Four steps for successful generative AI governance
Briefly

Four steps for successful generative AI governance
"With the federal government clearly embracing the potential benefits of generative AI and a skyrocketing number of deployments across agencies, we can expect more debate between those who want to jump into the AI pool quickly and with both feet to reap the benefits and those more concerned about the security and privacy implications and want to take a more cautious approach."
"Still, legitimate security and privacy concerns abound. Many in government raised concerns about how these AI tools are capturing federal government data and where that data is going, both internally and externally. Other issues revolve around the cost of storing all of the data that platforms are generating on the back end and dealing with the information overload resulting from AI deployments."
Federal leadership is strongly adopting generative AI, producing a rapid rise in agency deployments and related procurement actions. Policy moves, including a White House AI Action Plan and executive orders, alongside a reported ninefold increase in use cases and discounted GSA contracts with major vendors, have accelerated adoption. Significant security and privacy risks persist, including data capture, data flow concerns, storage costs, and information overload from AI outputs. Security functions should operate as business-enabling services that ensure compliance and reduce mission risk. Agencies should pursue AI initiatives while implementing concrete steps to mitigate those security and privacy challenges.
Read at Nextgov.com
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