By Adam Turteltaub
Andrew McBride, Founder & Chief Executive Officer at Integrity Bridge, recently wrote an article entitled Generative Artificial Intelligence Use Cases for Ethics & Compliance Programs. Intrigued by the topic, I sat down with him for this podcast.
He shared that many compliance teams are charged with using AI but may not have the desire or know how to create and implement a use case.
He shares that AI is very good at doing a specific role and a specific activity. Consequently, compliance teams should consider not just the use of AI as a whole but specific needs that they have for it. He gives five specific use cases:
Interpreter. AI can translate documents and training in seconds. It can also help you distill long documents into pithy, usable summaries both for you and management.
Drafter. It can draft from scratch or improve what you have already put together, even creating interactive scenarios that can be useful in training.
Researcher. You do have to be mindful of hallucinations, but if you set up the AI to only use your own data or a trusted set of ources, it is more reliable. Do, though, always check its work.
Data Analyst. As compliance teams are called to amass and analyze more data, AI can help you do it, identifying, for example, relationships between training and calls to the helpline.
Monitor, Investigator, Auditor. AI can review both structured and unstructured data, helping you identify red flags.
Listen in to learn more, and then, start building your own use case for generative AI.
