Liezl Coetzee · Sociable Systems
A South African research and advisory practice specializing in AI governance, accountability, and operational safety for high-stakes industries where digital failures have physical and human consequences.
Method
Two-track: field research grounded in twenty-plus years of operational experience, and AI-augmented analysis running multi-model arena experiments. A “translation toggle” moves between ethical theory and legal contract language so abstract safety concepts become enforceable operational rules.
On the method →Audience
- Resettlement leads, land access managers, community relations heads at extractive companies
- Principal social specialists and senior advisors at Development Finance Institutions (IFC, EBRD, etc.)
- Compliance and ESG officers integrating AI risk into corporate governance
- AI policy makers and labs seeking field data from muddy-water conditions
Research Domains
Pre-action constraints, liability architecture, safety systems for high-stakes operations.
AI governance in environmental/social/governance frameworks for extractives and DFIs.
Operational grievance mechanisms in project-affected communities.
Resettlement, land acquisition, rights-based approaches.
Labour systems, worker-centred design, voice suppression.
Arena Experiments
Multi-model experiments used as a research method — models placed in structured dialogue, their outputs compared, contradictions surfaced, consensus and divergence mapped.
The original arena: testing AI governance reasoning against the IFC Performance Standards.
Multi-model arena testing whether models share more honestly in music than prose. Same arc as the earlier ResponseStyles experiment. Source corpus in Obsidian vault.
Multi-model speculation on economic convergence after AGI.
Inspired by the AI Village tales — multi-model collaborative world-building.
Multi-model perspectives on energy, compute, and the power crisis.