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 Manuscripts should not be published or currently submitted for publication elsewhere.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.

Questions?

Contact the guest editors at ic6-2023@computer.org.

Elisa Bertino, Purdue University

Suparna Bhattacharya, Hewlett Packard Labs

Elena Ferrari, University of Insubria

Dejan Milojicic, Hewlett Packard Labs