Pioneering a privacy-first approach, researchers are developing secure AI agents that prioritize data minimization, encryption, and rigorous auditing to gain user trust, drive adoption in regulated sectors, and simplify compliance with privacy regulations like HIPAA, GDPR, and CCPA.
As AI agents proliferate, traditional authentication methods face challenges, prompting the emergence of innovative approaches like dynamic credential issuance, identity-aware proxies, and ephemeral compute with baked-in identity to ensure frictionless yet secure access.
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.
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.
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.
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.
An undercover sting operation uncovered a convicted fraudster running shady whisky investment schemes under aliases, exposing tactics used by criminals to scam investors and emphasizing the need for diligent background checks in the whisky trade.
Raising alarming privacy concerns, DOGE employees have gained unchecked access to sensitive government databases containing personal and financial information, bypassing laws and protocols, according to federal judges who deemed this level of access unjustified and risky for Americans' privacy.
Microsoft is pioneering a 'training-time provenance' approach to trace the influence of specific data sources on AI-generated content, aiming to ethically compensate contributors of valuable training data used in AI models, in collaboration with technologist Jaron Lanier and his 'data dignity' concept.
A Norwegian man filed a complaint seeking a fine against OpenAI after an older version of ChatGPT falsely claimed he killed his two sons and was jailed for 21 years, prompting OpenAI to update its models to improve accuracy.