Responsible AI

President Brad Smith is urging lawmakers to pass a comprehensive 'deepfake fraud statute' that would give law enforcement the necessary legal framework to prosecute deepfake-related crimes.

CoSAI will focus on the entire lifecycle of AI systems, from building and integration to deployment and operation. The coalition aims to mitigate risks like model theft, data poisoning, prompt injection, and inference attacks.

Last month, YouTube expanded its privacy protection to cover AI-generated content. Users can now ask YouTube to take down videos that use artificial intelligence to fake their face or voice without permission. This builds on YouTube's AI policies which they announced last November. As AI content becomes more

The letter makes a case for stronger whistleblower protections, arguing that current measures are insufficient to address the unique challenges posed by AI.

The company's goal is to work with creators, content owners, and regulators to establish a standard for content usage in the AI industry.

The report highlights the company's efforts to foster transparency, accountability, and trust while navigating the complex landscape of artificial intelligence.

The company already creates labels for content created with Meta AI, however, the aim is to extend this to content created using other tools as well.

This incident should serve as a stark reminder of the urgent need for a concerted effort to address the challenges posed by AI-generated content.

Modeled after Rudyard Kipling’s iconic work “If—”, the poem explores themes AI themes around prudent and inclusive governance, equitable access, and safety and ethical foresight.

The restructuring will see most team members shifted to Meta’s burgeoning generative AI team, while others will join the AI infrastructure unit.

By expanding the sources of data used for model training beyond what is readily available online, OpenAI hopes to steer the future of AI in an inclusive direction that provides value to people across languages, geographies and walks of life.

A diverse research ecosystem is essential to realizing the promise of AI. AFMR aims to expand access to powerful models, engaging academics outside of computer science to pursue a broad range of important opportunities.

These projects will receive a total of $5 million in grants to harness the potential of large language models to shape equitable access to healthcare and other services across low- and middle-income countries.

A new white paper explores models and functions of international institutions that could help manage opportunities and mitigate risks of advanced AI