AI Risk & Compliance Online schedule

• How are AI-driven risk models enhancing predictive accuracy & real-time risk monitoring?

• What is the evolving role of AI in credit risk assessments, liquidity management, and operational risk reduction?

• How are leading banks & financial institutions leveraging AI for smarter risk decision-making?

• Balancing AI efficiency with regulatory constraints—how much autonomy should AI have in risk management?

• What are the biggest barriers to AI adoption in traditional financial institutions?

• What new AI-driven risk assessment tools are emerging in 2025?

• How do black box AI models pose compliance & legal risks?

• What are the risks of opaque AI decision-making in lending, fraud detection, and credit scoring?

• Explainable AI (XAI): Best practices for ensuring AI transparency in risk assessments.

• Regulatory expectations: What the SEC, OCC, and CFPB require for AI-driven financial decisions.

• How can banks audit and validate AI models to comply with fair lending laws?

• What steps can be taken to minimize bias and ensure fairness in AI-driven decisions?

• The role of human oversight: Should AI have the final say in financial decision-making?

Sriraman Pattabiraman, Data Governance and Risk Reporting Lead, State Street 

Priya Reddy, Chief Data Officer, Reprise Financial 

• Discuss the rapidly evolving landscape of cyber security threats and their profound impact on business success.
• Highlight the transformational power of aligning technology risk with your core business strategy, creating a strong defence against emerging threats.
• Emphasise the importance of building and nurturing a resilient workforce, equipped to tackle the evolving challenges of the digital age.

• How can machine learning models detect fraud patterns in real-time?

• AI in AML (Anti-Money Laundering) & KYC (Know Your Customer) compliance: Reducing false positives & improving detection.

• The rise of deepfake scams, synthetic identity fraud, and AI-enabled cybercrime.

• How are financial institutions using AI-driven anomaly detection to prevent transaction fraud?

• What are the biggest challenges in balancing fraud detection accuracy with customer experience?

• How are leading banks using AI to prevent financial fraud at scale?

With evolving Australian regulations, enterprises are facing stricter mandates for securing sensitive data. Protecting is no longer just a best practice—it’s a business imperative. This session will explore key data protection requirements, including enhanced encryption, stricter access controls, and stronger authentication mechanisms.

Join us to understand how to turn compliance challenges into security advantages while staying ahead of regulatory demands.

• How does AI identify suspicious trading patterns & market manipulation?

• The use of AI-driven Natural Language Processing (NLP) to monitor trader 
communications for compliance risks.

• How are financial regulators leveraging AI for enforcement?

• AI in monitoring alternative data sources for insider trading detection.

• How can AI-powered surveillance tools improve regulatory compliance & market 
transparency?

• The ethical debate: How much AI monitoring is too much in financial markets?

• How is AI automating compliance monitoring, reporting, and regulatory processes?

• What are the challenges of aligning AI with financial regulations (SEC, BIS, GDPR, AML, etc.)?

• How RegTech solutions are reshaping AI governance for financial institutions.

• The role of NLP & AI in automating regulatory reporting—reducing manual work for compliance teams.

• How can AI ensure continuous compliance tracking across jurisdictions?

• What are the biggest compliance risks in adopting AI-powered financial tools?

• How will the EU AI Act & U.S. regulatory proposals shape AI adoption?

• What are the key compliance challenges for banks & fintechs implementing AI-driven risk models?

• Predictions for the next decade of AI regulation & enforcement.

• How are global regulators addressing AI ethics, fairness, and accountability in finance?

• What policies should financial institutions adopt to proactively manage AI-related compliance risks?

• Are financial regulators prepared to oversee AI at scale? What new frameworks are needed?

Erum Manzoor, Senior Vice President - Citi 

Todd Covert, Chief Information Security Officer - Allstate 

Adam Ennamli, Chief Risk Officer - General Bank of Canada