The Challenges of Balancing AI Compliance and Technological Innovations in Critical Sectors: A Systematic Literature Review
arXiv:2606.12423v1 Announce Type: cross Abstract: The rapid integration of artificial intelligence (AI) into critical infrastructure including healthcare, finance, energy, and defense, offers transformative benefits but also conflicts with evolving regulatory and governance frameworks. This paper presents a systematic literature review (SLR) to examine the challenges of balancing AI compliance and technological innovation across critical infrastructure sectors. The review follows established SLR guidelines to extract and synthesize insights from peer-reviewed articles, report, and institutiona
The proliferation of AI into critical infrastructure necessitates clearer regulatory frameworks, as the technology's rapid advancement outpaces existing governance leading to this systematic review.
This paper highlights the growing tension between AI innovation and compliance, which will shape future regulatory landscapes and the operational deployment of AI in sensitive sectors.
The explicit identification of challenges in balancing AI compliance and innovation underscores the increasing need for integrated governance and technological development strategies.
- · AI governance experts
- · Compliance software providers
- · Critical infrastructure operators adopting AI safely
- · AI developers ignoring regulatory frameworks
- · Sectors with poor AI risk management
- · Rapid, unregulated AI deployment initiatives
Increased scrutiny and demand for robust AI regulatory frameworks across critical sectors.
Development of specialized AI compliance tools and services to Bridge the gap between innovation and regulation.
Potential for 'AI-safe' zones or sandboxes to accelerate innovation within controlled regulatory environments.
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Read at arXiv cs.AI