AI isn’t replacing humans, but it’s redefining how we work together.
What does it really take to build AI that understands us?
Welcome to The Wavelength – Podcast Series by LTTS, where we explore ideas, innovations, and technologies shaping today’s world with visionary leaders.
In this episode, our Deputy CTO Piyush Jain hosts Prof. Hossein Rahnama—computer scientist, professor, and head of the Sapiens program at MIT, for a deep dive into what it truly means to build human-centric AI.
As AI adoption accelerates across industries, this conversation challenges conventional thinking—highlighting why AI is not here to replace humans, but to augment them. From the role of trust as a currency in the AI economy to the importance of designing systems with humans in the loop, Prof. Rahnama offers a powerful, grounded perspective on the evolution of AI.
The discussion explores how AI systems must move beyond automation toward collaboration—bringing together human expertise, context, and decision-making with machine intelligence.
Key topics in this episode:
- What “human-centric AI” really means in practice
- Why data is the new asset, and trust is the currency
- AI as a decision support tool, not a decision-maker
- The importance of AI literacy across enterprises
- Perspective AI and the shift toward human-AI collaboration
- Governance, auditability, and building trusted AI systems
If you're looking to understand how AI can be designed, not just deployed; this episode offers a thoughtful and practical lens on what it takes to get it right.
