Over 30 individuals, including Nobel laureates and former OpenAI employees, urge authorities to block OpenAI's proposed for-profit restructuring, arguing it violates the company's original charitable mission, while OpenAI maintains it can still benefit humanity in this new model.
OpenAI's pivot to pursue profits, abandoning its nonprofit status and mission, has sparked legal battles and backlash from critics who argue the move undermines the company's original goal of ensuring advanced AI benefits humanity as a whole.
An AI customer bot's 'hallucination' provided incorrect information, leading to user cancellations and raising concerns about over-reliance on AI for customer support, highlighting potential severe consequences as companies adopt autonomous AI agents, especially in regulated industries.
OpenAI, a leading AI research company, has faced an exodus of key leaders and safety staff responsible for mitigating catastrophic risks, raising concerns about the company's commitment to ethical governance and oversight as its formal safety structure becomes increasingly opaque.
Intellectual property (IP) encompasses intangible creations protected by laws granting exclusive rights to creators, fostering innovation while safeguarding consumer interests and public access; IP lawyers play a pivotal role in navigating complex laws, securing protections, and resolving disputes, driving economic growth and fair competition.
In a massive ad fraud crackdown, Google suspended an unprecedented 39.2 million advertiser accounts in 2024, tripling the previous year's figure, by leveraging AI and policy updates to combat business impersonation, deepfakes, and illegitimate payment details.
OpenAI's decision to skip a safety report for its GPT-4.1 update has sparked controversy, as AI safety experts argue that transparency and accountability should be prioritized even for incremental model enhancements, challenging the company's claim that a separate report wasn't necessary.
OpenAI plans to verify organizations before granting access to advanced AI models, prioritizing safety by mitigating potential misuse, intellectual property theft, and unintended consequences while enabling responsible development.
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.