Part 5/13:

A significant portion of responsible AI involves ensuring that systems are fair and transparent. Harish emphasizes that fairness isn't just about regulatory compliance but central to trustworthy AI. Transparency entails clear documentation of how data is processed and decisions are made, enabling audits and human oversight.

He advocates for the implementation of data privacy regulations—such as GDPR or similar frameworks—focused on protecting users rather than just preventing leaks. This involves designing systems where user data is only accessible to what’s strictly necessary, minimizing exposure.

Data Types and Their Responsible Management

Harish provides an expansive overview of the various data types involved: