Among the recommendations are the introduction of suitability requirements for AI-driven financial services, and add-on capital buffers based on AI algorithms. The OECD has published a new report offering policy recommendations to ensure the use of artificial intelligence (AI), machine learning (ML) and big data in finance is consistent with financial stability, consumer protection, and market integrity and competition objectives. While noting that AI can drive competitive advantages for financial firms, improve their efficiency, and enhance services for consumers, the report says AI applications in finance may create or intensify financial and non-financial risks, and give rise to potential financial consumer and investor protection concerns around the fairness of consumer results, data management and data usage. The report says emerging risks from the deployment of AI techniques need to be identified and mitigated to support and promote the use of responsible AI, and existing regulatory and supervisory requirements may need to be clarified and adjusted to address incompatibilities of existing arrangements with AI applications. In particular, policymakers should consider sharpening their focus on better data governance by financial sector firms to reinforce consumer protection across AI applications in finance, and address risks related to data privacy, confidentiality, concentration of data, and unintended bias and discrimination.