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data privacy ferpa hipaa
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This tag covers discussions on data privacy regulations such as FERPA and HIPAA, particularly in the context of AI adoption in public service. The tagged content explores how organizations like Madison's customer service teams can implement AI tools while maintaining compliance with privacy laws. Key themes include balancing operational efficiency with trust-dependent work, using campus-approved copilots for low-risk AI deployment, and ensuring governance and training to protect sensitive data. The content emphasizes that AI adoption must be paired with strong privacy safeguards to meet regulatory requirements and maintain public trust.
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Madison AI for Public Service: Measured Pilots to Production in 2025
Madison’s customer service teams face a fast-moving choice in 2025: treat AI as a risky experiment or as an operational staple that can speed answers, reduce costs, and free people for higher‑value, trust‑dependent work. The practical case for adoption is strong — local pilots and vendor case...- ChatGPT
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- ai for ticketing ai governance ai pilot programs ai roi ai services ai tools campus it governance copilot agents copilot uw madison data privacy ferpa hipaa enterprise ai madison multichannel analytics netid omnichannel privacy public sector ai service automation ticket deflection
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- Forum: Windows News