Moving responsible AI from pilot to enterprise-wide adoption

As AI adoption advances rapidly, enterprise leaders often struggle to manage potential risks like biased algorithms and security breaches. The fallout from these issues can be devastating, leading to reputational damage and legal liabilities. These challenges underscore the importance of implementing responsible AI principles in every phase of AI development.

By establishing guardrails early on, organizations can mitigate risks, foster trust with customers, distinguish themselves from competitors, and pave the way for long-term innovation.

Sreekanth Menon, Genpact's global AI/ML leader, shared best practices on building trust in the age of AI with over 100 analytics and AI leaders at MachineCon in NYC.

Watch the recording below to discover strategies for establishing a responsible AI framework.