Key Commitments for Responsible Artificial Intelligence Development and Deployment

Leading companies in the artificial intelligence (AI) industry have outlined several key commitments to ensure the responsible development and deployment of AI systems. These commitments aim to address societal risks, promote transparency, and leverage AI's potential to tackle global challenges.

Enabling User Identification of AI-Generated Content

To promote transparency, companies commit to developing mechanisms that enable users to identify AI-generated audio or visual content. This includes:

• Robust provenance and watermarking systems for AI-generated audiovisual content
• Tools or APIs to determine if specific content was created using their AI systems
• Collaboration with industry peers and standards bodies to establish a technical framework for distinguishing user-generated content from AI-generated content

Transparent Reporting on AI Systems' Capabilities, Limitations, and Risks

Companies acknowledge the importance of user understanding regarding the capabilities and limitations of AI systems. They commit to publishing reports for significant new model releases, covering:

• Safety evaluations, including assessments of potential dangerous capabilities
• Significant performance limitations and appropriate domains of use
• Discussion of societal risks, such as fairness and bias
• Results of adversarial testing conducted before deployment

Prioritizing Research on Societal Risks of Artificial Intelligence

Recognizing the importance of avoiding harmful biases and discrimination, companies commit to prioritizing research on societal risks posed by AI systems. This includes:

• Empowering trust and safety teams
• Advancing AI safety research
• Protecting privacy and safeguarding children
• Proactively managing AI risks to realize its benefits

Developing AI Systems to Address Global Challenges

Companies agree to support research and development of cutting-edge AI systems to help address society's greatest challenges, such as:

• Climate change mitigation and adaptation
• Early cancer detection and prevention
• Combating cyber threats

They also commit to fostering AI education and training initiatives to help citizens understand and benefit from the technology.

Collaboration and Industry Standards

Throughout these commitments, companies recognize the need for collaboration with industry peers and standards-setting bodies to establish best practices and technical frameworks for responsible AI governance.