IBM and Meta Form An AI Alliance, Uniting Over 50 Global Leaders to Foster Open, Safe, and Responsible AI Development

It also intends to develop educational content to inform public discourse and policymakers about the benefits, risks, and precision regulation of AI.

IBM and Meta Form An AI Alliance, Uniting Over 50 Global Leaders to Foster Open, Safe, and Responsible AI Development
Photo by Muhammad Asyfaul / Unsplash

In a landmark move, industry titans IBM and Meta have announced the launch of the AI Alliance, a pioneering initiative designed to galvanize collaboration among more than 50 founding members and collaborators worldwide. The AI Alliance aspires to converge leading technology developers, researchers, and adopters into an international community fostering open, safe, and responsible AI innovation.

The collaboration encompasses a formidable array of esteemed institutions, including but not limited to AMD, Anyscale, CERN, Cornell University, Dell Technologies, ETH, Hugging Face, Intel, NASA, Oracle, Red Hat, Sony Group, and several prestigious universities and research bodies.

The strategic imperative behind the AI Alliance is rooted in the transformative potential of AI advancements. Emphasizing open and transparent innovation, the alliance seeks to equip AI researchers, creators, and adopters with the essential tools and information crucial for leveraging these advancements. This collaborative endeavor aims to uphold safety, diversity, economic opportunity, and communal benefits at the forefront of AI progression.

Arvind Krishna, IBM Chairman and CEO: "The progress we continue to witness in AI is a testament to open innovation and collaboration across communities of creators, scientists, academics and business leaders. This is a pivotal moment in defining the future of AI. IBM is proud to partner with like-minded organizations through the AI Alliance to ensure this open ecosystem drives an innovative AI agenda underpinned by safety, accountability and scientific rigor."

With a collective vision, the AI Alliance is committed to accelerating responsible AI innovation by fostering scientific rigor, trust, security, diversity, and global economic competitiveness. The convergence of these influential stakeholders aims to transcend boundaries, address safety concerns, and establish a dynamic platform for the exchange and development of solutions catering to the diverse needs of AI innovators across the globe.

Nick Clegg, President, Global Affairs of Meta: “We believe it’s better when AI is developed openly — more people can access the benefits, build innovative products and work on safety. The AI Alliance brings together researchers, developers and companies to share tools and knowledge that can help us all make progress whether models are shared openly or not. We’re looking forward to working with partners to advance the state-of-the-art in AI and help everyone build responsibly.”

The AI Alliance aims to kickstart and enhance initiatives aligned with key objectives, including the development and deployment of benchmarks, evaluation standards, and tools essential for responsible AI system development and usage. Furthermore, the alliance strives to fortify the ecosystem of open foundation models while nurturing a thriving AI hardware accelerator environment.

Moreover, the initiative emphasizes global AI skills-building and research, intending to engage academia in fostering essential AI model and tool research projects. It also intends to develop educational content to inform public discourse and policymakers about the benefits, risks, and precision regulation of AI.

The AI Alliance endeavors to launch initiatives promoting open AI development in secure and beneficial ways, facilitating events to explore AI use cases while showcasing responsible AI technology application.

The alliance represents a broad spectrum of stakeholders, including creators of AI benchmarking and validation metrics, universities at the forefront of AI research, hardware and infrastructure developers, framework advocates, and creators of widely used open models.