10/09/2026
The challenge with AI governance is not simply putting more controls in place. It is knowing what level of oversight is appropriate, and who remains accountable when things go wrong.
That was at the heart of ๐๐๐ฃ๐๐๐๐ฃ๐ ๐๐ฃ๐ ๐๐ค๐ซ๐๐ง๐ฃ๐๐ฃ๐ ๐ผ๐ ๐๐ฎ๐จ๐ฉ๐๐ข๐จ: ๐๐ช๐ง๐ฃ๐๐ฃ๐ ๐ผ๐ ๐ผ๐ข๐๐๐ฉ๐๐ค๐ฃ ๐๐ฃ๐ฉ๐ค ๐ผ๐๐๐ค๐ช๐ฃ๐ฉ๐๐๐ก๐ ๐ผ๐๐ฉ๐๐ค๐ฃ, a panel session held in collaboration with TechLaw.Fest, which explored how organisations can govern AI responsibly without slowing innovation.
What this means in practice:
โข Match governance to risk, with stronger safeguards for higher-impact use cases
โข Govern after launch, with continuous monitoring as AI systems evolve
โข Define accountability, even when responsibility is shared
โข Set clear guardrails, because avoiding AI does not eliminate its risk
A big thank you to everyone who joined us, and to our panellists ๐ ๐ ๐๐ฒ๐ผ๐ ๐๐ถ๐ฎ๐บ๐ถ๐ป (Deputy Director (Legal Faculty), ๐ฆ๐ถ๐ป๐ด๐ฎ๐ฝ๐ผ๐ฟ๐ฒ ๐๐ฐ๐ฎ๐ฑ๐ฒ๐บ๐ ๐ผ๐ณ ๐๐ฎ๐), ๐ ๐ ๐ก๐ฎ๐ฑ๐ถ๐ป๐ฒ ๐ฌ๐ฎ๐ฝ (Principal Lecturer & Consultant, Digital Products & Platforms Practice, ๐ก๐จ๐ฆ-๐๐ฆ๐ฆ), ๐ ๐ฟ ๐ก๐ด ๐๐ผ๐ธ ๐๐ฒ๐ผ๐ป๐ด (Principal Lecturer & Consultant, AI Strategy & Organizational Transformation Practice, ๐ก๐จ๐ฆ-๐๐ฆ๐ฆ), and our moderator, ๐๐ฟ ๐ง๐ถ๐ฎ๐ป ๐๐ถ๐ป๐ด (Principal Lecturer & Consultant, Artificial Intelligence Practice, ๐ก๐จ๐ฆ-๐๐ฆ๐ฆ) for a thought-provoking discussion on balancing innovation with risk, responsibility and accountability in AI adoption.