ENFIELD presents research on Trust- and Risk-Aware Human–AI Collaboration at ELSA Final General Assembly

Represented by Aida Akbarzadeh (NTNU), the recent work presented addresses human control, trust, and cybersecurity in AI-enabled critical systems.

ENFIELD participated in the ELSA Final General Assembly in Saarbrücken, Germany, where Aida Akbarzadeh, from the Norwegian University of Science and Technology (NTNU), represented the project and presented one of its recent research outputs.

The work, titled “Trust and Risk-aware Human–AI Collaboration Framework in AI-Enabled OT Systems,” was presented during the Poster Session and focuses on the growing integration of Artificial Intelligence into Operational Technology (OT) and Cyber-Physical Systems (CPS).

While AI can enhance automation and predictive capabilities in these environments, it also introduces new risks, including loss of human control, reduced trust, and vulnerabilities to adversarial threats. The presented research addresses these challenges by proposing a control-theoretic framework for Human–AI collaboration that is risk-aware, trust-sensitive, and aligned with formal governance standards.

The framework was applied to a realistic case study, offering insights into control authority, responsibility, and the safe integration of AI in critical systems. Beyond supporting Human–AI collaboration during system operation, the proposed approach also helps ensure that AI integration remains compliant with updated requirements.

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