Topic

Automated Decision-Making

Automated decision-making refers to systems that use algorithms or AI to make or significantly influence decisions with minimal human involvement, often in high-stakes domains like hiring, lending, benefits eligibility, and content moderation. Enterprise AI governance frameworks must scrutinize these systems for bias, transparency, and accountability since they can perpetuate discrimination and limit individuals' ability to contest outcomes. Regulatory requirements like the EU AI Act and emerging fairness legislation increasingly mandate impact assessments, explainability features, and human oversight mechanisms for automated decisions affecting fundamental rights.

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ResearchUK2026-07-08

DAMA UK Case Study Makes the Case for Purchase Order Gateways and 10/20/70 Investment to Fix AI Governance's People Problem

DAMA UK has published a case study titled 'Data Governance in the AI Era' recommending that organizations build audit trails from day one, formalize DPO collaboration with AI governance teams, and adopt the NIST AI RMF and ISO 42001 as risk management frameworks. The study introduces two practical implementation mechanisms: the 10/20/70 model, which directs 70 percent of AI investment toward people and process rather than technology, and Purchase Order Gateways, which make governance approval a precondition for project funding. The guidance is aimed at UK organizations but carries direct relevance for any enterprise building or scaling an AI governance program.

DAMA UK audit trails ISO 42001 NIST AI RMF data governance automated decision-making DPO collaboration procurement governance