DATA GOVERNANCE FRAMEWORKS FOR AI IMPLEMENTATION IN BANKING: ENSURING COMPLIANCE AND TRUST
Keywords:
Data Governance, Artificial Intelligence (AI), Banking, Regulatory Compliance, Transparency And AccountabilityAbstract
The adoption of Artificial Intelligence (AI) in the banking industry has the potential to deliver significant benefits, but it also poses new challenges in terms of data governance. This article explores the importance of effective data governance frameworks for ensuring the integrity, security, and ethical use of data in AI implementations within the banking sector. It highlights the regulatory landscape, including the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), and the financial implications of non-compliance. The article discusses key principles of data governance for AI in banking, such as establishing clear policies, ensuring data quality, implementing access controls, and addressing data privacy and security concerns. It also emphasizes the importance of ethical considerations and the need for rigorous testing and monitoring of AI models. The article further examines best practices for integrating AI into existing data governance frameworks, including conducting risk assessments, establishing dedicated governance structures, defining roles and responsibilities, and investing in staff training. Finally, it underscores the importance of transparency and accountability in building trust among stakeholders and fostering a positive perception of AI adoption in the banking industry.
References
Global Association of Risk Professionals (GARP), "The State of AI Adoption in Banking," GARP Risk Intelligence Quarterly, vol. 2, no. 3, pp. 12-18, 2022.
European Union, "Regulation (EU) 2016/679 of the European Parliament and of the Council," Official Journal of the European Union, vol. 59, pp. 1-88, May 2016.
State of California, "California Consumer Privacy Act of 2018," Assembly Bill No. 375, June 2018.
Information Commissioner's Office (ICO), "Intention to fine British Airways £183.39m under GDPR for data breach," ICO News, Jul. 2019. [Online]. Available: https://ico.org.uk/about-
the-ico/news-and-events/news-and-blogs/2019/07/ico-announces-intention-to-fine-british-airways/
Federal Trade Commission (FTC), "FTC Imposes $5 Billion Penalty and Sweeping New Privacy Restrictions on Facebook," FTC Press Release, Jul. 2019. [Online]. Available: https://www.ftc.gov/news-events/press-releases/2019/07/ftc-imposes-5-billion-penalty-sweeping-new-privacy-restrictions
McKinsey & Company, "AI-bank of the future: Can banks meet the AI challenge?" McKinsey Global Banking Annual Review, pp. 1-36, Sep. 2020.
A. Patel and B. Johnson, "Establishing Data Governance Frameworks for AI in Financial Services," in Proc. IEEE International Conference on Artificial Intelligence and Data Analytics,
, pp. 456-462.
Bank for International Settlements (BIS), "AI governance in banking," BIS Working Papers, no. 963, pp. 1-28, 2021.
Gartner, "How to Create a Business Case for Data Quality Improvement," Gartner Research, pp. 1-12, 2019.
Ponemon Institute, "Cost of a Data Breach Report 2021," Ponemon Institute Research Report, pp. 1-54, 2021.
M. Lee, "Ensuring Data Privacy and Security in AI-Driven Banking," Artificial Intelligence Review, vol. 15, no. 6, pp. 789-802, 2021.
Accenture, "The Cost of Cybercrime," Accenture Security, pp. 1-56, 2019.
R. Singh and K. Patel, "Ethical Considerations for AI in Banking: Mitigating Bias and Ensuring Fairness," Journal of Business Ethics, vol. 8, no. 3, pp. 345-358, 2022.
University of California, Berkeley, "Bias in AI Lending Algorithms," Berkeley Law Review, vol. 97, no. 4, pp. 1023-1078, 2020.
Accenture, "AI Ethics and Transparency in Financial Services," Accenture Banking Blog, Jun. 2021. [Online]. Available: https://bankingblog.accenture.com/ai-ethics-transparency-financial-services
T. Gupta, "Integrating AI into Banking Data Governance: Challenges and Opportunities," in Proc. IEEE International Conference on Data Governance and Security, 2021, pp. 234-241.
Deloitte, "AI Risk Management in Financial Services," Deloitte Insights, pp. 1-20, 2021.
PWC, "AI in Financial Services: A Regulatory Perspective," PWC Insights, pp. 1-15, 2022.
S. Patel, "Best Practices for AI Governance in the Banking Industry," Banking Technology Review, vol. 12, no. 4, pp. 567-579, 2023.
Institute of International Finance (IIF), "Governance of Artificial Intelligence in Financial Services," IIF Report, pp. 1-32, 2021.
EY, "Harnessing the Power of AI in Financial Services," EY Insights, pp. 1-24, 2022.
KPMG, "AI Audit and Assurance in Financial Services," KPMG Insights, pp. 1-18, 2023.
IBM, "The AI Ladder: Accelerating Your Journey to AI," IBM Institute for Business Value, pp. 1-28, 2021.
L. Chen and H. Wang, "Transparency and Explainability in AI-Driven Banking Services," Journal of Consumer Affairs, vol. 23, no. 1, pp. 112-128, 2022.
Capgemini Research Institute, "Trust in AI: Building Trusted and Transparent AI Systems," Capgemini Insights, pp. 1-16, 2022.
Accenture, "Responsible AI in Financial Services," Accenture Insights, pp. 1-28, 2023.
European Commission, "General Data Protection Regulation (GDPR)," Official Journal of the European Union, vol. 59, pp. 1-88, May 2016.
D. Sharma, "Building Trust in AI: The Role of Accountability in Banking," Artificial Intelligence and Society, vol. 19, no. 5, pp. 678-691, 2024.
EY, "AI Governance and Risk Management in Financial Services," EY Global Banking and Capital Markets, pp. 1-20, 2023.
Deloitte, "The Future of AI Governance in Banking," Deloitte Center for Regulatory Strategy, pp. 1-24, 2024.
M. Singh and R. Patel, "Ethical AI in Banking: Principles and Practices," Journal of Business Ethics, vol. 11, no. 2, pp. 234-249, 2024.
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