Responsible AI is at its commercial inflection point. While there are 80 countries working on emerging regulations, international standards organization working on over 45 standards, expanding number of short digital courses (over 50 courses on Udemy), increased discussions at industry seminars and panels, evolving conversations on social media regarding responsible and trustworthy Data and AI, the question remains “is RAI at its commercial inflection point?”
Modulating return on investment from AI, hazy clarity on regulatory expectations, mounting estimates on compliance costs, pervasive lack of skillsets and unestablished economic incentives for adoption are becoming key hurdles in Responsible AI journey.
With a little over 14k professionals, Responsible AI can become an important integral in enhancing value proposition of emerging technology. But how?
This session will delve into roadblocks and opportunities regarding commercial adoption of RAI.
Mr. Sundar Narayanan is an accomplished Ethics and Compliance advisor with over 18 years of experience developing ethics and compliance frameworks, implementing ethics and governance policies, and managing compliance initiatives. He currently advise businesses in embedding AI Ethics and Governance in their AI applications/ platforms. He is also an AI ethics researcher with multiple papers presented in conferences and workshops, including NeurIPS and ASIS&T SIG-SI. Currently pursuing a doctoral thesis on ethical issues in AutoML tools with the University of Bordeaux. As a Fellow and Board Member of ForHumanity, a non-profit focused on auditing AI systems, he contributed to the Risk Management Framework for AI system audits. He is also engaged in shaping AI standards in India. Sundar Narayanan also teach a graduate course on AI Ethics at Symbiosis Institute of Technology