Recently, we had an opportunity to learn more about a dynamic California-based program focused on youth advocacy, one deeply committed to empowering families as they navigate complex school and justice systems.
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Adopting new technology can transform how human services, justice, and health agencies collaborate to engage communities and transform lives. Technology has evolved and most legacy data systems fall short of supporting today’s multi-disciplinary and interagency teams—limiting their ability to coordinate care.
Just a few months ago, a market leader in artificial intelligence for consumer use announced the release of a new AI chatbot solution for government. Unlike its consumer-facing counterpart, this product was developed with public sector compliance, data security, and regulations in mind. This reflects a growing demand for AI in government services, where agencies must balance innovation with strict standards for privacy, accountability, and security.
One of the most persistent challenges facing data managers, data information officers, data stewards, and data risk or compliance officers is determining the right evidence-driven systems and strategies for collecting, managing, sharing and publishing sensitive subject information. And, doing so in a way that meets agency privacy and regulatory requirements is a chief priority. When tackling these issues, a privacy-first approach offers solutions with clear benefits for consumers and institutions.
