Futures

Overview of the Closed Agentic AI Research Grant Program and Its Objectives, (from page 20230303.)

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Summary

The Agentic AI research grant program aimed to provide funding between $10,000 and $100,000 for studies on the impacts and safety practices of agentic AI systems, which are capable of pursuing complex goals with minimal supervision. The program has concluded. The accompanying white paper defines agentic AI systems and the involved parties, stressing the need for established responsibilities and safety protocols. It presents initial safety practices for ensuring accountability in agent operations and identifies questions that require resolution before these practices can be implemented. Additionally, it discusses the indirect effects of widespread agentic AI adoption, suggesting that these may necessitate new governance frameworks.

Signals

name description change 10-year driving-force relevancy
Emerging Focus on Agentic AI Increased research funding for agentic AI systems indicates growing interest in their safe integration. Shift from traditional AI to agentic AI systems with complex goal pursuit. Widespread use of agentic AI systems across various sectors, emphasizing safety and accountability. Desire to harness AI’s capabilities while minimizing potential risks and harms. 4
Need for Governance Frameworks Recognition of the necessity for governance frameworks due to agentic AI’s indirect impacts. Transition from unregulated AI systems to structured governance and accountability measures. Established governance frameworks ensuring responsible use and oversight of agentic AI technologies. Increasing awareness of the risks and societal impacts of autonomous AI systems. 5
Research into Safety Practices Grants for research indicate a proactive approach to developing safety practices for AI. Shift from reactive safety measures to proactive research-based practices for AI systems. Comprehensive safety practices and standards established for agentic AI deployment. Commitment to ensuring AI systems operate safely and align with human values. 4
Agentic AI in Society Integration of agentic AI systems into society highlights their potential benefits and risks. Emergence of agentic AI as a fundamental component of societal infrastructure. AI systems integrated into daily life, enhancing efficiency but requiring careful management. Pursuit of increased efficiency and effectiveness in achieving personal and societal goals. 4

Concerns

name description relevancy
Safety and Accountability of Agentic AI Concerns about ensuring agentic AI systems operate safely and are held accountable for their actions as they pursue complex goals with limited supervision. 5
Governance Frameworks for AI The need for new governance frameworks to address the indirect impacts and ethical considerations of wide-scale adoption of agentic AI systems. 4
Complexity of Implementing Best Practices Uncertainties and questions regarding how to effectively implement safety best practices for agentic AI systems remain unaddressed. 4
Potential for Harm from Agentic AI The potential risks of harm associated with the deployment of agentic AI systems if not integrated responsibly into society. 5
Responsibility In the AI Lifecycle The necessity of defining baseline responsibilities among various stakeholders involved in the agentic AI system life-cycle to mitigate risks. 4

Behaviors

name description relevancy
Funding for AI Safety Research Increased allocation of grants to explore safety measures and impacts of agentic AI systems. 5
Development of AI Governance Frameworks Emergence of governance frameworks to manage risks associated with the adoption of agentic AI systems. 4
Establishment of Baseline Best Practices Creation of agreed-upon best practices for the operation and accountability of agentic AI systems. 5
Focus on Agentic AI Accountability Growing emphasis on ensuring accountability in the operations of AI systems that can act autonomously. 5
Research on Indirect Impacts of AI Investigation into the indirect effects of widespread agentic AI adoption on society and various sectors. 4

Technologies

description relevancy src
AI systems capable of pursuing complex goals with limited supervision, requiring safety practices and governance frameworks. 5 b394787c467cb4f7f164c975923bc874

Issues

name description relevancy
Agentic AI Safety The need for safety measures and best practices to govern agentic AI systems to prevent potential risks and harms. 5
Governance Frameworks for AI The necessity for new governance frameworks to manage the indirect impacts resulting from the widespread use of agentic AI systems. 4
Accountability in AI Operations The importance of establishing accountability protocols for the operations of agentic AI systems to ensure responsible use. 4
Research Funding for AI Safety The emerging trend of funding research initiatives focused on the safe integration of advanced AI systems into society. 3
Uncertainties in AI Practices The need to address questions and uncertainties in codifying best practices for agentic AI systems before implementation. 4