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Summary

OpenAI and other leading AI labs have made a set of voluntary commitments to reinforce the safety, security, and trustworthiness of AI technology and their services. These commitments include commitments to internal and external red-teaming of models or systems, investing in cybersecurity and insider threat safeguards, developing and deploying mechanisms that enable users to understand if audio or visual content is AI-generated, publicly reporting model or system capabilities, limitations, and domains of appropriate and inappropriate use, and prioritizing research on societal risks posed by AI systems. These commitments are intended to help advance meaningful and effective AI governance.

Q&As

What are OpenAI and other leading AI labs doing to reinforce the safety, security and trustworthiness of AI technology?
OpenAI and other leading AI labs are making a set of voluntary commitments to reinforce the safety, security and trustworthiness of AI technology and their services.

What voluntary commitments are companies making to promote the safe, secure, and transparent development and use of AI technology?
Companies are making commitments to internal and external red-teaming of models or systems, work toward information sharing among companies and governments, invest in cybersecurity and insider threat safeguards, incentivize third-party discovery and reporting of issues and vulnerabilities, develop and deploy mechanisms to enable users to understand if audio or visual content is AI-generated, develop and deploy mechanisms to enable users to understand if audio or visual content is AI-generated, develop and deploy mechanisms that enable users to understand if audio or visual content is AI-generated, publicly report model or system capabilities, limitations, and domains of appropriate and inappropriate use, prioritize research on societal risks posed by AI systems, and develop and deploy frontier AI systems to help address society’s greatest challenges.

What safety procedures are companies committing to publicly disclose in their transparency reports?
Companies are committing to publicly disclosing their red-teaming and safety procedures in their transparency reports.

What mechanisms are companies developing and deploying to enable users to understand if audio or visual content is AI-generated?
Companies are developing and deploying mechanisms that include robust provenance, watermarking, or both, for AI-generated audio or visual content.

What research and initiatives are companies committing to support to help citizens understand the nature, capabilities, limitations, and impact of AI technology?
Companies are committing to supporting research and development of frontier AI systems that can help meet society’s greatest challenges, supporting initiatives that foster the education and training of students and workers to prosper from the benefits of AI, and helping citizens understand the nature, capabilities, limitations, and impact of the technology.

AI Comments

👍 This is an excellent article outlining the commitments that OpenAI and other leading AI labs are making to ensure the safety, security, and trustworthiness of AI technology. It provides a comprehensive list of commitments and is a great step towards advancing meaningful and effective AI governance.

👎 This article fails to mention the potential ethical implications of AI technology and the potential risks that this technology poses. It also fails to address the need for regulations to protect against these risks.

AI Discussion

Me: It's about OpenAI and other leading AI labs making voluntary commitments to reinforce the safety, security, and trustworthiness of AI technology. They are also investing in research in areas that can help inform regulation.

Friend: That's interesting. What do you think the implications of this could be?

Me: I think it's a positive step in the right direction for AI governance, both in the US and around the world. It could lead to increased transparency and trust in AI technology, as well as better safety and security protocols. It could also lead to more collaboration between companies and governments in order to create stronger regulations and standards for AI.

Action items

Research the NIST AI Risk Management Framework and other standards related to red-teaming, safety, and societal risks.
Develop a multi-faceted, specialized, and detailed red-teaming regime for AI models.
Investigate the effects of AI systems on societal risks such as bias and discrimination.

Technical terms

Mobile Navigation: A feature on a website or app that allows users to quickly navigate to different sections of the site or app.
GPT-4: Generative Pre-trained Transformer 4, a natural language processing model developed by OpenAI.
DALL·E 2: A natural language processing model developed by OpenAI that can generate images from text descriptions.
API: Application Programming Interface, a set of protocols and tools for building software applications.
Red-teaming: A security practice in which a team of experts simulate an attack on a system to identify potential weaknesses and vulnerabilities.
White House: The executive branch of the United States government.
NIST: National Institute of Standards and Technology, a non-regulatory agency of the United States Department of Commerce.
Provenance: A record of the origin and history of a particular item or object.
Watermarking: A process of embedding a digital watermark into a digital file or image.
Bounty System: A system in which rewards are offered for the successful completion of a task.