large language models

NARA sees ‘unacceptable risks’ from using ChatGPT for agency business

The National Archives and Records Administration says there’s an “unacceptable risk” of its sensitive data making its way into ChatGPT’s large language model.

Artificial Intelligence

S&T official picked to lead intelligence community’s AI work

Artificial Intelligence

Federal agencies beware: AI is not all it’s cracked up to be – at least not yet

Commentary

DISA sets the table for better AI with data management

Artificial Intelligence

DHS AI roadmap stakes claim to “lead” government in responsible AI use

Artificial Intelligence

U.S. Navy/MC1 Byron C. Linder

SOUTH PACIFIC (July 9, 2017) Operations Specialist 1st Class Charles Hammond, from Kansas City, Missouri, monitors tracks aboard Arleigh Burke-class guided-missile destroyer USS Sterett (DDG 104) during an air defense exercise comprised of Sterett, amphibious assault ship USS Bonhomme Richard (LHD 6), amphibious transport dock USS Green Bay (LPD 20), amphibious dock landing ship USS Ashland (LSD 48), Royal Australian Navy frigate helicopter HMAS Ballarat (FFH 155), Royal Australian Navy guided missile frigate HMAS Darwin (FFG 04), and Royal Australian Navy frigate helicopter HMAS Toowoomba (FFH 156) as part of Talisman Saber 17. Sterett, part of a combined U.S.-Australia-New Zealand expeditionary strike group (ESG), is undergoing a series of scenarios that will increase proficiencies defending the ESG against blue-water threats so amphibious forces can launch Marine forces ashore in the littorals. Talisman Saber is a biennial U.S.-Australia bilateral exercise held off the coast of Australia meant to achieve interoperability and strengthen the U.S.-Australia alliance. (U.S. Navy photo by Mass Communication Specialist 1st Class Byron C. Linder/Released)170709-N-ZW825-895

Navy explores generative AI to automate security classification

Artificial Intelligence

Navy discourages military generative AI, LLM usage

Artificial Intelligence