Algorithmic Accountability
The requirement that individuals and organisations be responsible for explaining and answering for the outcomes and impacts of algorithmic decision-making, including design, deployment and ongoing operation.
In plain language
Someone has to be responsible for AI decisions. If an AI wrongly denies someone a loan, there must be a person or team who can explain why the AI made that choice and can be held accountable for it.
Why this matters
Regulators and the public increasingly demand that organisations demonstrate accountability for AI decisions. Establishing clear accountability structures is essential for regulatory compliance, particularly as frameworks like the EU AI Act and proposed Australian AI regulations evolve.
Relevance
GovernanceAccountability structures define clear ownership of AI outcomes and create the oversight mechanisms regulators expect to see in responsible AI governance.
Related terms
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