A U.S. appeals court will hold oral arguments on Sept. 16 to hear challenges to a law that would ban TikTok in the U.S. if its China-based parent companydoes not divest ownership by Jan. 19, per a Monday order.
Why it matters: TikTok and ByteDance are challenging the constitutionality of the law requiring ByteDance to sell TikTok's business in the U.S. The legal proceedings could determine the whether an app with more than 150 million users in the U.S. remains available for download.
U.S. Surgeon General Vivek Murthy called on Congress Monday to require social media platforms to display warning labels alerting users of the potential harms the platforms pose to teens' mental health.
Why it matters: Murthy's call for congressional action comes amid rising awareness of the dangers of social media for young people, as platforms try to negate some of the harms while facing lawsuits for their roles in the youth mental health crisis.
Generative AI is reshaping the M&A journey, but dealmakers shouldn't ignore the challenges associated with the new technology.
During a recent Harvard Business Review Analytic Services webinar, sponsored by Datasite,Chad Burton, chief operating officer of investment banking at Piper Sandler, and Nigel Cannings, CEO of Intelligent Voice, discussed solutions to these challenges and what lies ahead.
A Maryland county just north of Washington, D.C., is embarking on an ambitious effort to provide clean, sustainable public transit — even to the point of installing a microgrid for its own electricity and hydrogen fuel production.
Why it matters: Self-sufficient energy systems, or microgrids, are emerging as an important clean energy tool for communities, businesses and government agencies.
Federal officials, AI model operators and cybersecurity companies ran the first joint simulation of a cyberattack involving a critical AI system last week.
Why it matters: Responding to a cyberattack on an AI-enabled system will require a different playbook than the typical hack, participants told Axios.
Recent high-profile stumbles by Microsoft and Google in the corporate rush to deploy generative AI are the result of known flaws, not surprise problems.
Why it matters: The more half-baked AI features and products tech giants unleash upon the public, the less the public is going to trust and embrace the new technology.
