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A University of Illinois English professor’s new book draws on interviews with more than 100 AI and machine learning researchers to cut through sensational claims about job loss, existential threats, or miracle cures, instead highlighting the everyday reality of building practical tools such as GPS navigation and email spam filters through iterative math, modeling, and revision. The work shows that much of the surrounding hype stems from intense competitive pressures to publish rapidly at conferences and promote results across social media and other platforms, which can encourage overstatement and underplay of limitations like the alignment problem—when systems produce unintended harmful outcomes from flawed training data. To counter this, the book recommends framing AI as targeted automation for specific needs, training researchers to explain technical details clearly to nonexperts, adjusting academic incentives toward quality over quantity, and directing the public toward researchers’ own technical explanations rather than business or media spin.

https://www.barnesandnoble.com/w/ai-through-the-experts-eyes-john-r-gallagher/1148351867?ean=9780822968047