AI Alliance Launches as an International Community of Leading Technology Developers, Researchers, and Adopters Collaborating Together to Advance Open, Safe, Responsible AI
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The AI Alliance
- Develop and deploy benchmarks and evaluation standards, tools, and other resources that enable the responsible development and use of AI systems at global scale, including the creation of a catalog of vetted safety, security and trust tools. Support the advocacy and enablement of these tools with the developer community for model and application development.
- Responsibly advance the ecosystem of open foundation models with diverse modalities, including highly capable multilingual, multi-modal, and science models that can help address society-wide challenges in climate, education, and beyond.
- Foster a vibrant AI hardware accelerator ecosystem by boosting contributions and adoption of essential enabling software technology.
- Support global AI skills building and exploratory research. Engage the academic community to support researchers and students to learn and contribute to essential AI model and tool research projects.
- Develop educational content and resources to inform the public discourse and policymakers on benefits, risks, solutions and precision regulation for AI.
- Launch initiatives that encourage open development of AI in safe and beneficial ways, and host events to explore AI use cases and showcase how Alliance members are using open technology in AI responsibly and for good.
Who We Are
- The creators of the tooling driving AI benchmarking, trust and validation metrics and best practices, and application creation such as MLPerf, Hugging Face, LangChain, LlamaIndex, and open-source AI toolkits for explainability, privacy, adversarial robustness, and fairness evaluation.
- The universities and science agencies that educate and support generation after generation of AI scientists and engineers and push the frontiers of AI research through open science.
- The builders of the hardware and infrastructure that supports AI training and applications – from the needed GPUs to custom AI accelerators and cloud platforms.
- The champions of frameworks that drive platform software including PyTorch, Transformers, Diffusers, Kubernetes, Ray, Hugging Face Text generation inference and Parameter Efficient Fine Tuning.
- The creators of some of today’s most used open models including Llama2, Stable Diffusion, StarCoder, Bloom, and many others.
- Agency for Science, Technology and Research (A*STAR)
- Aitomatic
- AMD
- Anyscale
- Cerebras
- CERN
- Cleveland Clinic
- Cornell University
- Dartmouth
- Dell Technologies
- Ecole Polytechnique Federale de Lausanne
- ETH Zurich
- Fast.ai
- Fenrir, Inc.
- FPT Software
- Hebrew University of Jerusalem
- Hugging Face
- IBM
- Abdus Salam International Centre for Theoretical Physics (ICTP)
- Imperial College London
- Indian Institute of Technology Bombay
- Institute for Computer Science, Artificial Intelligence
- Intel
- Keio University
- LangChain
- LlamaIndex
- Linux Foundation
- Mass Open Cloud Alliance, operated by Boston University and Harvard
- Meta
- Mohamed bin Zayed University of Artificial Intelligence
- MLCommons
- National Aeronautics and Space Administration
- National Science Foundation
- New York University
- NumFOCUS
- OpenTeams
- Oracle
- Partnership on AI
- Quansight
- Red Hat
- Rensselaer Polytechnic Institute
- Roadzen
- Sakana AI
- SB Intuitions
- ServiceNow
- Silo AI
- Simons Foundation
- Sony Group
- Stability AI
- Together AI
- TU Munich
- UC Berkeley College of Computing, Data Science, and Society
- University of Illinois Urbana-Champaign
- The University of Notre Dame
- The University of Texas at Austin
- The University of Tokyo
- Yale University