Permanent record
RIR-3006 · Logged 13 July 2026
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.
In plain words
Government departments are starting to use artificial intelligence to help make decisions. How should the rules and oversight around those decisions be redesigned so that AI serves the public interest and meets ethical standards?
Primary research question
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
Academic fields and topic tags
Study frame: National government agencies and regulatory bodies. · Method signals: Comparative policy analysis, Expert interviews
Possible study pathways
One question, different levels
Postgraduate diploma
Policy implementation and AI oversight
Doctoral
Theoretical development of algorithmic governance
- originality
- Moderate
- methodology
- Moderate
- Data access
- Accessible
- ethics
- Moderate
Quality and audit
82/100 quality
Safeguard-based audit was not recorded under the prior standard.
- Focus on policy agility
- Consider cross-jurisdictional comparisons
- Open-access scholarly source and DOI metadata verified
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Research Idea curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.
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
This is an AI-inferred direction. The source authors did not state it as a recommendation.
Open source ↗