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Human–AI Collaboration: Emerging Technologies and Applications

This special issue belongs to the section “Assistive Technologies“.

Special Issue Information

Dear Colleagues,

As artificial intelligence (AI) systems evolve, the synergy between humans and intelligent technologies is becoming central to innovation across various domains. Human–AI collaboration aims to leverage the strengths of both human cognition and machine intelligence, resulting in enhanced decision-making, creativity, productivity, and problem-solving capabilities. This Special Issue seeks to explore emerging technologies, theoretical frameworks, practical applications, and interdisciplinary approaches that enable effective collaboration between humans and AI.

We invite original research, case studies, and review articles covering the following topics: co-creative AI systems; human-in-the-loop learning; explainable and trustworthy AI; adaptive interfaces; AI-augmented decision support; human–robot interaction; collaborative autonomous systems; and human–AI teaming. Contributions from fields including computer science, cognitive science, HCI, robotics, and psychology are encouraged.

By bringing together diverse perspectives and innovations, this Special Issue aims to provide a comprehensive understanding of how humans and AI can effectively collaborate in real-world environments ranging from education and healthcare to manufacturing, finance, and various creative industries.

We look forward to receiving your contributions.

Dr. Giovanni Delnevo
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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. Technologies 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 1600 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

  • human–AI collaboration
  • co-creative AI systems
  • human-in-the-loop learning
  • explainable AI (XAI)
  • trustworthy AI
  • human–robot interaction
  • collaborative decision-making
  • intelligent user interfaces
  • adaptive systems

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Technologies - ISSN 2227-7080