Results and Outcomes

RESEARCH & INNOVATION

Template & Guidance for Legal & Ethical Impact Assessment (D1.3)

Report on the fundamental approach to delivering THEMIS 5.0's ambition to ensure users can assess trustworthy AI.

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THEMIS Methodologies, Framework & Requirements Analysis (D2.1)

Report on the fundamental approach to delivering THEMIS 5.0's ambition to ensure users can assess trustworthy AI.

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Co-created Design Principles (D3.1)

Report on citizen co-created design principles for the THEMIS 5.0 Ecosystem. Based on workshops with 188 participants across Europe.

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Impact Roadmap (D6.1)

Communication, dissemination and exploitation plan for THEMIS 5.0. Includes initial messages, materials , responsibilities and channels.

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THEMIS 5.0 Approaches and Conceptual Modeling (D2.2)

Conceptual modelling of the trustworthiness optimization ecosystem driving the THEMIS framework.

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THEMIS 5.0 Trustworthiness Optimisation Platform Architecture and Training Datasets (D4.1)

Presents the first release of the THEMIS platform and systems architecture.

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Socio-Political, Legal & Ethical Recommendations (D6.3)

Policy Brief highlighting what trustworthy AI requires beyond technical performance

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Public Deliverables

Check out our official reports and publications (scroll down for papers)

Frontiers (May 2024)

Journal Paper: Challenges and efforts in managing AI trustworthiness risks: a state of knowledge

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Natural Hazards (June 2024)

Journal Paper: Understanding evacuation behavior for effective disaster preparedness: a hybrid machine learning approach

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IEEE (2024)

Conference Paper: Leveraging the European Cybersecurity Skills Framework(ECSF) in EU Innovation Projects: Workforce Development Through Skilling, Upskilling, and Reskilling

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IEEE (2024)

Conference Paper: Enhancing Cybersecurity Training Efficacy: A Comprehensive Analysis of Gamified Learning, Behavioural Strategies and Digital Twins

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AHFE International

Conference Paper: Optimizing AI System Security: An Ecosystem Recommendation to Socio-Technical Risk Management

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AHFE International

Journal Paper: Trustworthiness Optimisation Process: A Methodology for Assessing and Enhancing Trust in AI

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IEEE Xplore

Conference Paper: Enhancing Cybersecurity Training Efficacy: A Comprehensive Analysis of Gamified Learning, Behavioural Strategies and Digital Twins

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Springer Nature

Journal Paper: Understanding Evacuation Behaviour for Effective Disaster Preparedness: A Hybrid Machine Learning Approach

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Electronics 2025

Conference Paper: A Practical Human-Centric Risk Management (HRM) Methodology

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Cambridge Forum on AI Law and Governance

Journal Paper: Better Together? Human Oversight as a means to Achieve Fairness in the European AI Act

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Open Review

Conference Paper: SPARDACUS SafetyCage: A New Misclassification Detector

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Springer Nature

Conference Paper: End-to-End Encryption: Technological and Human Factor Perspectives

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RESEARCH & INNOVATION

Template & Guidance for Legal & Ethical Impact Assessment (D1.3)

THEMIS Methodologies, Framework & Requirements Analysis (D2.1)

Co-created Design Principles (D3.1)

Impact Roadmap (D6.1)

THEMIS 5.0 Approaches and Conceptual Modeling (D2.2)

THEMIS 5.0 Trustworthiness Optimisation Platform Architecture and Training Datasets (D4.1)

Socio-Political, Legal & Ethical Recommendations (D6.3)

Public Deliverables

Frontiers (May 2024)

Natural Hazards (June 2024)

IEEE (2024)

IEEE (2024)

AHFE International

AHFE International

IEEE Xplore

Springer Nature

Electronics 2025

Cambridge Forum on AI Law and Governance

Open Review

Springer Nature

Published Papers