In a controversial move raising concerns over free speech and political bias, the Trump administration is deploying AI technology to scan federal employees' communications for anti-Trump sentiment, with potential disciplinary actions for those found critical of the president.
Fintech founder Albert Saniger faces fraud charges for deceiving investors by falsely claiming his shopping app Nate used AI automation, when it relied on human labor, leading to over $50 million in losses for backers like Coatue and Forerunner Ventures.
Senators from both parties slammed Meta CEO Mark Zuckerberg over the company's ties to China, accusing him of risking Americans' data while pursuing business opportunities there, and demanded his testimony before Congress to address these concerns.
Major tech giants like YouTube and OpenAI are backing a bipartisan bill reintroduced in Congress, the NO FAKES Act, which aims to create new federal IP rights to protect against unauthorized AI deepfakes of people's voices and likenesses, aligning artists and tech on AI issues.
A new study reveals a striking trust gap between AI experts, who are upbeat about the technology's potential, and a wary public anxious about AI's impacts and concerned over its responsible regulation by governments and companies.
The bipartisan TAKE IT DOWN Act, aimed at criminalizing non-consensual intimate imagery and deepfakes, cleared a House committee, gaining widespread support for requiring websites to swiftly remove such content and addressing the growing threat of AI-generated exploitation.
AI's unprecedented growth sparks environmental concerns, prompting governments and organizations to implement mitigation strategies like renewable energy adoption and resource management to curb emissions, waste, and ethical implications.
Major publishers like The New York Times and The Washington Post are running an ad campaign demanding that the US government hold tech companies accountable for AI content theft by mandating payment and attribution for copyrighted material used to train AI models.
Meta's new AI model Maverick tops the LM Arena benchmark, but the optimized version tested raises transparency concerns as it differs from the publicly available model, making real-world performance predictions challenging due to undisclosed customizations.
Tesla's robotaxi dreams face setbacks as its Full Self-Driving system faces safety scrutiny and CEO Elon Musk's political backlash leads to protests and record trade-ins, delaying the promised autonomous ride-hailing service until June 2023 in Austin.