AI Foundation Model Access Initiative 

Assessing the risks and opportunities of increased access to AI foundation models and setting the stage for actionable, policy oriented solutions.

In the past several years, a number of leading labs have released cutting-edge AI foundation models. While some models have remained highly restricted, others are fully open, giving rise to a spirited debate on the relative risks and opportunities of these distinct business approaches. This discourse tends to borrow from historical debates around the open source software movement, which is now widely understood to be a critical source of technological innovation and cornerstone of digital development. But can we draw an equivalency between access to AI models and the open source software approach?

As part of its mission to address complex security issues at the forefront of technological innovation, the Institute for Security and Technology (IST) is leading an effort to study ways in which increased access to cutting-edge AI foundation models–across a gradient of access from fully closed to fully open–drives risk and enables opportunity. 

“In the most general terms, the resulting risk matrix indicates that as access to AI foundation models increases, there is new potential for harm… The risk of malicious use, compliance failure, taking the human out of the loop, and capability overhang all increase with increased access. The risk of fueling a race to the bottom increases when we assume a “winner takes all” dynamic. Only the risk of reinforcing bias fluctuates as access increases.” 
Zoë Brammer, How Does Access Impact Risk? December 2023

Latest

Report: How Does Access Impact Risk?
Assessing AI Foundation Model Risk Along A Gradient of Access | December 2023

Advanced AI systems are proliferating at an astonishing rate, with varying levels of access to their model components. To date, there is no clear method for understanding the risks that can arise as access increases. Our latest report addresses this gap.

From the NatSpecs Blog

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