Part 10/13:
A recurring theme was responsible AI, vital for ensuring ethical, fair, and safe AI deployment—especially with generative AI models prone to hallucinations or biases. He observed that many capability centers focus on skill-building but often overlook governance frameworks—like data governance, bias testing, and algorithm fairness—that are crucial in today’s AI landscape.
Incorporating governance into training and operational practices ensures AI solutions are trustworthy and aligned with organizational values. Building these guardrails proactively is essential for sustainable, responsible AI growth.
Closing Remarks and Q&A