OpenAI Framework for AI Safety Cooperation
OpenAI has identified four key strategies to improve long-term industry cooperation on AI safety norms to prevent competitive pressures from leading to a collective action problem where companies under-invest in safety. This cooperation is essential to ensure that AI systems remain safe and beneficial as they become increasingly powerful.
Four Strategies for Improving AI Safety Cooperation
To increase the likelihood of adherence to safety standards, OpenAI proposes the following four actionable strategies:
1. Promoting Accurate Beliefs About Cooperation
Industry actors should communicate the safety and security risks associated with AI and make shared concerns common knowledge. By demonstrating that concrete steps can be taken to promote cooperation, companies can align their beliefs regarding the opportunities for mutual benefit.
2. Collaborating on Shared Research and Engineering
Companies should engage in joint interdisciplinary research that combines complementary areas of expertise. This collaboration is particularly effective when focused on research and engineering challenges whose solutions provide wide utility to the entire field.
3. Increasing Transparency and Oversight
OpenAI suggests opening more aspects of AI development to appropriate oversight and feedback. This includes publicizing codes of conduct, increasing transparency regarding publication-related decision-making, and allowing individual AI systems to be scrutinized, provided that intellectual property and security concerns are addressed.
4. Incentivizing High Safety Standards
The industry should support economic, legal, or industry-wide incentives to adhere to safety standards. This involves commending organizations that follow these standards and reproaching those that fail to ensure systems are developed safely.
Addressing the Collective Action Problem
Competitive pressures in the AI industry can create a "collective action problem," where the incentive to deviate from safety norms for a competitive advantage outweighs the incentive to cooperate. OpenAI argues that cooperation is more likely when the mutual benefits of safe development—such as preventing AI failure and misuse—are higher than the advantages gained by ignoring safety.
To reduce the temptation to ignore safety precautions, OpenAI suggests:
- Reducing implementation costs: Lowering the cost and difficulty of implementing safety measures makes compliance more attractive.
- Regulatory environments: Governments can create a regulatory environment where violating high-stakes safety standards is prohibited.
Proposed Areas for Collaborative Research
OpenAI advocates for a thorough mapping of collaborations across organizational and national borders, specifically focusing on areas of wide utility, such as:
- Formal verification: Joint research into the formal verification of AI systems' capabilities and other safety and security aspects.
- AI for good: Applied projects in domains like sustainability and health with wide-ranging positive applications.
- AI countermeasures: Joint development of countermeasures against global threats, such as the misuse of synthetic media generation online.