Permanent record · RIR–3006
Developing Robust Governance Frameworks for Artificial Intelligence Integration in Public Sector Decision Making
This study examines the intersection of artificial intelligence and governance structures within public administration. It proposes investigating how regulatory frameworks can be adapted to manage the rapid deployment of AI technologies.
How can public sector governance frameworks be redesigned to effectively manage the integration of artificial intelligence?
Knowledge gap
What remains worth asking
The source suggests that existing governance models may be insufficient for the unique challenges posed by AI-driven decision-making.
Potential contribution
Why it may matter
Effective governance is essential for ensuring that AI deployment aligns with public interest and ethical standards.
Academic placement
OECD fields and topic tags
Scope: National government agencies and regulatory bodies. · Method signals: Comparative policy analysis, Expert interviews
Possible study pathways
One question, different levels
Policy implementation and AI oversight
Theoretical development of algorithmic governance
Qualification signal
82/100
- Focus on policy agility
- Consider cross-jurisdictional comparisons
- Open-access scholarly source and DOI metadata verified
Provenance
Research Idea Registry curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
APA 7 source
Sharma, G. D., Yadav, A., & Chopra, R. (2020). Artificial intelligence and effective governance: A review, critique and research agenda. Sustainable Futures, 2, 100004. https://doi.org/10.1016/j.sftr.2019.100004
Paper abstract and discussion context; AI-inferred direction
Open source ↗