Resilient and Reliable Artificial Intelligence (AI) Systems
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 360
Special Issue Editors
Interests: resilient AI/ML systems; natural language processing
Special Issue Information
Dear Colleagues,
This Special Issue on Big Data and Cognitive Computing focuses on the issues, principles, and design techniques relevant to the theoretical foundations and practical implications related to robust and reliable AI/ML systems.
The Special Issue solicits original research relating to:
- the issues that are specific to the operation of ML systems in real-world environments;
- the principles of reliability, robustness, and resilience in the context of operational use of ML systems, and;
- the design techniques and design patterns for how to ensure the operation of the ML systems that satisfy those principles.
With a special emphasis on the
- methods and metrics for reliable AI/ML operations and model evaluation;
- vulnerabilities to adversarial inputs and data poisoning, and the mitigating approaches;
- techniques for scalable data management, systems resilience and reliability in the context of AI/ML.
Dr. Edmon Begoli
Dr. Dimitri Kusnezov
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Resilient AI/ML
- Robust AI/ML
- Adversarial AI/ML
- Fairness
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