2nd International Workshop on Advances in Artificial Intelligence for Blockchain
Objectives, scope, and contribution to the main conference:
Artificial Intelligence (AI) and Blockchain are widely hailed to be leading the way to the fourth industrial revolution. The two technologies on their own have been revolutionary in the last decade. However, the potential of combining these two technologies poses exciting opportunities and challenges, which is at a nascent stage.
The workshop aims to explore the synergies between AI and blockchain technologies and to identify the disruptors, especially in terms of the application potential of the combination of the two technologies. We intend to discuss how leveraging blockchain technology can benefit AI and how applying AI can enhance the capabilities of blockchain technology. We believe this workshop would elucidate the scope of augmenting blockchain technology, including consensus mechanisms and smart contracts with advances in AI. Moreover, constructing decentralized applications powered by blockchain technology, that function as autonomous agents, is a new area of research that we expect to highlight at this workshop. Providing cross-fertilization between different domains that are either already using or planning to use AI in blockchain technologies is another important goal of this workshop.
The AIChain 2020 workshop is building on the success of the 1st International Workshop on Advances in Artificial Intelligence for Blockchain (https://ai4blockchain.github.io/2019) that was co-located with the IEEE Blockchain Conference in Atlanta, GA on July 14, 2019.
Topics of interest include, but are not limited to:
• AI-based consensus mechanisms for blockchain
• AI for decentralized applications
• AI and semantic representations for off-chaining data
• AI for the analysis of smart contracts and data stored on the blockchain
• AI-assisted smart oracles
• AI-assisted smart contract generation for blockchain
• Anomaly detection in smart contracts using AI
• Federated and distributed learning using blockchain frameworks
• Blockchain for data privacy and AI model integrity
• Differential privacy
• Challenges of adopting blockchain technology to assist AI
• Secure multiparty computation
• Homomorphic encryption
Paper Submission Deadline: Sep 7, 2020 (extended)
Author Notification: Sep 21, 2020
Final Manuscript Due: Sep 27, 2020
We invite papers on novel approaches, applications, and work in progress research in the context of applying AI to blockchain technology as well as leveraging blockchain to advance AI. Selected regular papers will be presented as podium talks.
All papers need to be submitted electronically through the conference website (https://edas.info/newPaper.php?c=27582) with PDF format. Submitted papers must not substantially overlap with articles that have been published or that are simultaneously submitted to another workshop or a conference with proceedings or a journal. Papers must be presented in English, must not exceed 6 pages in IEEE Computer Society proceedings format (or up to 8 pages with the pages over length charge), including tables, figures, references, and appendices. Papers will be selected based on their originality, significance, relevance, and clarity of presentation assessed by at least three reviewers. All submitted papers will be judged through double-blind reviews, where the authors' identities are withheld from the reviewers. As an author, you are required to preserve the anonymity of your submission, while at the same time allowing the reader to fully grasp the context of related past work, including your own. Papers that do not conform to our double-blind submission policies will be rejected without review.
Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. AIChain2020 reserves the right to exclude a paper from distribution after the conference (e.g., removal from the digital library and indexing services), if the paper is not presented at the conference. All accepted papers will be published in IEEE CPS proceedings (EI Indexed) and collected by IEEE Xplore Digital Library.
• Olivia Choudhury (firstname.lastname@example.org)
• Justin D. Harris (email@example.com)
• Oshani Seneviratne (firstname.lastname@example.org)
Rensselaer Polytechnic Institute, USA
• Asnee Fernando (Shoptaki Inc, USA)
• Heather Leigh Flannery (ConsenSys Health)
• Isuru Godage (DePaul University, USA)
• Andrey Kuehlkamp (University of Notre Dame, USA)
• Tsung-Ting Kuo (University of California San Diego, USA)
• Jianjing Lin (Rensselaer Polytechnic Institute, USA)
• Jonathan Passerat-Palmbach (ConsenSys and Imperial College London, UK)
• Serguei Popov (IOTA, University of Porto)
• Bo Waggoner (University of Colorado, Boulder, USA)
For more information about this workshop, please see