House Report: National Science Foundation Paid Universities to Develop AI Censorship Tools for Social Media

The National Science Foundation is paying universities using taxpayer money to create AI tools that can be used to censor Americans on various social media platforms, according to members of the House.

University of Michigan, the University of Wisconsin-Madison, and MIT are among the universities cited in the House Judiciary Committee and the Select Subcommittee on the Weaponization of the Federal Government interim report.

It details the foundation’s “funding of AI-powered censorship and propaganda tools, and its repeated efforts to hide its actions and avoid political and media scrutiny.”

“NSF has been issuing multi-million-dollar grants to university and non-profit research teams” for the purpose of developing AI-powered technologies “that can be used by governments and Big Tech to shape public opinion by restricting certain viewpoints or promoting others,” states the report, released last month.

Funding for the projects began in 2021 and was issued through the NSF’s Convergence Accelerator grant program, which was initially launched in 2019 to develop interdisciplinary solutions to major challenges of national and societal importance such as those pertaining to AI and quantum technology, it states.

In 2021, however, the NSF introduced “Track F: Trust & Authenticity in Communication Systems.”

The NSF’s 2021 Convergence Accelerator program solicitation stated the goal of Track F projects was to “develop prototype(s) of novel research platforms forming integrated collection(s) of tools, techniques, and educational materials and programs to support increased citizen trust in public information of all sorts (health, climate, news, etc.), through more effectively preventing, mitigating, and adapting to critical threats in our communications systems.”


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