Special Issue "Human-Centered AI with Applications from Agriculture to Zoology"

A special issue of Machine Learning and Knowledge Extraction (ISSN 2504-4990).

Deadline for manuscript submissions: 1 May 2023 | Viewed by 157

Special Issue Editors

Prof. Dr. Andreas Holzinger
E-Mail Website
Guest Editor
Human-Centered AI Lab, Institute of Forest Engineering, Department of Forest- and Soil Sciences, University of Natural Resources and Life Sciences Vienna, 1190 Vienna, Austria
Interests: human-centered AI; explainable AI; interactive machine-learning; decision support; trustworthy AI
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Andreas Gronauer
E-Mail Website
Guest Editor
Institute of Agricultural Engineering, Department of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences, 1190 Vienna, Austria
Interests: agricultural engineering; smart farming technology; life-cycle assessment; renewable energy technologies; environmental engineering; waste treatment
Prof. Dr. Karl Stampfer
E-Mail Website
Guest Editor
Department of Forest and Soil Sciences, University of Bodenkultur Wien, Peter Jordan Str 82, A-1190 Vienna, Austria
Interests: timber harvesting; forestry work science; chip supply chain; logistics; cable yarding; bioenergy; road network planning; ergonomics; optimisation of timber harvesting systems
Prof. Dr. Peter M. Roth
E-Mail Website
Guest Editor
1. International AI Future Lab, Technical University of Munich (TUM), Lise-Meitner-Straße 9, 85521 Ottobrunn, Germany
2. Institute for Computational Medicine, University of Veterinary Medicine, Veterinärplatz, 1, 1210 Vienna, Austria
Interests: machine learning; pattern recognition; visual surveillance; object detection; object tracking; semantic segmentation
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. A Min Tjoa
E-Mail Website
Guest Editor
Information & Software Engineering Group, Vienna University of Technology, 1040 Wien, Austria
Interests: data bases; security; semantic Web; risk analysis; personal information management
Prof. Dr. Andreas Rauber
E-Mail Website
Guest Editor
Institute of Information Systems Engineering, Vienna University of Technology, 1040 Vienna, Austria
Interests: machine learning; data science; information retrieval; music information retrieval; digital preservation

Special Issue Information

Dear Colleagues,

In this Special Issue, we invite submissions from the international research community covering two lines of research:

  1. Papers on fundamental human-centered AI (methodological, theoretical, …);
  2. Application papers in all fields of daily life, ranging from agriculture to zoology.

The use of AI in domains that are important to human life (agriculture, forestry, climate, health, zoology, etc.) has led to an increased need for trustworthy AI with two main components: explainability and robustness. One step in making AI more robust is to leverage expert knowledge. For example, a forester-in-the-loop can often bring experience and conceptual understanding to the AI pipeline. Human-centered AI (HCAI) is therefore a synthesis of "artificial intelligence" and "natural intelligence" that can strengthen, enhance, and complement human performance rather than replace it.

For certain tasks, AI/machine learning algorithms achieve performance that exceeds human levels. The challenge is to use multimodal information fusion to integrate data from different sources (sensor data, images, *omics, satellite, and airborne imagery, etc.) and explain why a certain result was obtained. However, machine learning models are often sensitive to small changes, and perturbations can have dramatic effects on the outcome.

Prof. Dr. Andreas Holzinger 
Prof. Dr. Andreas Gronauer
Prof. Dr. Karl Stampfer
Prof. Dr. Peter M. Roth
Prof. Dr. A Min Tjoa
Prof. Dr. Andreas Rauber
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. Machine Learning and Knowledge Extraction is an international peer-reviewed open access quarterly 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 1400 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.

Published Papers

This special issue is now open for submission.
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