Alliance for Trust in AI

"The comments from the Alliance for Trust in AI opposed the proposed reporting cadence and also sought clarity on who would be covered by the rule, while raising issues -- also flagged by a notable administration official as well as key industry leaders -- with using the size of models or computing networks as a proxy for risk. ... ATAI said, 'This reduction in research and innovation will have downstream effects, particularly for entities that do not develop their models but instead rely on implementing and iterating others’ models, leading to an overall loss in momentum for AI innovation and development.' 'ATAI instead recommends annual reporting requirements,' the group said while arguing BIS 'vastly underestimates the actual burden of quarterly reporting' in its proposed rule." https://lnkd.in/eAwQCjPa

The Alliance for Trust in AI submitted comments in response to the Bureau of Industry and Security’s (BIS) Notice of Proposed Rulemaking on the Establishment of Reporting Requirements for the Development of Advanced Artificial Intelligence Models and Computing Clusters. In its comments, the Alliance encouraged BIS to make it clear that the proposed rule only applies to the original developers of large models, to implement the numerical thresholds for reporting but continue to explore alternatives to numerical reporting and risk thresholds, and to consider ways to reduce reporting burdens under the proposed rule. https://lnkd.in/eHmCNvhd

The Alliance for Trust in AI submitted comments on the National Institute for Standards and Technology’s (NIST) public guidance on Managing Misuse Risk for Dual-Use Foundation Models. The Alliance suggests that NIST should not limit risk management solely to initial AI developers or the initial stages of the model lifecycle, but should consider risk management throughout the model life cycle. The comments also suggest that NIST recognize that risk from AI models and systems is dependent on deployment context and that NIST carefully craft definitions and scope practices to credible risk. We also encourage the AI Safety Institute and other stakeholders to invest more in understanding the best methods for information sharing to reduce risk. https://lnkd.in/ebdcY7CF

In the latest post in our AI explainer series, Alice Hubbard examines the role of data in training AI models. https://lnkd.in/euZar9yF

The Alliance for Trust in AI joined a coalition of tech companies, associations, and research groups to send a letter to Congressional leaders to urge them to prioritize authorizing the U.S. Artificial Intelligence Safety Institute (AISI) within the National Institute of Standards and Technology (NIST). Establishing the AISI on a statutory basis will ensure that companies of all sizes – as well as other interested parties – continue to have a voice in the development of relevant standards and guidelines. This will accelerate the widespread adoption of AI and further ensure the US continues to lead the world in the development of AI standards. https://lnkd.in/efApXXTm

Great session in Sacramento last week with Alliance for Trust in AI hosting top #California AI policymakers; Sen. Scott Wiener, Asm. Buffy Wicks, Asm. Cottie Petrie-Norris, Secretary Amy Tong , and Senator Tom Umberg. Thank you to everyone who joined us! Top takeaways: 📜 AI legislation should have common definitions, take risk context into consideration, and work to bring alignment to the many different efforts going on in the policymaking field. 🔬 CA has been working with its vendors (large and small) to pilot how public agencies implement AI in a trustworthy manner. Lots of lessons to be learned here on how to scale innovation from the country's most populous state. 📣 Legislators are passionate about getting this issue right and are hungry for feedback and engagement. If you're just getting started on AI policy, no worries. You can read some excellent primers from Heather West and Alice Hubbard here: https://lnkd.in/gxk7Evm5 #AI #Policy #CA (enjoy DALL-E's perception of the discussion :-)

Inside AI Policy reported on our comments submitted on two National Institute of Standards and Technology (NIST) draft guidances issued under President Biden’s executive order on #AI, addressing synthetic content and global engagement on AI standards. https://lnkd.in/e_DX8wYg

Our latest blog post by Alice Hubbard explains synthetic content as it relates to #AI and the role that principles and codes of conduct for deployers and users of AI play in mitigating its risk.   https://lnkd.in/dkzYbVNA

As policy makers and businesses discuss responsible uses of #AI, clarity around the meaning of certain terms is important. Our blog series aims to educate and provide some clarity around phrases used when referencing artificial intelligence. Our latest post examines "open-source AI". Read more here: https://lnkd.in/d6iyHx3y

In our latest blog post, @alicehubbard digs into the use of guardrails and safeguards for AI and their importance in building user trust in AI systems. https://lnkd.in/e6eq2RRn