AI Governance for Legal Departments: Model Validation and Continuous Monitoring (March 27, 2025)
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Exciting AI implementations do not automatically translate to controlled growth and managed risk without deliberate effort from key stakeholders, and corporate legal departments bear the weight of the resulting governance challenges.
This program will discuss fundamental concepts around validation of AI models and continuous monitoring of AI use cases. Strategies to ensure explainability, transparency, accountability and fairness in AI execution will be discussed, making necessary distinctions between legal requirements directly related to the use of AI systems, and mitigating controls for dynamic risks exasperated by AI use, such as: algorithmic drift, data misuse, privacy concerns, and security risks.
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Elif Cinar
Managing Director
Ankura
Elif is a forensic data and technology expert with more than 14 years of experience in regulatory compliance, risk assessments, complex investigations, and litigation support, specializing in anti-financial crimes, cross-border investigations, cyber- and cyber-enabled fraud, and technology risk management. Based in New York, Elif has worked on engagements across the globe including North and Central America, Europe, Middle East, and North East Asia. Elif has experience working alongside compliance, internal audit, board of directors, general counsel, outside counsel and law enforcement to address a diverse spectrum of governance, due-diligence and compliance matters as well as monitorships, internal investigations, dispute resolutions, mergers and acquisitions, and regulatory inquiries. Elif has worked with top global financial institutions and technology companies on cross-border regulatory and compliance challenges, including financial crimes compliance investigations, monitorships, fraud risk assessments, and supply chain due diligence. Elif specializes in transaction monitoring, third party due diligence, anti-money laundering, sanctions, AI model governance, technology risk management, and international trade controls.
Elif’s technical specialty is using diverse data sets from disparate sources and aligning expectations of key stakeholders to maximize efficiency, effectiveness, and responsiveness. She excels at using data tools to achieve data quality, optimize procedures for automation and escalation, and calculate risk metrics that lead to actionable insights.