Overview:
This session explores the ethical considerations of AI in banking, insurance, and compliance.
It will cover key regulatory concerns, real-world case studies of AI failures, and practical strategies for integrating responsible AI into financial decision-making.
Why you should Attend:
Concerns around AI in financial services are growing and information is often contradictory. Regulators are tightening oversight, consumers are demanding fairness, and businesses face reputational risks from AI-driven decisions.
Understanding ethical AI isn’t just about compliance-it's about building a sustainable and trusted financial future.
By attending this webinar, participants will:
- Recognize the key ethical risks associated with AI in financial services
- Understand regulatory expectations and compliance strategies for responsible AI
- Gain insights into best practices for building trustworthy AI-driven financial products
Areas Covered in the Session:
- AI Bias & Fairness in Financial Decisions - How biases in algorithms impact lending, insurance, and fraud detection, and what can be done to mitigate them
- Regulatory Compliance & AI Governance - Understanding global regulatory frameworks, ethical AI principles, and the role of compliance teams
- Consumer Trust & Transparency - Strategies for ensuring explainable AI and maintaining customer confidence in AI-driven financial products
- AI’s Role in Risk & Fraud Management - Ethical implications of AI-driven risk assessment and fraud prevention tools
- Future-Proofing Ethical AI in Finance - Emerging trends, best practices, and the future of ethical AI adoption in financial services
Who Will Benefit:
- Chief Risk Officers (CROs)
- Compliance & Regulatory Officers
- AI & Data Science Leaders in Financial Services
- Product & Innovation Heads in Banking & Insurance
- Ethics & Governance Professionals