Advancements in AI Research and Governance

The field of artificial intelligence is witnessing significant developments, with a growing focus on governance, safety, and human-centric design. Recent studies have explored the strategic alignment of national AI policies, highlighting the need for a more coherent approach to technological governance. Furthermore, there is a increasing emphasis on developing formal theories of measurement for AI, which will enable more accurate comparisons between systems and evaluation methods. The concept of jolting technologies, which refers to superexponential growth in AI capabilities, is also being investigated, with implications for the emergence of AGI. Noteworthy papers in this area include 'Strategic Alignment Patterns in National AI Policies', which introduces a novel visual mapping methodology for assessing strategic alignment in national AI policies, and 'Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI', which explores the potential implications of superexponential growth in AI capabilities.

Sources

Hungary and AI: efforts and opportunities in comparison with Singapore

Strategic Alignment Patterns in National AI Policies

Towards Measurement Theory for Artificial Intelligence

Exploring Collaboration Patterns and Strategies in Human-AI Co-creation through the Lens of Agency: A Scoping Review of the Top-tier HCI Literature

Evaluating the Critical Risks of Amazon's Nova Premier under the Frontier Model Safety Framework

A Collectivist, Economic Perspective on AI

Domestic frontier AI regulation, an IAEA for AI, an NPT for AI, and a US-led Allied Public-Private Partnership for AI: Four institutions for governing and developing frontier AI

Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI

Deprecating Benchmarks: Criteria and Framework

Toward Neurodivergent-Aware Productivity: A Systems and AI-Based Human-in-the-Loop Framework for ADHD-Affected Professionals

Classifying Emergence in Robot Swarms: An Observer-Dependent Approach

Pluri-perspectivism in Human-robot Co-creativity with Older Adults

AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies

Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape

Meek Models Shall Inherit the Earth

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