Workshop B — Behind the Scenes of Building an Effective AI & Data Analytics Program – From Capturing “Clean” Data to Achieving True Data-Driven Compliance and Monitoring
During our afternoon workshop, our leaders will delve into the potential of artificial intelligence for ongoing monitoring and enforcement of third-party compliance, with a focus on identifying emerging risks.
Key topics for discussion include:
- Exploring the operationalization of artificial intelligence in FCPA investigations and assessing its efficacy
- Analyzing the implications of the EU AI Act on FCPA enforcement efforts
- Assessing strategies for mitigating potential liability through informed decision-making
- Addressing practical challenges associated with implementing machine learning in FCPA cases, such as maintaining legal privilege and navigating organizational adoption hurdles
- Highlighting successful case studies of AI integration in FCPA compliance and enforcement initiatives
- Using data feeds for continuous risk re-assessments and monitoring program upgrades
- Concrete examples of metrics used for assessing and analyzing risk
- Leveraging data analytics for re-assessing risks and identifying compliance weak spots
- Updating your potential risk contact points that exist throughout your company
- Assessing the current controls in place to prevent, detect, and correct violations
- Determining and prioritizing the compliance enhancement measures you undertake
- Updating your risk assessment periodically
- Determining which compliance metrics to measure, and comparing them to industry standards and benchmarks for improved predictability
- Assembling qualitative data-gathering tools – such as surveys and questionnaires – to encourage adaptability and accountability