Algorithmic Decision-Making
Enable organisations to design, govern and review automated and algorithmic decisions about people so that they are lawful, explainable, fair, contestable, appropriately supervised and properly recorded.
Upcoming course. LMS delivery and enrolment are not open. Release dates will be confirmed.
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Planned learning outcomes
- Classify automated decisions by degree of automation, impact and legal basis
- Design explanations and statements of reasons suited to affected people and reviewers
- Assess algorithmic decisions for fairness using appropriate measures and tests
- Design contestability pathways, including review and remediation at scale
- Specify meaningful human intervention that counters automation bias
- Define recordkeeping and audit trail requirements for automated decisions
- Complete an automated decision impact assessment with proportionate safeguards