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Amazon enters AI safety fray, calls for "rigorous testing," safeguards

Amazon enters AI safety fray, calls for "rigorous testing," safeguards

Amazon has entered the artificial intelligence safety conversation, advocating for comprehensive testing and robust safeguards before releasing models. In response to a Reuters inquiry, the company's spokesperson stated, "We don't see it as a choice between progress and safety." Instead, Amazon emphasizes that models should only be released when they are ready and safe, achieved through rigorous testing and strong safeguards.

The remarks come as many of the largest AI labs have called for a slower pace of development following concerns among researchers and others about potential risks, including the possibility of AI systems evading human control and posing threats to global systems and even humanity itself. Amazon's spokesperson added, "There are risks if that doesn't happen collectively. We believe that as an industry, in partnership with government, we'll work through the right protections."

Amazon develops AI models through its Amazon Web Services subsidiary and its artificial general intelligence unit, which aims to power voice assistant Alexa, among other services. The company also serves as a key infrastructure provider for AI labs and facilitates access to competitors' models through its Bedrock marketplace.

This stance comes after a series of high-profile figures, including the CEOs of Nvidia and Meta, distanced themselves from other AI developers, emphasizing the responsibility of individual companies to assess and control potential AI risks. The concerns have also reached the White House, though President Donald Trump has dismissed safety worries as a "hoax."

President Trump is expected to meet with AI executives in the coming days. It remains unclear if Amazon will implement similar measures, given its earlier silence on the matter.

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

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