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CORDIS - Résultats de la recherche de l’UE
CORDIS

Human AI teaming Knowledge and Understanding for aviation safety

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Guidance on socially acceptable AI (s’ouvre dans une nouvelle fenêtre)

Final outcomes of Tasks 2.3 and 2.4.

Guidance on future workforce requirements (s’ouvre dans une nouvelle fenêtre)

Recommendations for future staffing and team-based safety practices to enhance the safe and successful integration of AI into organisations, for both Step 1 and Step 2 AI integration scenarios. It will include T8.4 outcomes

Concepts of Intelligent Assistants (s’ouvre dans une nouvelle fenêtre)

HAIKU concepts, describing the key elements both at the strategic level – i.e. AI purpose, expected benefits, values and design principles, (bidirectional) human-AI training,and workforce issues around implementation

Updated validation strategy and plan (s’ouvre dans une nouvelle fenêtre)

Final validation objectives, detailed objectives, corresponding indicators and metrics, and the workplan the second validation. The deliverable will include the updated user and operational requirements (T6.5) for each use case.

Development of safety, HF and security approaches for HIAS (s’ouvre dans une nouvelle fenêtre)

This report will present the Acceptable Means of Compliance to be applied and validated in Haiku Use Cases.

The transformation map (s’ouvre dans une nouvelle fenêtre)

Recommended training paths, with the aim of “bridging the gap” to the required competencies

Data Management Plan 2 (s’ouvre dans une nouvelle fenêtre)

A revised version of the Data Management Plan

Low fidelity prototypes (s’ouvre dans une nouvelle fenêtre)

High level overview of the prototypes produced for low TRL Use Cases, namely Startle effect, Digital Tower, Airport safety watch, describing functionalities, interaction modalities (input-output), and interface mock-up.

Social, Ethical, Legal, Privacy issues identification and monitoring (final) (s’ouvre dans une nouvelle fenêtre)

Final report of all the activities done and collected about ethical requirements, to be compliant

Case studies and results of validation activities (s’ouvre dans une nouvelle fenêtre)

Results of T5.3 and 5.4. Communication between Human-AI, testing and results will be part of D5.2.

The Human Role in future aviation (s’ouvre dans une nouvelle fenêtre)

This report will document the task analysis of current and future roles and will present the future Personas.

Analysis of Societal Impact (s’ouvre dans une nouvelle fenêtre)

This document will present the results of Tasks 2.3 and 2.4 after the first half of the project.

Human-AI Teaming Validation Framework (s’ouvre dans une nouvelle fenêtre)

Provisional framework for validating use case prototypes, including validation success criteria, constructs, metrics, measurement methods, instruments and protocols.

Project Management Plan (s’ouvre dans une nouvelle fenêtre)

Project organisation in terms of team structure, roles, responsibilities and work plan. It describes the Quality Assurance procedure and the strategy to keep risks under control and mitigate them.

Validation of the SHS case-based approach in case studies (s’ouvre dans une nouvelle fenêtre)

This report will present findings from the validation of the SHS case-based approach. To steer the design and development of Intelligent Assistants, interim reports on safety, security and Human Factors will be delivered to Use Case owners at M12 and M24

State of the art in safety, Human Factors, and security (SHS) assurance processes in aviation (s’ouvre dans une nouvelle fenêtre)

This report will present the state of the art in regulations, consensus-based industry standards and best practices, concerning SHS. The legal frameworks for the Haiku aviation segments will be included.

Social, Ethical, Legal, Privacy issues identification and monitoring (initial) (s’ouvre dans une nouvelle fenêtre)

Identification of the guidelines for the project and the required documentations.

HAIKU Dissemination, Communication and Exploitation Plan (s’ouvre dans une nouvelle fenêtre)

This deliverable will define the dissemination and communication strategy to be implemented in the framework of HAIKU.

