Sanjay Sarma is president and CEO of the Asia School of Business in Kuala Lumpur, Malaysia. He is also a professor of mechanical engineering at MIT, where he was previously vice president for open learning, overseeing initiatives such as OpenCourseWare, MITx, and the Jameel World Education Lab. He cofounded the Auto-ID Center at MIT, where he developed several key technologies behind the Electronic Product Code RFID standards, and was the founder and CTO of OATSystems. He serves on the boards of Rekor, Aclara Resources, GS1 US, and several startups. Sarma has a bachelor’s degree from the Indian Institute of Technology, a master’s degree from Carnegie Mellon, and a doctorate from the University of California, Berkeley.
Voting History
| Statement | Response |
|---|---|
| Organizations are sufficiently expanding risk management capabilities to address AI-related risks. Strongly disagree |
“I am finding that most organizations are confused about AI. Is it an opportunity? Is it a risk? If it is a risk, is it a competitive risk? Is it an existential risk? Is there a cybersecurity risk from AI? Is there a risk from our employees using it? (Should we let them?) Is there a risk from our vendors using it? For example, what if they generate code using AI — is it bulletproof? How about the risk from our experiments with AI use in a chatbot, say? Does the potential upside create a downside risk of the chatbot going rogue? See, for example, the article “Air Canada Ordered to Pay Refund Its AI Chatbot Mistakenly Offered a Customer.” The massive range of risks seems to be leading to analysis paralysis. Where to start? How to start? What are the low-hanging fruits?
All this means that AI risk has not been properly assessed. A good measure of risk is when it shows up in a risk and audit heat map (impact versus likelihood). I am not seeing that happen. Currently, companies have not successfully captured the risk landscape to put it in such a heat map.” |