Anthropic’s New Initiative for AI Evaluation Funding
Anthropic has launched a new initiative to address the current challenges in evaluating artificial intelligence capabilities and risks. This initiative aims to fund third-party organizations that can provide reliable assessments of advanced AI models, filling the gap in the market where demand exceeds supply.
Addressing Current Evaluation Challenges
Currently, the landscape of AI evaluations is limited, making it difficult to develop high-quality and safety-relevant assessments. Anthropic’s initiative seeks to address this gap by funding organizations that can effectively measure AI capabilities, ultimately elevating the standards of AI safety in the industry.
Focus Areas
The initiative by Anthropic will focus on three key areas:
- AI Safety Level assessments
- Advanced capability and safety metrics
- Infrastructure, tools, and methods for developing evaluations
AI Safety Level Assessments
Anthropic is looking for evaluations that can measure AI Safety Levels (ASLs) as defined in their Responsible Scaling Policy. These assessments are essential for ensuring responsible development and deployment of AI models. The areas of focus include:
- Cybersecurity: Assessing models’ capabilities in cyber operations.
- Chemical, Biological, Radiological, and Nuclear (CBRN) Risks: Evaluating models’ abilities in CBRN threats.
- Model Autonomy: Understanding models’ autonomous capabilities.
- National Security Risks: Identifying risks in national security and defense.
- Social Manipulation: Measuring models’ potential for persuasion-related threats.
- Misalignment Risks: Monitoring models’ abilities to pursue dangerous goals.
Advanced Capability and Safety Metrics
Anthropic aims to develop evaluations that assess advanced model capabilities and safety criteria beyond ASL assessments. Key areas of focus include:
- Advanced Science: Challenging models with graduate-level knowledge.
- Harmfulness and Refusals: Enhancing evaluations of harmful outputs detection.
- Improved Multilingual Evaluations: Supporting capability benchmarks across languages.
- Societal Impacts: Assessing biases, economic impacts, and psychological influence.
Infrastructure, Tools, and Methods for Developing Evaluations
Anthropic is interested in funding tools and infrastructure that streamline evaluation development, including:
- Templates/No-code Evaluation Platforms: Enabling non-experts to create robust evaluations.
- Evaluations for Model Grading: Improving models’ scoring abilities.
- Uplift Trials: Running controlled trials to measure models’ impact.
Principles of Good Evaluations
Anthropic emphasizes characteristics of good evaluations such as difficulty, efficiency, scalability, and domain expertise. They also recommend documenting the development process and iterating to capture desired behaviors and risks accurately.
Submitting Proposals
Interested parties can submit proposals through Anthropic’s application form. The team will review submissions continuously and provide tailored funding options for selected projects. Proposals will have the opportunity to collaborate with domain experts to enhance their evaluations.
Hot Take on Anthropic’s Initiative
By funding third-party evaluations in the AI space, Anthropic’s initiative is paving the way for improved AI safety and capabilities. This collaborative approach not only sets industry standards but also fosters a safer and more reliable AI ecosystem. It’s an exciting step towards responsible AI development and deployment.
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