Panelist Jai Ganesh

Jai Ganesh

Harman Digital Transformation Solutions

India

An award-winning digital transformation leader with over 20 years of experience, Jai Ganesh drives technology strategy, product innovation, and R&D excellence at Harman. A prolific innovator with 18 granted patents and numerous industry acknowledgments, Ganesh has a proven track record of transforming cutting-edge technologies into impactful business solutions. He has published in leading peer-reviewed journals and spoken at numerous industry conferences. His expertise spans generative AI, quantum computing, machine learning, NLP, graph networks, and more.

Dr. Ganesh’s role involves leading transformative initiatives across AI, data, customer experience, cloud, and cybersecurity, crafting products that unlock business potential. He is passionate about enterprise co-creation, fostering global partnerships with academia, startups, and technology leaders. With prior technology leadership roles at Mphasis, Infosys, and Cognizant, Dr. Ganesh earned a PhD and MBA from IIM Bangalore and was a Chevening Rolls-Royce Science and Innovation Fellow at the University of Oxford. As a thought leader and mentor, he is committed to nurturing the next generation of innovators and advancing technology’s role in reshaping industries.

Voting History

Statement	Response
General-purpose AI producers (e.g., companies like DeepSeek, OpenAI, Anthropic) can be held accountable for how their products are developed. Strongly agree	“General-purpose AI producers like DeepSeek, OpenAI, and Anthropic have a significant responsibility to ensure that their products are developed with ethical considerations, transparency, and accountability. The general-purpose AI producers can be held accountable through industry-led initiatives where companies can establish their own ethical guidelines and standards for AI development, ensuring transparency and accountability; regulatory frameworks to establish clear guidelines and regulations for AI development; audits and assessments to help identify potential biases and errors in AI systems; and transparency and explainability of AI systems, making it easier to understand how they arrive at their decisions.”

Statement

Response

General-purpose AI producers (e.g., companies like DeepSeek, OpenAI, Anthropic) can be held accountable for how their products are developed. Strongly agree

“General-purpose AI producers like DeepSeek, OpenAI, and Anthropic have a significant responsibility to ensure that their products are developed with ethical considerations, transparency, and accountability. The general-purpose AI producers can be held accountable through industry-led initiatives where companies can establish their own ethical guidelines and standards for AI development, ensuring transparency and accountability; regulatory frameworks to establish clear guidelines and regulations for AI development; audits and assessments to help identify potential biases and errors in AI systems; and transparency and explainability of AI systems, making it easier to understand how they arrive at their decisions.”