Ida Kristensen and Oliver Bevan discuss managing risks around generative AI, focusing on mitigation strategies, regulatory frameworks, data quality alignment, risk identification, employee education, deepfakes, internal risks in office software, and the importance of transparency and human oversight.
Balancing controls with employee awareness is crucial for managing risks in generative AI.
Regulatory dynamics in generative AI pose challenges globally, requiring companies to navigate differing approaches.
Deep dives
Challenges of Managing Risks in Gen AI
Managing risks in Gen AI involves balancing controls with employee awareness to detect suspicious activities. Companies must navigate the strategic imperative and embrace Gen AI despite skepticism. Establishing the right control structures is critical to mitigate organizational risks.
Regulatory Dynamics and Challenges in Gen AI
Regulatory dynamics in Gen AI vary globally, posing challenges for companies navigating differing approaches. Unlike GDPR's early leadership in data privacy, governing generative AI proves to be more intricate. Jurisdictions are focusing on the societal impact, data privacy, cybersecurity, and public trust in the face of evolving AI technology.
Evolution of AI Risks with Gen AI
Gen AI introduces new risks beyond traditional AI, emphasizing explainability, fairness, and deep fake prevention. The evolving AI landscape demands continuous monitoring and testing of models. Organizations face challenges in ensuring transparent outcomes and monitoring for fairness in AI decision-making.
Data Quality and Governance in Gen AI
Ensuring trustworthy data sources, data quality, and governance is crucial for training Generative AI models. Companies are adopting data licensing practices to preserve quality and protect against IP breaches. Continuous refinement of training data is essential to enhance model performance and accuracy.
Generative AI poses both risks and opportunities. Ida Kristensen and Oliver Bevan join us to discuss how we can mitigate the former while moving to capture the latter from day one.
Ida Kristensen is a senior partner in our New York office. She coleads the Risk & Resilience Practice and advises leading financial institutions on cybersecurity, strategies for risk management, regulatory compliance, and operational improvement.
Oliver Bevan is a partner in our Chicago office and a leader in our Risk and Resilience and Technology Practices. He leads our client work at the intersection of technology and risk, focusing on generative AI, data privacy, third party management, and trust and safety.