Responsible AI adoption
Practical principles for selecting, deploying and reviewing AI systems with clear ownership and human accountability.
AI governance in Africa
Help institutions adopt AI without losing trust, accountability or human agency.
ACAIF works with leaders, public institutions, employers, universities and partners on the practical governance questions that arise when AI moves from experiment into real decisions, services and workplaces.
What the work covers
Governance that can survive contact with real institutions.
ACAIF approaches AI governance as an institutional capability question. Boards and leaders need to know what AI is being used for, which decisions require human oversight, how data is handled, what risks are acceptable and how the organisation will explain outcomes to the people affected.
Data governance + trust
How institutions handle data, privacy, access, quality and stewardship as AI becomes part of operational decision-making.
Board + public accountability
Questions boards, executives and public leaders need to ask before AI materially changes services, work or rights.
Who this is for
Institutions making consequential AI decisions.
The work is relevant to governments, public agencies, banks, employers, universities, technology providers, development partners and boards that need to move from AI enthusiasm to accountable implementation.
Governance, public service, data, cyber resilience, procurement, human oversight and institutional trust.
AI adoption, workforce redesign, decision rights, accountability and the connection between productivity and human opportunity.
Applied research, evidence, convening and institution-level learning around responsible AI in African contexts.
Work with ACAIF