
Michael Shermer discusses with Carissa Véliz the implications of algorithms and data on personal privacy and societal control.
Michael Shermer speaks with Oxford philosopher Carissa Véliz about the long human desire to know the future—from ancient oracles and astrology to AI, surveillance capitalism, predictive policing, and "data-driven" decision-making. Véliz argues that prediction is rarely neutral: the same machinery that collects personal data also tries to forecast behavior, and once institutions start treating predictions as facts, forecasts can become tools of control. The conversation gets into why privacy matters for democracy, how algorithms can turn human lives into self-fulfilling prophecies, and why extraordinary people often fall outside predictive models. Shermer and Véliz also discuss the limits of science, the replication crisis, crime statistics, effective altruism, utilitarian ethics, and free will. Carissa Véliz is an associate professor at the Institute for Ethics in AI at the University of Oxford. Her first book, Privacy Is Power (Melville House) was an Economist book of the year and has been published in seven languages. Her academic work has been published in The Harvard Business Review , Nature , AI & Society , and The American Journal of Bioethics , among others. Her new book…
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