2nd Call for Papers

Conference Track and Scope

Due to its multi-disciplinary nature, the conference will be organised around discipline-specific tracks. We solicit original research submissions for the following five tracks.

1. Algorithmic and Data-Driven AI (Computer Science)
2. Symbolic AI (Knowledge Representation and Reasoning)
3. Socio-technical and human-centred AI (Information Systems)
4. Responsible and Ethical AI (Philosophy and Law / Humanities)
5. Inter- and transdisciplinary AI research

Please note that the SACAIR 2023 tracks represent different academic disciplines, so please carefully select the track for your submission to ensure that experts in your field appropriately review your submission.

Algorithmic and Data-Driven AI (Computer Science) track – Submissions will primarily be reviewed by a computer science (CS) program committee, so the contribution should be a CS contribution developed according to accepted CS research strategies, whether it is algorithmic or data-driven. Topics in this track include:

● Deep Learning and Machine Learning
● Computer Vision and Image Processing
● Natural Language Processing
● Pattern Recognition
● Evolutionary Computing
● Biometrics and Cybersecurity in AI
● Explainable AI

Symbolic AI (Knowledge Representation and Reasoning) track – KRR experts will primarily review submissions within the computer science (CS) program committee, so the contribution should be in one or more of the following tracks:

● Knowledge Representation and Reasoning
● Ontologies
● Computational Logic
● Multi-agent Systems
● Agent-based Modelling
● Quantum Artificial Intelligence

Socio-technical and human-centred AI (Information Systems) track – An information systems (IS) program committee will primarily review the submission. The contribution should be developed according to accepted IS research strategies, primarily socio-technical. Please do not submit to this track if you do not have an IS contribution. Application papers such as testing an algorithm within a new software system belong to the CS track. Topics in this track include:

● AI Information Systems
● AI and Socio-Technical Systems
● Human-Centred Artificial Intelligence
● AI for and in Business, including AI adoption
● AI Supporting Sustainable Development and the Circular Economy
● AI for Development and Social Good
● Society 5.0

Responsible and Ethical AI (Philosophy and Law) track – Contributions should be acceptable to the Humanities or Law communities. This track, and only this track, will accept both full papers and extended abstracts. Both full papers and extended abstracts will undergo a double-blind peer review, and only full papers will be considered for publication in either the Springer CCIS proceedings or the online conference proceedings. Extended abstracts will be considered for presentation at the main conference. Submissions to this track can be either a full paper submission complying with the specifications below or an extended abstract in PDF format of at least 4 pages (1500+) words. Topics in this track include:

● Data Ethics
● Machine Ethics
● Ethics of Socio-robotics
● Neuro Ethics
● AI and the Law
● Responsible AI Governance

Inter- and transdisciplinary AI research track – Submissions should be genuinely interdisciplinary or transdisciplinary, adopting research strategies from different disciplines.

● Please include a motivation for the submission being interdisciplinary or transdisciplinary.