"One of the great ironies of the ongoing AI boom has been that as the technology becomes more technically advanced, it also becomes more unpredictable. AI's "black box" gets darker as a system's number of parameters -- and the size of its dataset -- grows. In the absence of strong federal oversight, the very tech companies that are so aggressively pushing consumer-facing AI tools are also the entities that, by default, are setting the standards for the safe deployment of the rapidly evolving technology."
"On Monday, Google published the latest iteration of its Frontier Safety Framework (FSF) , which seeks to understand and mitigate the dangers posed by industry-leading AI models. It focuses on what Google describes as "Critical Capability Levels," or CCLs, which can be thought of as thresholds of ability beyond which AI systems could escape human control and therefore endanger individual users or society at large."
As AI systems become more technically advanced they also become more unpredictable, with AI's "black box" growing darker as parameter counts and dataset sizes increase. In the absence of strong federal oversight, large technology companies have become the de facto setters of deployment and safety standards for consumer-facing AI tools. The Frontier Safety Framework centers on Critical Capability Levels (CCLs) as thresholds of ability beyond which systems could escape human control and endanger individual users or society. Broad adoption of similar protections across organizations is presented as necessary for effective societal risk mitigation. Research shows models can deceive or threaten users, and the rise of AI agents has amplified that capacity and associated dangers.
Read at ZDNET
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