Abstract:
Hansard — the official verbatim record of parliamentary proceedings — is the backbone of legislative transparency and public accountability across Africa. Yet in many national parliaments and, acutely, in sub-national assemblies, Hansard production is slowed by manual transcription, editorial backlogs, staffing and cost pressures, multilingual proceedings, and uneven publication. The result is delayed, incomplete, or inaccessible records that weaken citizens' ability to follow how they are governed.

Recent developments show a clear opportunity for the use Artificial Intelligence (AI) in enhancing parliamentary session recordings in African states. At the 8th Hansard Association of Kenya (HAK) Conference held in Kisumu, Kenya, 10-16 May 2026, parliamentary (county and national) reporters, clerks, and digital experts examined how Artificial Intelligence — automatic speech recognition, speaker diarisation, machine translation for African languages, and searchable digital archives — can move Hansard from a slow, retrospective document toward a near real-time, discoverable, accurate, transparent and inclusive public record.

The Conference brought together participants from African countries including: Ghana, Nigeria, Uganda, Tanzania and Lesotho. The participants confronted the harder questions: accuracy and the legal status of an AI-assisted verbatim record, accountability and human oversight, data sovereignty over sensitive parliamentary data, and the risk of widening the gap between well-resourced national parliaments and under-resourced county, provincial or state assemblies in African countries.

Session Objectives:
(1) Share evidence and lessons from the HAK Conference 2026 and the African countries assemblies experience on the current state of Hansard production and the readiness of AI to support it.
(2) Map the practical challenges African parliaments face — transcription backlogs, cost and staffing, multilingual proceedings, and unequal capacity between national and sub-national assemblies.
(3) Examine the AI toolchain realistically: automatic speech recognition, speaker diarization, African-language support, real-time captioning, and searchable archives — including where the technology is strong and where it still fails.
(4) Address governance head-on: accuracy standards, human-in-the-loop verification, the legal and evidentiary status of an AI-assisted record, data protection, and sovereignty over parliamentary data.
(5) Identify shared, adaptable approaches — standards, procurement, capacity building, and cross-parliamentary cooperation — that smaller and larger legislatures can both use.
(6) Generate interest and build consensus on a roadmap for establishing a Pan African Hansard Forum or Platform to bring together key stakeholders from across African countries.

Expected Outcomes:
• A concise set of shared principles for trustworthy, human-supervised, AI-assisted Hansard suitable for adaptation by African parliaments.
• A practical challenge-and-opportunity map distinguishing national and sub-national needs.
• Identified opportunities for cross-parliamentary cooperation, capacity building, and open African-language speech and translation resources.
• A short session report contributing to the AfIGF 2026 outcomes and the Parliamentary Track's ongoing work, with a view to follow-up at national and regional forums.