AI Horizon Scanning, White Paper p3395, IEEE-SA. Part I: Areas of Attention
Marina Cort\^es, Andrew R. Liddle, Christos Emmanouilidis, Anthony E., Kelly, Ken Matusow, Ragu Ragunathan, Jayne M. Suess, George Tambouratzis,, Janusz Zalewski, and David A. Bray

TL;DR
This white paper identifies key areas of attention for AI standards development, emphasizing societal impacts, safety, accountability, and infrastructure stability amidst rapid AI advancements.
Contribution
It provides an initial horizon scan highlighting critical focus areas for AI standards, including safety, regulation, and infrastructure resilience, informing future standardization efforts.
Findings
AI models pose societal risks requiring careful regulation.
Potential overdependence on cloud computing may threaten infrastructure stability.
Recent incidents illustrate the importance of safeguards for critical AI applications.
Abstract
Generative Artificial Intelligence (AI) models may carry societal transformation to an extent demanding a delicate balance between opportunity and risk. This manuscript is the first of a series of White Papers informing the development of IEEE-SA's p3995: `Standard for the Implementation of Safeguards, Controls, and Preventive Techniques for Artificial Intelligence (AI) Models', Chair: Marina Cort\^{e}s (https://standards.ieee.org/ieee/3395/11378/). In this first horizon-scanning we identify key attention areas for standards activities in AI. We examine different principles for regulatory efforts, and review notions of accountability, privacy, data rights and mis-use. As a safeguards standard we devote significant attention to the stability of global infrastructures and consider a possible overdependence on cloud computing that may result from densely coupled AI components. We review…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
MethodsSoftmax · Attention Is All You Need · Sparse Evolutionary Training · Focus
