CXOTalk: Leadership, AI, and the Digital Economy
Inside the Advanced AI Lab: Agentic AI, Robots, and Levitating Trees | CXOTalk #854
Oct 6, 2024
Babak Hodjat, CTO of AI at Cognizant and a pioneering inventor of Siri's natural language processing, dives into the transformative landscape of Agentic AI and multi-agent systems. He explains how these AI agents mimic mini robot armies, revolutionizing efficiency and collaboration in work environments. The discussion also highlights ethical considerations, including AI bias, and explores the futuristic idea of robots learning to navigate in a world with levitating trees. Hodjat offers insights into evolutionary algorithms that could redefine how we optimize websites and make AI more accountable.
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Quick takeaways
- Agentic AI, characterized by its ability to act on generated data rather than just produce outputs, marks a significant advancement in automated workflows.
- The ethical considerations surrounding AI bias emphasize the necessity for responsible data management to ensure equitable outcomes in AI-driven decisions.
Deep dives
The Evolution of AI in Command and Control
The development of natural language processing (NLP) technologies has significantly evolved, particularly in relation to command and control applications. Early work on multi-agent systems laid the foundation for understanding how AI could effectively operate within controlled environments by breaking down complex tasks into manageable components. This historical context highlights the transition from limited AI capabilities to today's advanced large language models that can handle multiple roles simultaneously. The current paradigm emphasizes defining specific responsibilities for agents to optimize their performance in various contexts, reflecting a shift toward more decentralized AI architectures.
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