Along with the benefits of generative AI come a varied array of harms—enough that it can be hard to remember all of them. The IMPACT RISK acronym offers a mnemonic so you or your students can take them into account. By keeping the IMPACT RISK framework in mind, we can navigate the AI revolution more thoughtfully, examining whether AI can be a force for progress rather than a Pandora's box of unintended consequences. Video produced by Jon Ippolito for the University of Maine’s Learning With AI initiative. View the associated website and download free infographics at https://bit.ly/impactrisk.
AI is supposed to be unbiased, but it can only use the data it’s given—and that data often reflects the biases of its creators. This has led to some clear examples of bias in AI. For instance, some AI algorithms have been shown to send tech job openings to men but not women.
Studies and news reports have highlighted cases where AI produced unfair or discriminatory results because of these biases.