MIT Decentralized AI Summit

Event Details

Date: April 14 - 16, 2024
Location: MIT Media Lab
75 Amherst Street, Cambridge, MA

How to Register: Register for DecAI Summit

The Internet of AIs with Edge Compute, Siloed Data, Agents, and Data Markets

In today's AI landscape, data, computation, and governance are centralized. Decentralized AI offers a promising alternative leveraging intelligent, network-based approaches to improve collaboration, incentives, and innovation at the edges. It offers a promising alternative enabling collaboration between distrusted, disincentivized, and disinterested entities.

AI has made remarkable strides, showcasing its vast ability to tackle large-scale challenges. These advancements open new possibilities for areas where data and knowledge are distributed across different organizations and regions—such as healthcare, climate science, and supply chain management. We highlight five essential technical opportunities: (1) enhancing privacy, (2) ensuring verifiability, (3) aligning incentives, (4) enabling orchestration, and (5) improving crowdUX. By addressing these opportunities, diverse entities can collaborate to solve global issues while still achieving their local goals. This vision of Decentralized AI encourages further dialogue and research toward a decentralized, inclusive, and resilient AI future.

Program

Mon, April 14 (MIT DecAI Summit)

Tue, April 15 (MIT DecAI Summit at Imagination in Action)

Wed, April 16 (MIT DecAI Summit)

Call for Research Projects & Ventures

MIT Decentralized AI Research and Venture Hub welcomes research projects, nonprofits, and ventures to participate in the Decentralized AI Summit Showcase. Present on the main stage and showcase your projects during the networking session. Limited opportunities are available for panel discussions.

Past Events

Previous Event: MIT Decentralized AI Summit on October 11, 2024 focused on the potential of decentralized AI to transform various sectors. The summit addressed the limitations of centralized AI systems, particularly in areas where data and knowledge are distributed across organizations and regions, such as healthcare, climate science, and supply chain management. Key discussions highlighted five technical opportunities: enhancing privacy, ensuring verifiability, aligning incentives, enabling orchestration, and improving user experience. By addressing these areas, the summit emphasized how diverse entities can collaborate on global challenges while achieving their local objectives, promoting a decentralized, inclusive, and resilient AI future. The event also featured a project showcase, where participants presented their ventures, fostering networking and collaboration among researchers, entrepreneurs, and investors.

Important Notice (MIT Affiliates)

If you are presenting research findings that haven’t been made public, please ensure you have approval from your advisor or principal investigator, and consult your institution’s technology licensing office (for MIT folks, that’s the TLO). This prevents compromising future patent filings or violating sponsor agreements.