Topic:  June 5: Explore AI Agent Challenges & Opportunities with UW Professor Dr. Chirag Shah

 

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Chirag Shah (Professor, University of Washington)

 

Title: New Age of AI Agents: Challenges and Opportunities

 

Dr. Chirag Shah reveals the compelling rebirth of autonomous agents in our AI-saturated world. This talk examines the critical evolution of AI agents—unpacking successes and failures while highlighting the essential dimensions of trustworthiness in modern systems. Shah presents a vision for responsible, human-centered agents that safeguard privacy by design, limiting data collection and ensuring user control over personal information. Experience how truly intelligent systems can proactively anticipate needs without intrusion, offering personalized assistance that adapts to individual preferences, behaviors, and contexts. Learn how tomorrow's AI partnerships can solve real problems while upholding human values, autonomy, and accountability—creating systems we can confidently rely on for consequential decisions in an increasingly automated world without compromising our digital rights or privacy expectations.

 

Bio:

 

Professor at University of Washington (UW) in Seattle. My research interests include search and recommender systems, specifically focused on task-based applications, conversation AI, user experience, multi-objective optimization, and cold start problems. I have also been engaged in work with generative AI, specifically in information access and image classification problems. While I apply various Data Science and Machine Learning techniques to make systems "smart", I also care about reducing biases and increasing fairness in search/recommendation and in general in ML/AI systems. I primarily teach in Information Science and Data Science programs - at undergraduate and graduate levels. I also work closely with industrial research labs on cutting-edge problems, typically as a visiting researcher. The most recent engagements included Spotify (2018), Amazon (2019), Microsoft Research AI (2020-2024), Getty Images (2021), and TikTok (2024-2025). Some of the problems I have worked on recently include zero-intent and zero-query recommendations, marketplace fairness, and task/journey/mission-based ranking and recommendation with agentic systems. A few of these have led to solutions, features, and products that now affect hundreds of millions of customers in dozens of markets.

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Leena Hanson
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