Interim report: Dissemination, Communication and Exploitantion (s’ouvre dans une nouvelle fenêtre)

An interim report on all dissemination and communication activities performed

First validation strategy and plan (s’ouvre dans une nouvelle fenêtre)

High level validation objectives, detailed objectives, corresponding indicators and metrics, and the workplan for the first validation

AI Model performance report (s’ouvre dans une nouvelle fenêtre)

Report on the activities carried out in T4.5 – Point 1, to evaluate the performance of the AI models for each Use Case. Criteria will include the model prediction accuracy, “Human-in-the-loop” intervention and resulting model accuracy, and other metrics. This report will include the contingency strategies for unacceptable AI performances (i.e. human in the loop retraining, new data collection, etc.).

Vision and scenarios (s’ouvre dans une nouvelle fenêtre)

This document presents Haiku Vision, guiding principles, the description of reference scenarios for 2030 and 2050.

Final report: Dissemination, Communication and Exploitation (s’ouvre dans une nouvelle fenêtre)

A final report on all dissemination and communication activities, and conclusions on how these results can be used for further exploitation

Guidance on safety culture enhancements for future aviation WIA systems (s’ouvre dans une nouvelle fenêtre)

Guidance on how to create Digital Assistants that will put safety first as well as safeguards to maintain human commitment to safety culture, and will identify WIA approaches that could enhance safety and safety culture

SHS case guidance and ways forward for performance-based and risk-based regulatory frameworks (s’ouvre dans une nouvelle fenêtre)

The guidance will recommend ways forward for integration into aviation of new AI technologies. The report will include the results of the consultation with policy makers and regulators

Data Management Plan (s’ouvre dans une nouvelle fenêtre)

Analysis of the main elements of the data management policy that will be used by the project partners.

Strategy for XAI in aviation (s’ouvre dans une nouvelle fenêtre)

Interaction characteristics, sensors (visual, audio, etc.), datasets for training, information exchange between the human and AI, information presentation, adaptability and personalization will be included as proposed strategy.

Second validation report (VAL2) and demonstrator (DEM2) (s’ouvre dans une nouvelle fenêtre)

Results of all the validation activities carried out after VAL1, including finalisation of concepts for each use case. The deliverable will include a dissemination-ready section, with the overview of main results.

First validation report (VAL1) and demonstrator (DEM1) (s’ouvre dans une nouvelle fenêtre)

Results of all the validation activities carried out as part of the first validation (VAL1), including a demonstration of the Digital Assistants prototypes in each use case (DEM1).

Publications

Cuckoo search algorithm for the evacuation strategy of people in flash floods using a spatiotemporal conditions weight (s’ouvre dans une nouvelle fenêtre)

Auteurs: Evangelos D. Spyrou1, Afroditi Anagnostopoulou, Vassilios Kappatos
Publié dans: Cuckoo search algorithm for the evacuation strategy of people in flash floods using a spatiotemporal conditions weight, 2023, ISSN 2267-1242
Éditeur: EDP Sciences
DOI: 10.1051/E3SCONF/202343602001

The Future Impact of Digital Assistants on Aviation Safety Culture (s’ouvre dans une nouvelle fenêtre)

Auteurs: Barry Kirwan
Publié dans: The Future Impact of Digital Assistants on Aviation Safety Culture, 2023
Éditeur: Human Interaction and Emerging Technologies (IHIET 2023)
DOI: 10.54941/AHFE1002932

The Impact of Artificial Intelligence on Future Aviation Safety Culture (s’ouvre dans une nouvelle fenêtre)

Auteurs: Barry Kirwan
Publié dans: The Impact of Artificial Intelligence on Future Aviation Safety Culture, 2024
Éditeur: MDPI
DOI: 10.3390/FUTURETRANSP4020018

The Analysis and AI Simulation of Passenger Flows in an Airport Terminal: A Decision-Making Tool (s’ouvre dans une nouvelle fenêtre)

Auteurs: Afroditi Anagnostopoulou; Dimitrios Tolikas; Evangelos Spyrou; Attila Akac; Vassilios Kappatos
Publié dans: The Analysis and AI Simulation of Passen, 2024, ISSN 2073-431X
Éditeur: MDPI
DOI: 10.3390/su16031346

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