What are the key regulatory developments regarding AI fairness assessments in financial services as mentioned in the chapter?
Key regulatory developments regarding AI fairness assessments in financial services include the incorporation of AI fairness assessments by the OCC into bank examinations, the EU's AI Act classifying credit scoring systems as high-risk, and the UK's FCA launching an Algorithmic Processing Unit to monitor AI systems. These efforts reflect a growing recognition of the systemic risks posed by biased AI systems.
Regulatory bodies are increasingly focusing on AI fairness in financial services due to the potential for systemic risks and discrimination. In the United States, the Office of the Comptroller of the Currency (OCC) has started including AI fairness assessments in its regular bank examinations. The European Union's AI Act, expected to be fully implemented by 2025, will categorize credit scoring systems as high-risk AI applications, requiring them to undergo fundamental rights impact assessments. In the UK, the Financial Conduct Authority (FCA) has established an Algorithmic Processing Unit to specifically monitor AI systems used in financial services. These initiatives highlight the importance of addressing algorithmic bias to prevent widespread discrimination and ensure compliance with regulatory standards.
Key points
- OCC includes AI fairness assessments in bank examinations.
- EU's AI Act classifies credit scoring systems as high-risk.
- UK's FCA launches Algorithmic Processing Unit for AI monitoring.
- Regulatory focus on systemic risks and discrimination from biased AI.
- Efforts reflect growing recognition of AI's impact on fairness in finance.
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AI and ML Governance in Financial Services
Richard Gwashy Young
Routledge, Taylor & Francis Group