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In Part 1 of our series, we explored the foundational concepts of responsible AI in the payments industry. In this post, we discuss the practical implementation of responsible AI frameworks. The need for responsible AI The implementation of responsible AI is not passive, but a dynamic process of reimagining how technology can serve a customer’s…

At a computer security conference in Arlington, Virginia, last October, a few dozen AI researchers took part in a first-of-its-kind exercise in “red teaming,” or stress-testing a cutting-edge language model and other artificial intelligence systems. Over the course of two days, the teams identified 139 novel ways to get the systems to misbehave including by…

The payments industry stands at the forefront of digital transformation, with artificial intelligence (AI) rapidly becoming a cornerstone technology that powers a variety of solutions, from fraud detection to customer service. According to the following Number Analytics report, digital payment transactions are projected to exceed $15 trillion globally by 2027. Generative AI has expanded the…

Today, we announced that we’re offering students in the U.S. as well as Japan, Indonesia, Korea and Brazil a free one-year subscription to Google’s AI Pro plan to help make the most of AI’s power for their studies. Sign-up for the free AI Pro Plan offer. We’re also rolling out a new suite of learning…

That’s why Mirhoseini has been using AI to optimize AI chips. Back in 2021, she and her collaborators at Google built a non-LLM AI system that could decide where to place various components on a computer chip to optimize efficiency. Although some other researchers failed to replicate the study’s results, Mirhoseini says that Nature investigated…