Ramayya Krishnan
Ramayya Krishnan
W. W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at Carnegie Mellon University
Track: Analytics Leadership
The Quintessential AI challenge: Operationalizing AI Responsibly
The last year has seen dramatic developments in AI technology. AI is being integrated into enterprise applications (e.g., co-pilots) and generative AI is offering up new opportunities for conversational user interface. Hand in hand with these developments has been the recognition that AI systems pose a number of societal challenges (safety, reliability, copyright protection, among others) that need to be addressed prior to deployment. Safety, security and data privacy have emerged as important risks that need to be mitigated. Policy makers have responded with executive orders and new laws (e.g., Pres. Biden’s EO and the EU’s AI act). The National Institute of Standards and Technology (NIST) has developed the AI Risk Management Framework (AI RMF) and stood up an AI safety institute. This fireside chat will set the technology and policy context and discuss how organizations should think about the opportunities and risks that arise when deploying AI in consequential applications.