Companies large and small are looking to expand and scale their AI capabilities to better serve clients and increase operational efficiencies.
Compliance teams have always been expected to wear many hats, serving as experts across an organization. They must work hard to ensure that they are not siloed off from other departments and are actively integrated across the organization to maintain a comprehensive perspective – especially when developing and implementing holistic AI policies that apply to various corporate divisions.
What protections are being implemented to keep confidential and/or protected data from being input into the AI model?Is there or has there been any bias testing of the model?Finally, companies should ensure that their compliance program enforces the rules, making sure that there are proper controls in place to guarantee that certain restrictions are maintained and that there is visibility into who has access to the information being used.
With the EU’s AI Act leading the way as a pioneer in AI regulation, compliance teams must consider how incoming legislation around the world could impact the use of certain AI tools in the future. Having an informed compliance team that is familiar with the technologies’ uses and functions, as well as the latest regulations, can help curb adverse consequences while maintaining compliance.AI models include generative AI, large language models and foundation models, among others.
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