Blog & Articles

In this AI Alliance member spotlight we meet Raphaël Vienne, Head of AI at datacraft.

In this AI Alliance member spotlight we meet Roberto Trotta, Professor of Theoretical Physics and Head of Data Science at SISSA, Trieste

UNESCO, Meta, and Hugging Face launch an online Language Translator as part of United Nations General Assembly week, when leaders from around the world meet to discuss the world’s most pressing challenges.

Please join us on Wednesday, October 30, 2024 at Boston University’s Center for Computing & Data Sciences for the AI for Drug Discovery Open Innovation Forum.

While we support thoughtful AI regulation, SB 1047 does not strike the right balance. A
veto would allow for a more balanced approach that safeguards innovation while
addressing safety.

The AI Alliance, a global community dedicated to advancing safe and responsible AI through open innovation, has expanded its membership to include seven leading Indian organizations: AI4Bharat (IIT Madras), IIT Jodhpur, Infosys, KissanAI, People+AI, Sarvam AI, and, Wadhwani AI. This move reinforces India's growing contribution to the global AI landscape and marks a significant expansion of the Alliance. These companies are joined by IIT Bombay as one of the founding members of the Alliance.

The AI Alliance, in collaboration with Cerebral Valley and Ollama, hosted Open Source AI Demo Night in San Francisco, bringing together more than 200+ developers and innovators to showcase and celebrate the latest advances in open-source AI.

In this AI Alliance member spotlight we meet Sean Hughes, AI Ecosystem Director at ServiceNow.

In this AI Alliance member spotlight we meet Zhuo Li, Founder & CEO of Hydrox AI.

Commerce Department has taken a crucial step towards ensuring that the U.S. remains at the forefront of AI development by concluding that "the government should not restrict the wide availability of model weights for dual-use foundation models."

Education and skill-building is a key priority of the AI Alliance. Already, leaders are sounding alarm about an AI skills crisis, with too few people having the skills needed to work in the field, and too few opportunities for diverse populations to gain the training and experiences they need at scale, and economies standing to lose trillions.

The AI trust and safety guide is a “living” document that provides an introduction to current trends in research and development for ensuring AI models and applications meet requirements for trustworthy results, and in particular, results that satisfy various safety criteria. Aimed at developers and leaders who are relatively new to this topic, the guide defines some common terms, provides an overview of several leading trust and safety education and technology projects, and offers recommendations for how to build-in trust and safety into your AI-based applications.