CLOSED: Call for Papers: Special Issue on Trustworthy AI and Data Lineage
IEEE Internet Computing seeks submissions for this upcoming special issue.
Important Dates
Paper submissions due: 5th May 2023
Publication: November/December 2023
Do you trust AI? Do you care about sources of data? If so, consider submitting a paper to this Special Issue.Topics of interest include, but are not limited to, the following:
AI Trustworthiness properties, lifecycle, assurance
AI Safety and Robustness
End to End Responsible and Explainable AI Systems
Measurement, Analysis, Design for trust in AI models, datasets and pipelines (e.g. fair, robust, explainable)
Data lineage challenges and applications: meta data tracking, sharing, exchange, and usage
Data centric and Model centric trustworthy AI techniques
Privacy preserving and secure AI
Data Lineage privacy and security
Analyzing tradeoffs in dimensions of trustworthy and efficient AI
Characterizing AI trustworthiness for different data and model types (NLP, Vision, Time series, RL, Graphs)
Decentralized ML data lineage and trust
Deployment and use
Verifying, validating, projecting
Human engagement, in the loop, ease of use
Standards, blueprints, best practices, repositories
Ethics, diversity, equity, and inclusion
Sustainability, scale, responsiveness
Governance, regulatory compliance
Industry verticals, e.g. manufacturing, healthcare
Submission Guidelines
For author information and guidelines on submission criteria, please visit the Author Information page. Please submit papers through the ScholarOne system, and be sure to select the special-issue name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal.
