The field of AI research is moving towards a more holistic understanding of AI systems and their interactions with humans. There is a growing recognition of the need to integrate physical and social dynamics in world models, as well as to prioritize trustworthiness and transparency in AI development. Researchers are exploring new approaches to AI governance, including the use of analogies from other fields, such as nuclear weapons, to inform policy development. The importance of human resilience and adaptability in the face of AI-driven change is also being emphasized. Notable papers in this area include 'World Models Should Prioritize the Unification of Physical and Social Dynamics', which argues for a more integrated approach to world modeling, and 'Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles', which highlights the need for a more holistic understanding of trustworthy AI systems. Additionally, 'Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directions' provides a comprehensive analysis of agentic AI systems and their potential applications.
Advancements in AI Governance and Trustworthiness
Sources
The Nuclear Analogy in AI Governance Research
World Models Should Prioritize the Unification of Physical and Social Dynamics
Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles
A quality of mercy is not trained: the imagined vs. the practiced in healthcare process-specialized AI development
Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
Will Humanity Be Rendered Obsolete by AI?
Education Paradigm Shift To Maintain Human Competitive Advantage Over AI
Are Agents Just Automata? On the Formal Equivalence Between Agentic AI and the Chomsky Hierarchy
AI & Data Competencies: Scaffolding holistic AI literacy in Higher Education
Efficiency Without Cognitive Change: Evidence from Human Interaction with Narrow AI Systems
Teaching Probabilistic Machine Learning in the Liberal Arts: Empowering Socially and Mathematically Informed AI Discourse
Human Resilience in the AI Era -- What Machines Can't Replace
Tackling the Algorithmic Control Crisis -- the Technical, Legal, and Ethical Challenges of Research into Algorithmic Agents
Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directions
Instrumental goals in advanced AI systems: Features to be managed and not failures to be eliminated?
Unambiguous Acceptance of Thin Coalgebras