By Aaron Nicodemus2023-06-06T12:00:00
Generative artificial intelligence like OpenAI’s ChatGPT, Microsoft’s ChatGPT-powered Bing, and Google’s Bard have a lot of potential—and risks—that require thorough assessments to implement.
But can—or should—generative AI be used by the compliance department?
Compliance professionals must determine whether any potential uses of generative AI by their employer violate state or federal laws, rules, or regulations. They should insist safeguards be implemented to prevent or detect plagiarism and the improper use of intellectual property, as well as violations of individual privacy.
2024-06-07T22:34:00Z By Adrianne Appel
Compliance has been “sleeping on” artificial intelligence, two panelists discussed at Compliance Week’s Women in Compliance Summit. The profession should be positioned to lead on AI governance at the business level.
2023-07-21T15:29:00Z By Kyle Brasseur
Technology companies including Google, Meta, and OpenAI agreed to a series of voluntary commitments they’ll make regarding their management of risks when developing artificial intelligence systems.
2023-07-06T15:33:00Z By Neil Hodge
Not all companies can rely on bans or restrictions to employee use of generative artificial intelligence like ChatGPT. Instead of telling people what they can’t do, focus on what they can do.
2025-10-09T18:11:00Z By Jaclyn Jaeger
On-again-off-again tariffs, a down economy, and a long list of global supply chain disruptions are challenging U.S. food and beverage companies to adjust their supply chain operations in a variety of ways.
2025-09-25T20:36:00Z By Jaclyn Jaeger
New regulations, changing consumer demands, and global supply chain disruptions – from cost-of-goods inflation to tariffs to raw material shortages, and more – are just a few top challenges reshaping the operations of food and beverage industry today. “These challenges are no longer just logistical—they implicate sourcing risk, contract performance, ...
2025-09-17T19:03:00Z By Ruth Prickett
More than half of all compliance teams are “actively using” or “piloting” AI applications, according to a Moody’s report. While most are focusing on streamlining routine tasks, some are developing AI agents and asking vital questions about AI decision-making.
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