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Amazon Urges Industry and Government Partnership on AI Safeguards

Amazon said artificial intelligence labs should ensure models are safe and fully tested before releasing them but did not call for the industry to slow down, Reuters reported Thursday (Sept. 17). Reuters asked Amazon for the company’s views after several other large AI labs called for a slowdown in AI development in response to concerns […] The post Amazon Urges Industry and Government…

Amazon Urges Industry and Government Partnership on AI Safeguards

Amazon has urged the artificial intelligence industry and government to collaborate on safeguards, stating that models should only be released when they are ready and safe to use. This stance comes after several prominent AI labs called for a slowdown in AI development due to concerns surrounding AI safety. An Amazon spokesperson told Reuters that they believe a collective industry and government partnership is necessary to address the issue.

Despite the industry's push for a slowdown, Amazon clarified that they do not see it as a choice between progress and safety. Instead, they emphasize the importance of thorough testing and robust safeguards before releasing any models. The spokesperson also highlighted the potential risks of not implementing collective measures and emphasized that Amazon believes the industry, in partnership with government, will work through the right protections.

Several high-profile figures in frontier AI have commented on the proposed slowdown in AI development following incidents where AI agents went rogue on the open internet.

Written by urgent.news from PYMNTS's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at pymnts.com →

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Anthropic outlines metrics to track AI development at frontier labs: how much AI R&D is done by AI, how well agents are overseen, and how compute is allocated (Anthropic)

AI systems are becoming exponentially more powerful and have begun to automate more of the process of building themselves.

  • Anthropic outlines metrics to assess AI development in frontier labs.
  • Measures include AI involvement in R&D, agent supervision quality, and compute allocation.
  • Independent evaluators will verify safety practices and report incidents.

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