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Technology

Data Skeptic

by Kyle Polich
TechnologyScienceMathematics

Today: #190 in Technology on our combined chart.

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#183 Pulse 4

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DateCombined RankApple Podcasts
Oct 6#190#183

About the show

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.

Latest episodes

  • Implicit Interactions

    October 5, 2026 · 45 min

    How do we design robots and autonomous vehicles that understand the unwritten rules of human behavior? Kyle speaks with Cornell Tech professor Wendy Ju about implicit interaction, "Wizard of Oz" prototyping, and what studying pedestrians…

  • The Lived Informatics Model

    September 25, 2026 · 34 min

    The data we collect about ourselves can tell us a lot—but only if the technology collecting it actually fits into our lives. Daniel Epstein explores personal informatics, from fitness trackers and food journals to baby tracking and AI, and…

  • Recommender Systems Today and Tomorrow

    September 9, 2026 · 23 min

    In the final episode of our Recommender Systems season, we explore the growing questions of trust, manipulation, privacy, fairness, sustainability, and user control. From fake reviews and shilling attacks to explainable recommendations and…

  • Recommender Systems Optimization Goals

    September 1, 2026 · 31 min

    In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult question: what should recommender systems actually optimize for? Drawing on conversations from across the season, the episode explores…

  • Recommender Systems Origin Story

    August 18, 2026 · 26 min

    Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to…

  • Social Choice for Fair Recommendations

    July 27, 2026 · 43 min

    Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of optimizing purely…

  • News Recommendations

    July 2, 2026 · 46 min

    News recommendation algorithms influence far more than what stories we click—they can shape our understanding of the world. In this episode, Kyle Polich speaks with Andreea Iana about responsible AI, filter bubbles, multilingual news…

  • Give Users the Wheel

    June 23, 2026 · 35 min

    What if you could simply tell a recommendation system what you want instead of relying on likes, dislikes, and watch history? Kyle Polich talks with Fuyuan Lyu about the DPR framework, which combines large language models and traditional…