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Aditya
Gautam
Tech Lead, Machine Learning
Meta
Aditya is a seasoned Machine learning practitioner, currently working on LLM (Llama) application to enhance recommendation and ranking algorithms at scale. He has led several critical Machine learning projects in Facebook reels including user interest exploration, trend detection, quality improvement and safeguarding policy by detection violation. He played a pivotal role in mitigating misinformation on Facebook platform by pioneering effective Machine learning techniques and effectively deploying them at scale, resulting in reducing harmful content and ensuring safe user experience.With this, Aditya is also very passionate about space of AI policy and governance. He holds a master’s degree from Carnegie Mellon University and has worked in Machine learning at Google and has been a founding engineer of an AI startup at Area 120 (Google Incubator). Aditya holds a US patent and has been associated with many organizations including IEEE (Senior Member), Integrity Institute and ACM.
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02 October 2025 16:00 - 16:20
How misinformation is identified, classified and corrected through multi-agent systems
Explore how multi-agent architectures can be used to detect, classify, and mitigate misinformation at scale. Your speaker will touch on agent specialization for fact-checking, source validation, and context-aware correction—along with coordination strategies for consensus-building across agents, and attendees will deepen an understanding of how these systems integrate retrieval, reasoning, and feedback loops to adaptively respond to evolving misinformation patterns.