Newly published research from a leading computer scientist warns that the use of generative AI to design, train, or perform steps within a machine learning system could increase serious risks. Michael Lones, professor at Heriot-Watt University’s School of Mathematical and Computer Sciences, has argued in a new paper that generative AI could expose organizations and the public to unintended harm.
These include cyber-attacks, data breaches, and bias against underrepresented groups, despite potential cost and efficiency benefits. Professor Lones’ study has been published in the journal Patterns and explores how generative AI is increasingly being used to design, build, and operate machine learning systems across a wide range of sectors.
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Source: Phys Org News
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