AI Resources

Thank you for attending the American Conference Institute’s
18th Forum on the Foreign Corrupt Practices Act session:

Taking Stock of AI for Compliance Monitoring: Companies at Various Phases of
AI Integration Share Lessons Learned and Unintended Consequences.

Below are additional tools and resources to help you build and enhance your AI compliance program.

Julie Myers Wood

Julie Myers Wood serves as the CEO at Guidepost Solutions, an international investigations, compliance, monitoring, and security firm. She has more than 25 years of experience working on regulatory and enforcement issues. Ms. Wood regularly advises startups, cybersecurity firms, crypto exchanges and FinTech/RegTech companies with addressing a changing and complex regulatory environment. With a deep commitment to ethical AI integration, she is at the forefront of addressing AI compliance issues to ensure responsible innovation. Previously, Ms. Wood held high-level positions with the U.S. government including the Departments of Justice, Homeland Security, Treasury, and Commerce, as well as at the White House.

Full bio

guidepost solutions chairman wearing a blue shirt and a black jacket

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 Top 5 Key Takeaways from the Session

 

Department of Justice Guidelines:

The guidelines for evaluating corporate compliance programs focus on whether the program is well-designed, earnestly applied, adequately resourced, and effective in practice.

Fit-For-Purpose Compliance Program:

This program aims to streamline compliance oversight and reporting, establish clear policies, increase risk awareness through training, and ensure consistent reporting trends.

Current Risk Monitoring Approach:

The use of key risk indicators (KRIs) involves risk assessments and audits but has drawbacks such as being retrospective and requiring manual analysis.

Advanced Analytics for Risk Monitoring:

AI and data analytics can detect risky transactions in real-time, enabling near-real-time monitoring and reporting, and creating datasets for analysis.

Ethical AI Practices:

Emphasizing transparency, fairness, and accountability in AI usage is crucial. This includes balancing competing interests, ensuring informed consent, and preventing unlawful discrimination.

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