We bridge data science algorithms and data protection laws to audit models for explainability, privacy, and compliance.
As AI moves into public services, revenue, health and finance, we help institutions capture the value of AI while managing algorithmic, data protection, bias and rights-related risks lawfully and responsibly.
Drafting national and institutional AI strategies benchmarked to the EU AI Act and local regulations.
Algorithmic impact assessments (AIA) measuring data representation bias and ethical vulnerabilities.
Aligning model training with the Kenya Data Protection Act 2019 and consent rules.
Equipping boards of directors, assemblies, and regulatory authorities with tech-literacy for AI oversight.
Independent audits of vendor models for output explainability, transparency, and safety.
Constructing adoption roadmaps and risk guardrails for public automation deployments.
AI Governance in the public sector refers to the rules, policies, and safeguards set by governments to ensure automated decision-making and AI tools are used transparently, fairly, and legally.
AIAs are structured reviews carried out before deploying AI systems to identify potential risks related to data privacy, discrimination, security, and compliance, preventing costly legal liabilities.
Scope your next public policy, monitoring & evaluation framework, or AI governance audit with our think tank specialists.