Category: AI Governance

Designing Multi‑Agent AI Systems With Guardrails, Not Guesswork

March 19, 2026March 17, 2026by Nigel D'SouzaLeave a comment

Multi-agent systems impress with their ability to act autonomously but can pose risks without clear role definitions. A design charter outlines each agent's tasks, limitations, and escalation rules. By embedding constraints and ensuring oversight, designers can create effective systems that enhance IT support while preventing potentially harmful actions.

How DASUD Governs the Full ML Lifecycle

March 16, 2026March 15, 2026by Nigel D'SouzaLeave a comment

The content discusses the integration of Generative AI into machine learning (ML) governance, emphasising the importance of the Design, Acquire, Store, Use, and Delete stages in the ML lifecycle. It highlights governance practices crucial for responsible AI deployment and how existing frameworks can guide the transition to more complex AI systems.