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AI and the Future of Work

Babak Hodjat, CTO of AI at Cognizant, on creating Siri and the evolution of AI

March 18, 2024 Dan Turchin
AI and the Future of Work
Babak Hodjat, CTO of AI at Cognizant, on creating Siri and the evolution of AI
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AI and the Future of Work
Babak Hodjat, CTO of AI at Cognizant, on creating Siri and the evolution of AI
Mar 18, 2024
Dan Turchin

Babak is the CTO of AI at Cognizant, the 34 billion market cap provider of tech services with more than 350, 000 global employees. He's the former co-founder and CEO of Sentient, a business responsible for the core technology behind the world's largest distributed artificial intelligence system. Before co-founding Sentient, Babak co-founded and was the CTO and a board member of Dejima where he developed the foundational technology that ultimately became Apple's Siri. 

He's the primary inventor of Dejima's patented technology. Babak has 31 granted or pending patents, is a published author, and is one of the most respected thought leaders in AI.  He holds a PhD in machine intelligence from Kyushu University in Fukuoka, Japan. 

In our conversation, we discuss: 

  • The recent executive order on AI regulation issued by the Biden administration, exploring its key themes such as the development of a national registry for foundational large language models and safety test result sharing by vendors.
  • Babak shares insights into the challenges and engineering intricacies involved in developing and scaling AI systems, emphasizing the importance of understanding the fundamental differences between large language models and human intelligence.
  • The concept of responsible AI and the urgent need for defining unambiguous ethical standards, with Babak expressing concerns about AI potentially being used for destructive or malicious purposes in the wrong hands.
  • Babak's experience as a pioneer in developing foundational technologies for Siri
  • The limitations and expectations surrounding large language models shed light on the challenges of fine-tuning and reinforcing these models, as well as the misconceptions related to their learning capabilities during interactions.
  • The concept of active ontology and its role in the early development of Siri, highlights the revolutionary approach that focused on modeling functionality and ontology first, offering insights into the evolution of natural language technology over the past 25 years.


Additional resources


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Show Notes

Babak is the CTO of AI at Cognizant, the 34 billion market cap provider of tech services with more than 350, 000 global employees. He's the former co-founder and CEO of Sentient, a business responsible for the core technology behind the world's largest distributed artificial intelligence system. Before co-founding Sentient, Babak co-founded and was the CTO and a board member of Dejima where he developed the foundational technology that ultimately became Apple's Siri. 

He's the primary inventor of Dejima's patented technology. Babak has 31 granted or pending patents, is a published author, and is one of the most respected thought leaders in AI.  He holds a PhD in machine intelligence from Kyushu University in Fukuoka, Japan. 

In our conversation, we discuss: 

  • The recent executive order on AI regulation issued by the Biden administration, exploring its key themes such as the development of a national registry for foundational large language models and safety test result sharing by vendors.
  • Babak shares insights into the challenges and engineering intricacies involved in developing and scaling AI systems, emphasizing the importance of understanding the fundamental differences between large language models and human intelligence.
  • The concept of responsible AI and the urgent need for defining unambiguous ethical standards, with Babak expressing concerns about AI potentially being used for destructive or malicious purposes in the wrong hands.
  • Babak's experience as a pioneer in developing foundational technologies for Siri
  • The limitations and expectations surrounding large language models shed light on the challenges of fine-tuning and reinforcing these models, as well as the misconceptions related to their learning capabilities during interactions.
  • The concept of active ontology and its role in the early development of Siri, highlights the revolutionary approach that focused on modeling functionality and ontology first, offering insights into the evolution of natural language technology over the past 25 years.


Additional resources