architectural innovations like Recurrent Looped Transformers and novel learning methodologies, alongside increasing regulatory scrutiny rega...
Frequently Asked Questions (FAQ)
Curated market intelligence mapped to this research.
What is the core focus of the research titled 'AI governance: a systematic literature review'?
This literature focuses on: 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 h...
Are there open-source GitHub repositories related to AI governance: a systematic literature review?
Yes, open-source projects like kyegomez/OpenMythos (A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.) are actively building upon these concepts.
What other academic literature is closely related to 'AI governance: a systematic literature review'?
Yes, highly correlated activity was mapped. An entry titled 'AI governance: a systematic literature review' discusses this: Abstract As artificial intelligence (AI) transforms a wide range of sectors and drives innovation, it also introduces different t...
Are there commercial applications of 'AI governance: a systematic literature review' in market news publications?
Yes, highly correlated activity was mapped. An entry titled 'Ai-token-monitor' discusses this: The AI market is rapidly maturing, emphasizing governance, cost optimization, and security, with companies developing AI-native PaaS and sovereign ...
Cite this Market Intelligence Report
Reference our AI-mapped synergy between this research and the commercial market to instantly build authority.
Commercial Realization
Startups and Open Source tools heavily associated with the concepts explored in this paper.
-
GitHubkyegomez/OpenMythos
-
GitHubOpenWAM-Official/OpenWAM