About this episode
Kyle Polich discusses the evolution of recommender systems and the importance of trustworthiness with Yashar Deldjoo.
Kyle Polich sits down with Yashar Deldjoo, research scientist and Associate Professor at the Polytechnic University of Bari, to explore how recommender systems have evolved and why trustworthiness matters. They unpack key dimensions of responsible AI, including robustness to adversarial attacks, privacy, explainability, and fairness, and discuss how LLMs introduce new risks like hallucinations. The episode closes with a look at "agentic" recommender systems, where tools and memory shift recommendations from ranked lists to end-to-end task completion.
People in this episode
Host: Kyle Polich
Guest: Yashar Deldjoo
Topics covered
- recommender systems
- responsible AI
- trustworthiness
- adversarial attacks
- privacy
- explainability
- fairness
Keywords
- recommender systems
- trustworthiness
- responsible AI
- adversarial attacks
- privacy
- explainability
- fairness
- LLMs
- hallucinations
- agentic systems
Mentioned in this episode
Organizations: Polytechnic University of Bari
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