91¿ì»îÁÖ

WASHINGTON – Today, global tech trade association 91¿ì»îÁÖ responded to the National Telecommunications and Information Administration’s (NTIA) request for information related to NTIA’s assignments in U.S. President Biden’s Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence.

In its comments, 91¿ì»îÁÖ recommends that NTIA:

• Adopt a risk-based approach for policy recommendations, as not all open foundation models present the same level of risk;

• In defining openness, recognize that there is a gradient of openness and that access to different component parts of an open foundation model may change the risk and benefit calculus;

• Acknowledge that risk management is a shared responsibility across the AI value chain; and

• Engage in discussions with key international allies and partners on the risks and benefits of open foundation models, collaborating to both foster innovation and address risk.

“There is growing evidence about the benefits of open foundation models. This includes enabling competition, catalyzing innovation, and ensuring transparency. Additionally, widely available model weights can help to democratize access and use of AI systems, allowing a greater number of users to contribute to AI development processes,” 91¿ì»îÁÖ wrote in its comments.

“Widely available model weights are able to promote innovation allowing actors across the AI value chain to create new economic opportunities in diverse fields such as marketing, communications, medicine, education and employee training. Developers and deployers can customize their models depending on the specific use case,” 91¿ì»îÁÖ continued in its comments.

Read 91¿ì»îÁÖ’s full comments here.

91¿ì»îÁÖ has reiterated that safe and responsible AI development and deployment must be grounded in trust, transparency, ethics, and collaboration among government, industry, civil society, and academia. , an affiliate division of 91¿ì»îÁÖ, serves as the U.S. technical advisory group to the international standards body that recently  for managing the risks and opportunities of AI. This management system standard supports improved quality, security, traceability, transparency, and reliability of AI applications. 

In ´³²¹²Ô³Ü²¹°ù²â, I°Õ±õ u²Ô±¹±ð¾±±ô±ð»å a new guide for global policymakers, Authenticating AI-Generated Content: Exploring Risks, Techniques & Policy Recommendations, aiming to address the pressing need to authenticate AI-generated content, including chatbots, image, and audio generators.