Tech – ABCDQI

Dr. Brian Henz, Senior Science Advisor on AI, emphasizes the importance of understanding risks and ensuring transparency in implementing generative AI (Gen AI) within the Department of Homeland Security (DHS).
A key challenge identified is the explainability of AI models, which are often considered "black boxes," making it hard to trace decision-making processes and mitigate faulty results.
Best practices discussed include thorough dataset assessments, model validation in-house to prevent data leaks, and comprehensive evaluations of consequences before and after deployment.
DHS has already piloted various Gen AI applications, yielding insights into their benefits and limitations, such as improving maintenance predictions and summarizing law enforcement reports.
S&T seeks to ensure responsible AI usage, focusing on testing and evaluation, while anticipating future regulations to enhance public service and implement necessary safeguards.

Big tech vendors seek relief from varying state laws on AI and data privacy, with Trump’s One Big Beautiful Bill Act proposing a 10-year moratorium on state AI laws.
The U.S. House passed a tax and domestic policy bill by a narrow margin, which includes a provision to halt state enforcement of AI regulations.
Despite concerns over a chaotic patchwork of laws, progress on federal data privacy legislation remains slow, with previous attempts failing to pass.
Texas has secured substantial settlements against Google and Meta for violating user data privacy, signaling a strict state approach to tech regulation.
Industry experts warn that a lack of cohesive federal regulations may hinder accountability for AI vendors, emphasizing the need for appropriate legal frameworks.

Tag: Tech