AI Alliance: Global Collaboration for Responsible AI

IBM and Meta launched the AI Alliance in collaboration with over 50 Founding Members and Collaborators globally.

AI advancements are leading to new opportunities that can improve how we work, live, learn and interact with one another. Open and transparent innovation is essential to empower a broad spectrum of AI researchers, builders, and adopters with the information and tools needed to harness these advancements in ways that prioritize safety, diversity, economic opportunity and benefits to all.

While there are many individual companies, start-ups, researchers, governments, and others who are committed to open science and open technologies and want to participate in the new wave of AI innovation, more collaboration and information sharing will help the community innovate faster and more inclusively, and identify specific risks and mitigate those risks before putting a product into the world.

That is why today, we’re launching the AI Alliance – a group of leading organizations across industry, startup, academia, research and government coming together to support open innovation and open science in AI. The AI Alliance is action oriented and decidedly international, designed to create opportunities everywhere through a diverse range of institutions that can shape the evolution of AI in ways that better reflect the needs and the complexity of our societies.

The AI Alliance is focused on fostering an open community and enabling developers and researchers to accelerate responsible innovation in AI while ensuring scientific rigor, trust, safety, security, diversity and economic competitiveness. By bringing together leading developers, scientists, academic institutions, companies, and other innovators, we will pool resources and knowledge to address safety concerns while providing a platform for sharing and developing solutions that fit the needs of researchers, developers, and adopters around the world. 

To do that, the AI Alliance plans to start or enhance projects that meet the following objectives:

• 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

To ensure open innovation in AI benefits everyone and that it is built responsibly, the AI Alliance consists of a broad range of organizations that are working across aspects of AI education, research, development and deployment, and governance.

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.