Guest Notes

Drew Northern is involved in the compliance department at Cook Group and Cook Medical, focusing on leveraging AI to improve compliance processes and mitigate risks.

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Drew Northern | LinkedIn

Key Takeaways

• Routine Tasks Automation: Drew emphasizes that generative AI can significantly benefit compliance professionals by automating routine, mundane tasks such as data entry, basic data analysis, investigations, transactional reviews, auditing, contract management, and due diligence.
• Risk Mitigation: He highlights the importance of understanding the limitations and risks associated with AI, especially when working with third parties. This includes ensuring security, privacy, and the accuracy of AI outputs.
• Governance Structure: Drew advocates for establishing a governance structure to oversee AI usage. This structure should not stifle creativity but ensure that AI is used responsibly and effectively.
• Training and Gamification: He sees potential in using AI for training purposes, such as individualizing training content and gamifying training processes to improve engagement and efficacy.
• Continuous Improvement: Drew stresses the importance of a continuous improvement mindset, encouraging professionals to stay curious and open to new ways of leveraging AI in compliance and ethics.
• Industry Expectations: He notes that governments globally are setting expectations for what constitutes a reasonable ethics compliance program. Meeting these expectations is crucial to avoid falling short and facing penalties.

Conclusion

Drew Northern's insights underscore the transformative potential of generative AI in compliance, from automating routine tasks to enhancing training and maintaining robust governance structures. His emphasis on continuous improvement and staying abreast of industry expectations provides a roadmap for leveraging AI responsibly in the compliance sector.