1、AI tools in Audit outcomes report November 2024 recruitment 2 Contents Executive summary-3 Introduction-4 Key recommendations-6 Methodology-9 Impact-12 Summary of findings-13 Data minimisation and purpose limitation-13 Using personal information to train and test AI-18 Accuracy,fairness,and bias mit
2、igation in AI-20 Transparency-25 Privacy trade-offs within AI-29 Human reviews in AI-32 DPIAs and risk management-34 Information security and integrity-38 Management frameworks-41 Third party relationships-47 3 Executive summary The ICO have carried out consensual audit engagements with developers a
3、nd providers of artificial intelligence(AI)powered sourcing,screening,and selection tools used in recruitment.We recognise that the use of AI tools in recruitment processes can offer benefits to employers,but their use can also lead to risks for people and their privacy and information rights.We und
4、ertook this work as part of our upstream monitoring of the wider AI ecosystem to understand how the development and provision of AI recruitment tools complies with UK data protection law.Our audits found areas for improvement in data protection compliance and management of privacy risks in AI as wel
5、l as areas of good practice.We recommended actions both to improve compliance with data protection law and promote the good practices in our published guidance.Many providers monitored the accuracy and bias of their AI tools and took action to improve them.However we did witness instances where ther
6、e was a lack of accuracy testing.Additionally,features in some tools could lead to discrimination by having a search functionality that allowed recruiters to filter out candidates with certain protected characteristics.Others estimated or inferred peoples gender,ethnicity,and other characteristics f