Key considerations for AI use at your financial institution
Artificial intelligence (AI) is poised to play an increasingly pivotal role in financial institutions. To ensure its responsible and secure application, banks must adopt a well-structured approach to AI governance. This includes establishing clear standards for approved tools, maintaining strong human oversight and employee training, upholding ethical principles, meeting legal and regulatory obligations, ensuring […]
Artificial intelligence (AI) is poised to play an increasingly pivotal role in financial institutions. To ensure its responsible and secure application, banks must adopt a well-structured approach to AI governance. This includes establishing clear standards for approved tools, maintaining strong human oversight and employee training, upholding ethical principles, meeting legal and regulatory obligations, ensuring transparency in decision-making, and carefully managing third-party integrations.
Acceptable AI Use Considerations
APPROVED AI TOOLS
Banks should maintain a list of approved AI tools that have been thoroughly vetted for security, compliance, and reliability. This process involves establishing clear criteria for selecting vendors and partners, including a balanced evaluation of their value against potential cyber and compliance risks. Additionally, banks should conduct regular risk assessments and periodic audits of these tools to ensure ongoing compliance and alignment with the bank’s high standards for security and regulatory integrity
Ethical & Fairness
AI systems could unintentionally reinforce biases, potentially leading to discriminatory practices, particularly in areas like credit scoring or loan approvals. AI tools must be rigorously tested and monitored to ensure they are free from biases related to race, gender, age, disability, or other protected characteristics. AI systems must never be used to manipulate, deceive, or harm customers, especially in sensitive areas such as personal finance and privacy.
Transparency & explainability
Transparency is essential for building customer trust in AI-driven decisions. Banks should inform customers whenever AI is involved in decision-making processes, such as loan applications or credit evaluations, and emphasize openness in data handling. This includes clearly specifying what data is collected, the purpose of its use, and how it influences decision outcomes.
Human oversight & training
Banks should clearly define situations where human oversight is required, such as adverse lending decisions, to ensure fairness and accountability. Employee responsibilities should also be outlined, emphasizing the importance of monitoring AI systems for potential errors, biases, and anomalies. Additionally, all employees working with AI tools should receive comprehensive training to understand their role in upholding ethical and compliant AI use, fostering a balance between technological efficiency and responsible oversight.
AI tools must comply with banking-specific laws, including the Gramm-Leach-Bliley Act (GLBA), which mandates the protection of Non-Public Personal Information (NPI). Compliance requirements should also encompass the Bank Secrecy Act (BSA) and the Equal Credit Opportunity Act (ECOA) to ensure comprehensive adherence to regulatory standards
Legal & regulatory
AI tools must comply with banking-specific laws, including the Gramm-Leach-Bliley Act (GLBA), which mandates the protection of Non-Public Personal Information (NPI). Compliance requirements should also encompass the Bank Secrecy Act (BSA) and the Equal Credit Opportunity Act (ECOA) to ensure comprehensive adherence to regulatory standards.
AI embedded in 3rd party apps
Many banks rely on third-party solutions that incorporate AI technologies. Banks should require vendors to comply with the bank’s AI Use Policy and any applicable regulations, including GLBA, BSA & ECOA. To ensure alignment, additional procedures should be integrated into the third-party vendor due diligence process, including compliance assessments and contract language that specifically address AI usage, data protection, and regulatory adherence.
Connect with me at raj@fincybertech.com for help with safe use of AI at your financial institution or for a sample AI use policy.
