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Intelligent Automation and AI in Banking

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.

64 minutes
Course Exam
Certificate of Completion
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Why Lorman?

Over 38 years and 1.4 million customers worth of experience providing continuing education. Our passion is providing you world-class training to help you succeed in business and as a professional.

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
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Why Lorman?

Over 38 years and 1.4 million customers worth of experience providing continuing education. Our passion is providing you world-class training to help you succeed in business and as a professional.

Credits

OnDemand Course

This course was last revised on March 19, 2025.

Call 1-866-352-9540 for further credit information.

This program does NOT qualify, nor meet the National Standard for NASBA accreditation.

MP3 Download

This program does NOT qualify, nor meet the National Standard for NASBA accreditation.

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Why Lorman?

Over 38 years and 1.4 million customers worth of experience providing continuing education. Our passion is providing you world-class training to help you succeed in business and as a professional.

Faculty

David Hatami, Ed.D

David Hatami, Ed.D

EduPolicy.ai/ScholarBar Education LLC

Dr. David Hatami, Ed.D.

  • Leading expert in AI Ethics, AI Policy Development, and Higher Education Leadership, serving as Managing Director of an AI educational technology consulting firm, EduPolicy.ai
  • Respected speaker and presenter at national conferences, educational institutions, and industry events focusing on artificial intelligence ethics and policy implementation in academic and corporate settings
  • Expertise is showcased through various published works in professional journals and industry publications.
  • Serves on multiple AI ethics committees and provides consulting services to colleges and universities nationwide, focusing on responsible AI implementation and policy development
  • Doctor of Education in Higher Education Leadership & Administration, along with two master’s degrees, the first in English Literature and the second in Higher Educational Leadership
  • Can be reached at 727-741-7748 or via email at [email protected]
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Why Lorman?

Over 38 years and 1.4 million customers worth of experience providing continuing education. Our passion is providing you world-class training to help you succeed in business and as a professional.

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Product ID: 406765
Published 2025
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