Without deliberate design interventions, every AI product or service WILL be biased. This workshop helps product teams build fair AI
systems that protect vulnerable stakeholders whilst maintaining business value.
Bring together a cross-functional teams Data Science, Product, Design, Engineering, Legal, D&I, and Domain Experts.
At the end of this workshop, you will have:
Clear fairness definition aligned with business goals and legal compliance
Comprehensive stakeholder map identifying vulnerable groups and edge cases
Risk assessment prioritising where bias mitigation is most critical
Actionable intervention plan with layered protections (immediate, short-term, medium-term)
Minimum Viable Fairness (MVF), the bare minimum to deploy without causing harm - that will help inform you test planning.
Ownership and accountability with clear owners, timelines, and success metrics
Reusable framework where Boards 1 and 2 become your organisation's bias mitigation playbook
