Federal efforts to loosen AI oversight do not necessarily simplify compliance for businesses, David Talby argues in a Forbes Technology Council opinion article. He says withdrawn agency guidance does not eliminate underlying legal obligations, while state legislation continues to create requirements across healthcare, employment, privacy and conversational AI.
For businesses serving multiple states, Talby suggests that designing products around the toughest applicable requirements may be more practical than maintaining separate behavior for each jurisdiction. He cites conversational AI safeguards addressing self-harm and California requirements for disclosures and human-contact instructions in certain AI-generated clinical communications as examples of obligations that affect product behavior.
His central recommendation is to treat compliance as an ongoing engineering task: test how systems respond, check that disclosures and escalation options appear, and repeat evaluations when models or applications change. The available text also recommends tracking requirements by jurisdiction and use case. These are the contributor’s interpretations and recommendations, rather than independently verified legal conclusions; the supplied page cuts off during his broader recommendations.