Ethan Zammit
AI Solutions Engineer
Cleverbit
Data & AI Track
Session Outline:
When the Agent Decides,
who Answers?
Source control records who committed code. It does not record who made the decisions behind it, and that gap is widening as AI agents take on more of the delivery process. This session explores how organisations can adapt accountability models for an AI-assisted development environment, arguing that everything downstream of an agent should be treated as AI-influenced and subject to a consistent verification approach. It examines the distinction between issues that automated controls can reliably detect and the judgement calls that require human ownership, clear accountability, and an auditable decision trail.
The session concludes with a practical framework for determining where human oversight remains essential, including a live demonstration of how teams can maintain meaningful human accountability even when development is increasingly driven by AI agents. Aimed at engineering leaders, CTOs, architects, and anyone navigating the changing relationship between AI, software delivery, and responsibility.
About Ethan
Ethan is an AI Solutions Engineer at Cleverbit Software, where he architects and builds AI-powered systems with a focus on security, scalability and practical business impact. His work spans generative AI, multi-agent systems and context engineering, with a track record of owning solutions end to end, from initial build through to iterative improvement based on real feedback.
Ethan holds an MSc in Artificial Intelligence from the University of Malta, completed with Distinction, and a BSc in Artificial Intelligence with First Class Honours from the same institution. Before moving into AI engineering, he spent several years as a full-stack software developer, giving him a strong foundation in the systems that AI solutions are built on top of.
