KARMA warns poor records management could undermine Kenya’s AI adoption
NAIROBI, Kenya, Oct 30 – Kenya’s adoption of artificial intelligence (AI) in government and business operations risks producing unreliable outcomes unless institutions first address weaknesses in records management, the Kenya…
Nairobi, Kenya – The Kenya Association of Records Managers and Archivists (KARMA) has cautioned that poor records management could jeopardize Kenya's adoption of artificial intelligence (AI) in government and business practices. KARMA Secretary General Collins Mutimba emphasized the importance of addressing inadequate records management systems before organizations embrace AI technologies.
Mutimba explained that unreliable records could lead to AI-generated data that undermines decision-making, accountability, and public service delivery. Speaking at the upcoming KARMA 10th Annual Records Management Conference in November 2026, Mutimba underscored that AI systems are only as dependable as the information they process, and highlighted the necessity of data quality, digitization, and robust information governance prior to AI implementation.
The conference, themed 'AI-Ready Records for Smart Content-Based Governance', brings together experts to address the critical role of records management in the era of automated systems. KARMA stresses that effective records management is not only essential for the quality and security of information but also pivotal to economic success, as it enables accurate decision-making and efficient public service delivery.
Despite recent advancements in e-government and electronic records management, Kenya continues to grapple with fragmented information systems, insufficient funding, skill deficiencies, and a continued reliance on paper-based records. The association urges increased investment, robust policy frameworks, and recognition of records management professionals to facilitate a smoother transition to AI-driven operations.
It also advocates for closer cooperation with government entities to enhance professional training, digitization efforts, and responsible AI integration.
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