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Intelligent Automation and AI in Banking - Webinar (ONLINE EVENT: March 19, 2025)

  • Webinar

  • 65 Minutes
  • 19 March 2025 13:00 EST
  • Lorman Business Center, Inc.
  • ID: 6051212

Learn how banks can implement AI responsibly with ethical principles, data governance, collaboration, and continuous monitoring.

Many banks are under growing pressure to adopt Intelligent Automation and AI solutions for improved efficiency and customer service. However, without a strong ethical framework, these technologies can introduce data privacy vulnerabilities, algorithmic bias, and lack of transparency, ultimately eroding customer trust, attracting regulatory scrutiny, and damaging brand reputation.

To responsibly implement AI in banking, institutions should embed ethical principles - including fairness, accountability, and transparency - throughout the entire lifecycle of AI projects. Involving: Robust Data Governance (ensuring data privacy and security, as well as regular bias audits), Cross-functional Collaboration (compliance, legal, IT, and risk teams working in tandem), Phased Deployment (running pilot programs and refining models before scaling), and Continuous Monitoring (ongoing oversight, explainability measures, and stakeholder feedback). By proactively addressing these elements, banks can strengthen their reputations, maintain regulatory compliance, and deliver reliable, customer-centric services powered by AI.

Learning Objectives

  • You will be able to identify core use cases of IA and AI banking.
  • You will be able to explain the benefits to banking institutions of using AI.
  • You will be able to review the challenges and risks of using AI.
  • You will be able to discuss future trends in AI banking.

Agenda

Overview
  • Definition of Intelligent Automation (IA) and AI in Banking
  • Brief History and Evolution of AI Adoption in Financial Services
  • Why Ethical Considerations Are Critical (Trust, Reputation, Compliance)
Core Use Cases of IA and AI in Banking
  • Customer Service and Engagement
  • Risk Management and Regulatory Compliance
  • Operational Efficiency
Ethical Considerations and Pitfalls
  • Data Privacy and Security
  • Bias and Fairness
  • Transparency and Explainability
  • Accountability and Governance
Benefits to Banking Institutions
  • Enhanced Customer Experience and Personalized Offerings
  • Reduction of Human Error and Improved Accuracy
  • Cost Savings and Increased Operational Efficiency
  • Opportunity to Build Trust and Brand Reputation Through Responsible AI Practices
Challenges and Risks
  • Data and Model Compliance With Evolving Regulations (GDPR, CCPA, PSD2, etc.)
  • Integrating New AI Solutions With Legacy Infrastructure and Organizational Culture
  • Ensuring Ethical Principles Are Upheld at Scale
  • Balancing Innovation With Risk Management and Stakeholder Trust
Actionable Steps for Responsible Implementation
  • Ethical Risk Assessment
  • Robust Data Governance
  • Phased Rollouts With Oversight
  • Change Management and Training
  • Continuous Monitoring and Accountability
Future Trends in AI and Banking
  • Ethical AI Regulations on the Horizon (EU AI Act, Global Data Laws)
  • Rise of Explainable AI (XAI) Frameworks for Risk Assessments
  • Potential of AI-Driven Hyper-Personalization, Balanced With Privacy Safeguards
  • Collaboration Between Banks, Fintech, and Regulators to Set Ethical Standards
Case Studies and Examples
  • Bank Successfully Integrating Ethical AI Checks in Loan Approvals to Reduce Bias
  • Fraud Detection System That Prioritizes Explainability for Regulatory Compliance
  • Fintech Start-up Leveraging Federated Learning to Respect Data Privacy Across Multiple Institutions
Conclusion and Q&A
  • Recap of Main Points With Ethical Takeaways
  • Emphasize That Responsible AI Adoption Is an Ongoing, Iterative Process
  • Open the Floor for Questions and Group Discussion

Speakers

  • David Hatami, Ed.D
  • David Hatami, Ed.D,
    EduPolicy.ai/ScholarBar Education LLC


    • Managing Director of EduPolicy.ai/ScholarBar Education LLC
    • Educational Consultant and expert in online education
    • Expansive 23 year career traverses the realms of artificial intelligence, teaching, advising, student management, higher education administration, online education, pedagogy, and curriculum development
    • Extensive experience engaging with key players in both academic and corporate circles
    • M.A Degree, English Literature; M.Ed. degree, Higher Education Administration and Leadership; Ed.D degree, (anticipated late 2024) also in Higher Education Administration and Leadership

Who Should Attend

This live webinar is designed for presidents, vice presidents, branch managers, loan officers, compliance officers, loan department personnel, accountants, controllers, CFOs, and credit and collection managers.