Executive Programme 2026
AI Ethics in Legal Practice:
Governance, Accountability, and Regulatory Readiness
Speaker’s Profile
Professor Dov Greenbaum
Director of the Zvi Meitar Institute
Professor Dov Greenbaum directs the Zvi Meitar Institute for Legal Implications of Emerging Technologies at Reichman University, where his research focuses on AI governance, genomic privacy, and cyberbiosecurity. He serves on the Israeli Government Expert Forum on AI Policy and holds CIPP/E certification. Dov holds a PhD in Genetics/Bioinformatics from Yale and a JD from UC Berkeley, and is admitted to the California Bar and registered before the USPTO. He is also a Research Affiliate in Molecular Biophysics and Biochemistry at Yale University. He has published nearly 200 works spanning AI regulation, biotechnology law, and emerging technology governance.
A practical framework for lawyers advising senior executives responsible for AI governance, focused on the ethical concepts now embedded in regulatory obligations and how to make AI decisions explainable, auditable, and legally defensible.
This 3-hour workshop equips Singapore-based lawyers — particularly those advising compliance officers, governance professionals, and senior executives — with a practical framework for managing AI ethics inside organizations. Rather than treating ethics as abstract philosophy, the session focuses on how lawyers ought to advise clients on what they must document, monitor, and defend when AI systems are deployed in real business environments.
The seminar examines the full AI governance lifecycle: data provenance, fairness trade-offs, human oversight, agentic AI, vendor governance, kill-switch protocols, AI washing, incident response, cross-border compliance, and director/officer accountability.
Particular attention is given to the lawyer’s role in advising the executive responsible for AI governance, an emerging position increasingly mandated or encouraged across regulatory frameworks, from the EU AI Act’s requirement for designated responsible persons to Singapore’s Model AI Governance Framework’s emphasis on senior-level accountability. Lawyers advising this executive on aligning AI systems with organizational values, regulatory expectations, and board-level risk oversight must understand the full scope of that role, which sits at the intersection of every topic this seminar covers.
Participants will leave equipped to advise clients on building governance infrastructure that makes AI decisions explainable, auditable, and defensible before regulators, customers, boards, and the public. The seminar is built on the premise that AI ethics is about delegation of authority, accountability rebound, and governance systems that survive crisis: all areas where legal counsel plays a central role.
Date:
Tuesday 7th July 2026 – 2.30 pm to 5.45 pm
Duration:
Total 3 hours
Location:
Assas campus, Singapore
Online attendance is also available
Programme Overview
Tuesday 7th July 2026
(1.5 hours)
This module introduces AI ethics as a governance problem of delegated authority. It examines why AI creates distinctive executive risk through opacity, scale, adaptation, and emergent behavior. Participants will consider how lawyers guide the executive responsible for AI governance through defining system objectives, documenting fairness and accuracy trade-offs, assigning ownership, and ensuring that human oversight is meaningful rather than symbolic. The session also covers agentic AI, human-in-the-loop failures, data provenance, fairness position statements, and the governance documents needed before deployment.
(1.5 hours)
This module moves from principles to implementation. Participants will work through the operational responsibilities that lawyers must help the AI governance executive navigate, with emphasis on three areas where governance most often fails in practice: vendor and shadow AI oversight, where organizations frequently deploy AI systems without centralized visibility; kill-switch protocols and model drift monitoring, where the gap between policy and operational readiness is widest; and AI incident response, where the first 48 hours determine regulatory and reputational outcomes. The session also addresses AI washing risks, board-level reporting obligations, and how lawyers can help Singapore-based organizations build governance systems that support innovation while remaining regulator-ready and crisis-resilient.
Fees:
- Early Bird Price: SGD 290 or EUR 200
→ Early Bird Deadline: 23 June 2026 - Regular Price: SGD 350 or EUR 240
→ Registration Deadline: 30 June 2026
CPD Accreditation:
CPD points: 3 Public CPD Points
Practice area: Telecommunications, Media &
Technology
Training category: General
Participants who wish to obtain CPD Points are reminded that they must comply strictly with the Attendance Policy set out in the CPD Guidelines. For participants attending the face-to-face activity, this includes signing in on arrival and signing out at the conclusion of the activity in the manner required by the organiser, and not being absent from the activity for more than 15 minutes. For those participating via the webinar, this includes logging in at the start of the webinar and logging out at the conclusion of the webinar in the manner required by the organiser, and not being away from the activity for more than 15 minutes. Participants who do not comply with the Attendance Policy will not be able to obtain CPD Points for attending the activity. Please refer to https://www.silecpdcentre.sg/EventDetails/?EventID=7689 for more information.
