As generative AI systems raise novel challenges around data privacy, scope, temporality, and autonomy that undermine traditional consent mechanisms, experts call for new frameworks involving collective governance, technical safeguards, and legal reforms to protect data rights in the AI era.
While AI experts are optimistic about AI's positive impact on the U.S. in the next 20 years, the public remains wary, with concerns over job losses and AI's role in elections and news, highlighting a gap in perceptions between experts and the general public.
DeepMind's 145-page paper warns of potential 'severe harm' from advanced AI by 2030, proposing safeguards like access controls and AI interpretability, though some experts dispute the premises.
An AI image generator's unsecured database exposed over 95,000 records, including disturbing prompts and explicit images, some potentially illegal, such as de-aged celebrities made to look like children, leading the company to delete its websites after being contacted.
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.
As AI agents gain autonomy across applications, offering convenience, it's crucial to strike a balance by maintaining human oversight and control to mitigate privacy, safety, and security risks and ensure AI serves human interests.
AI technology is transforming mental health care, enhancing accessibility through 24/7 availability, aiding early diagnosis through data analysis, and supporting therapists with insights and task automation, yet human empathy and ethical oversight remain crucial.
OpenAI faces a GDPR complaint from noyb over ChatGPT's ability to generate defamatory and false information about individuals, violating data accuracy principles, with demands to delete outputs, fine-tune the model, and impose fines.
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.
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.