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116 - Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen

116 - Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen

In this podcast episode, Dr. Siddhartha Sen, a Principal Researcher at Microsoft's New York City lab, shares his insights on cutting-edge research in the fields of optimal decision making, data structures, and verifiably safe AI.

He discusses his efforts to develop AI that seamlessly integrates with human solutions, minimizing disruption and maximizing productivity, using reinforcement learning and HAIbrid algorithms. This approach harnesses the strengths of both human and machine intelligence, culminating in the creation of safe AI that aligns with human values and ethics.

By tapping into the power of randomness, Dr. Sen explores how AI algorithms can be made more effective and adaptable, with the capacity for innovation and evolution. He emphasizes the importance of maintaining transparency in AI systems to build trust with end-users and promote responsible AI.

This podcast episode provides an insightful look at the future of AI and how it can be developed to work in harmony with human solutions, making our lives easier and more efficient.

The link to the podcast episode: https://open.spotify.com/episode/3SfrCJskfDEPk5WDarDtbP

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Microsoft Research Podcast
Microsoft Research Podcast

An ongoing series of conversations bringing you right up to the cutting edge of Microsoft Research.

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