The Federal Communications Commission’s (FCC) Consumer Advisory Committee is set to explore how artificial intelligence (AI) can be harnessed to protect vulnerable groups from illegal calls, marking a significant stride in utilizing AI for consumer protection.
The Federal Communications Commission (FCC) announced its plans to rejuvenate the Consumer Advisory Committee (CAC). This move comes in response to emerging concerns about artificial intelligence (AI) and its impact on customer protection.
The National Telecommunications and Information Administration (NTIA) has elicited public opinion on the profits and perils of “open-weight” AI models, reflecting transparency in its approach to molding the AI landscape.
In the rapidly evolving world of artificial intelligence (AI), dual-use foundation models—AI models with both civilian and military applications—have emerged as a topic of concern, prompting the Commerce Department to open a forum for public input.
According to Craig Martell, the Pentagon’s AI Chief, while the US military is capable of rapidly devising custom solutions for immediate issues, the need for a more systematic approach to transform these makeshift hacks into enduring, communicative AI systems is paramount.
In a recent four-day symposium in Washington, top officials from the Department of Defense (DoD) sat down with tech industry thought leaders to mull over the potential military usage of Large Language Models (LLMs) and other burgeoning artificial intelligence (AI) technologies.
GlobalFoundries is set to receive a significant investment from the Department of Commerce through the CHIPS and Science Act. Valued at a potential $1.5 billion, this financial injection intends to expand GlobalFoundries’ manufacturing capabilities to enhance semiconductor chip production for various applications in automotive, defense, aerospace, artificial intelligence, and the Internet of Things among others. The original article can be found here .
San Francisco-based Scale AI has received a one-year contract from the Pentagon’s Chief Digital and Artificial Intelligence Office (CDAO) to develop a comprehensive testing and evaluation (T&E) framework for generative AI.