Part 8/11:
These use cases demonstrate how agents can drastically improve operational efficiency, reduce manual effort, and enhance data quality.
Addressing Risks and Challenges
While optimistic about AI's potential, Malik prudently acknowledges the inherent risks. Relying heavily on autonomous systems introduces concerns around trust, explainability, security, and bias.
He stresses the importance of:
Human oversight: Maintaining human-in-the-loop to monitor agent decisions
Traceability: Ensuring built-in logs and audit trails
Security controls: Implementing role-based access and data masking
Risk mitigation: Guardrails against hallucinations and bias in AI outputs