Resource Tags
Content Types:
Guidance
Relevant Driver(s):
Specific Action(s):
1D. Ensure compliance with legal obligations
2B. Create governance frameworks
2C. Collect and use diversity data
3A. Understand legal obligations
3B. Develop equality and human rights policies
4A. Collect and analyse equality data consistently
4B. Engage with lived experience and work meaningfully with communities
5A. Put in place comprehensive training programmes
Implementation Levels:
Advanced
Prior Knowledge Required:
Advanced
Organisation Size:
Large
Medium
Small
Sector:
Culture and Heritage
Education
Emergency Services
Environment
Government
Health and social care
Housing
Human Rights
Justice
Local authorities
Third Sector
Transport
Role:
Legal & Compliance Staff
Senior Leaders/Management
Resource content
A technical guide explaining how data protection’s fairness rules apply to AI systems, covering how to reduce bias, make algorithms fair and protect people from automated decisions under UK GDPR.
To get the most from this resource
To get the most from this resource:
Review any current Artificial Intelligence systems using the fairness principles
Include fairness questions in Artificial Intelligence procurement decisions
Share key principles with technical and policy staff
Check Artificial Intelligence decisions regularly for bias or unfair outcomes
Start with simple monitoring of Artificial Intelligence systems you already use