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Algorithmic Impact Assessment

A systematic process to evaluate the potential social, ethical, economic and legal impacts of deploying an algorithmic system before and during implementation.

In plain language

Before launching an AI system, you study what could go wrong and who might be affected. Similar to an environmental impact study before building a factory, but applied to technology deployment.

Why this matters

Impact assessments are a core governance requirement. Most regulatory frameworks either require or strongly recommend them before deploying significant AI systems. Establishing a consistent impact assessment process across your organisation is essential to demonstrate responsible governance.

Relevance

Governance

Impact assessments provide the evidence base for governance approval decisions and demonstrate to regulators and stakeholders that organisations have thoughtfully considered consequences of their AI systems.

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