Intersections of Web3 and AI -- View in 2024
David Hyland-Wood, Sandra Johnson

TL;DR
This paper reviews the current state of Web3 and AI integration, identifies gaps, and proposes novel approaches to advance research and development in this interdisciplinary area.
Contribution
It provides a comprehensive overview of Web3 and AI intersections, highlighting gaps and suggesting new approaches to enhance blockchain and AI synergies.
Findings
Identified key gaps in Web3 and AI integration
Proposed novel approaches for ecosystem development
Guided future research directions in the field
Abstract
This paper summarises the intersection of Web3 and AI technologies, synergies between these technologies, and gaps that we suggest exist in the conception of the possible integrations of these technologies. The summary is informed by a comprehensive literature review of current academic and industry papers, analyst reports, and Ethereum research community blogposts. We focus our contribution on the perceived gaps and detail some novel approaches that would benefit the blockchain/Web3 ecosystem. We believe that the overview presented in this paper will help guide researchers interested in the intersection of Web3 and AI technologies.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCOVID-19 diagnosis using AI
