Topic Editors

Institute of Computer Science, Foundation for Research and Technology—Hellas (FORTH), 70013 Heraklion, Greece
Dr. Helmut Degen
Siemens, Washington, DC, USA
Institute of Computer Science, Foundation for Research and Technology—Hellas (FORTH), 70013 Heraklion, Greece

Toward Trustworthy Human-AI Collaboration: From Interactive Intelligence to Collaborative Autonomy

Abstract submission deadline
30 September 2026
Manuscript submission deadline
30 November 2026
Viewed by
596

Topic Information

Dear Colleagues,

Human-AI Collaboration represents a paradigm shift from automation toward a synergistic symbiosis between humans and autonomous systems, in which artificial intelligence augments human cognition, creativity, and decision-making while remaining aligned with human values and intentions. Rooted in Human-Centered AI (HCAI), this field integrates advances in foundation models, adaptive interfaces, explainable AI, sensor-driven perception, and socio-technical systems design to enable trustworthy, ethical, resilient, and context-aware collaboration.

Recent progress in large language models, multimodal agentic AI, interactive machine learning, and intelligent sensing technologies (e.g., IoT, wearable, and environmental sensors) has expanded AI’s role from a tool to a proactive partner. However, critical challenges remain: calibration of trust, transparency and explainability, shared situation awareness, dynamic allocation of decision authority, preservation of human agency, accountability and ethical governance, privacy, security, safety, robustness under uncertainties, cognitive workload balancing, and evaluation methodologies beyond accuracy-centric metrics.

This Topic invites contributions that examine theoretical foundations, computational architectures, empirical evaluations, and real-world deployments of collaborative AI systems across domains such as healthcare, defence, education, industry, and smart environments. Emphasis is placed on measurable team performance, human agency, adaptive autonomy, inclusive design, regulatory compliance, and long-term socio-technical sustainability.

By bridging technical innovation with human factors research, this issue aims to define the next generation of intelligent systems that amplify human capabilities while preserving accountability, transparency, and human oversight.

Dr. George Margetis
Dr. Helmut Degen
Dr. Stavroula Ntoa
Topic Editors

Keywords

  • human-AI collaboration
  • human-AI teaming
  • human-centered AI
  • explainable AI
  • trustworthy AI
  • adaptive autonomy
  • foundation models
  • agentic AI
  • interactive machine learning
  • human-computer interaction (HCI)
  • socio-technical systems

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
AI
ai
6.5 7.3 2020 19.2 Days CHF 1800 Submit
Inventions
inventions
2.4 5.7 2016 21.9 Days CHF 1800 Submit
Multimodal Technologies and Interaction
mti
3.3 6.6 2017 21.7 Days CHF 1800 Submit
Robotics
robotics
3.6 7.4 2012 23.7 Days CHF 1800 Submit
Sci
sci
4.1 5.4 2019 26.7 Days CHF 1400 Submit
Sensors
sensors
4.0 9.4 2001 17.8 Days CHF 2600 Submit
Standards
standards
- - 2021 26.8 Days CHF 1000 Submit
Technologies
technologies
5.2 6.7 2013 19.1 Days CHF 1800 Submit

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Published Papers

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