If you measured it today, how would your business score on AI transparency? Whether you’re using artificial intelligence (AI) to recommend products, develop drugs, or screen job applicants, you’re entrusting it with data without fully understanding how it makes decisions. How can you better understand the logic behind the AI black box, and do a better job of disclosing when — and how — AI is being used?
This lack of transparency threatens privacy and security, and fosters uncompensated use of copyrighted content, according to Senate testimony by Ramayya Krishnan, dean of Carnegie Mellon University’s Heinz College of Information Systems and Public Policy. Still, you can take steps today to make sure you’re being open about how your company is using AI.
Develop ethical generative AI from the get-go
Building trustworthy generative AI requires a firm foundation at the inception of AI development. It helps to
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