Engagement
Advisory and architectural work on delegated authority, generative AI systems, fiduciary risk, and epistemic accountability in institutional decision-making.
Mandate
The practice advises boards, senior counsel, regulators, and institutional leaders on the design, allocation, and defence of authority in technology-mediated decision systems.
Its focus extends beyond optimisation-based AI to emerging generative architectures, where systems may encounter, interpret, or reconstruct their governing evaluative standards.
Typical matters include:
- allocation and traceability of responsibility in AI-mediated and agentic systems;
- fiduciary and governance implications of embedded optimisation and decision infrastructures;
- design of admissibility conditions (what must hold before a system may act);
- architectures for contestability, override, and epistemic audit;
- governance of systems operating under distributional shift or epistemic rupture;
- design and evaluation of generative systems capable of revising inherited standards;
- regulatory posture, liability exposure, and litigation defensibility;
- structural exposure under conditions of constrained exit or infrastructural dependence.
Advice is analytical and architectural. It addresses whether institutional authority remains legally, epistemically, and operationally defensible as decision-making becomes embedded in technical systems.
Forms of Engagement
Engagements are typically at board, executive, or regulatory level, and concern matters with structural, fiduciary, or long-horizon liability implications.
- strategic advisory and governance architecture design;
- independent expert opinion and litigation support;
- regulatory and policy advisory (including standards development);
- confidential briefings for boards and senior leadership;
- keynote lectures and invited talks on AI governance and epistemic systems;
- research collaborations and institutional partnerships.
Work is selective and does not involve routine implementation or volume consulting.
Relationship to Scholarship
Advisory work is grounded in an ongoing research programme on delegated authority, epistemic responsibility, and the governability of complex technical systems.
This includes recent work on generative epistemic architectures, rupture, and the conditions under which systems may move beyond optimisation into standard-revising behaviour.
The framework enables advice that remains legible before courts, regulators, and supervisory bodies, while engaging directly with the technical realities of contemporary AI systems.
Enquiries
For engagement enquiries, including advisory, expert opinion, or speaking invitations, please use the contact page.