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Human AI teaming Knowledge and Understanding for aviation safety

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Guidance on socially acceptable AI (se abrirá en una nueva ventana)

Final outcomes of Tasks 2.3 and 2.4.

Guidance on future workforce requirements (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

The transformation map (se abrirá en una nueva ventana)

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

Data Management Plan 2 (se abrirá en una nueva ventana)

A revised version of the Data Management Plan

Low fidelity prototypes (se abrirá en una nueva ventana)

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) (se abrirá en una nueva ventana)

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

Case studies and results of validation activities (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

Analysis of Societal Impact (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

Project Management Plan (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

Human-AI Teaming Framework and Design Document (se abrirá en una nueva ventana)

Blueprint for incorporating human-AI teaming principles in use case design efforts in WP4. The chief focus is a checklist-driven set of guidelines that can be used to ensure that HAIT principles are adequately addressed in use case design. The report will also incorporate the outcomes of T3.1 and T3.2.

State of the art in safety, Human Factors, and security (SHS) assurance processes in aviation (se abrirá en una nueva ventana)

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) (se abrirá en una nueva ventana)

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

HAIKU Dissemination, Communication and Exploitation Plan (se abrirá en una nueva ventana)

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

Interim report: Dissemination, Communication and Exploitantion (se abrirá en una nueva ventana)

An interim report on all dissemination and communication activities performed

First validation strategy and plan (se abrirá en una nueva ventana)

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

AI Model performance report (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

Final report: Dissemination, Communication and Exploitation (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

Strategy for XAI in aviation (se abrirá en una nueva ventana)

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) (se abrirá en una nueva ventana)

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) (se abrirá en una nueva ventana)

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).

Publicaciones

Cuckoo search algorithm for the evacuation strategy of people in flash floods using a spatiotemporal conditions weight (se abrirá en una nueva ventana)

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

The Future Impact of Digital Assistants on Aviation Safety Culture (se abrirá en una nueva ventana)

Autores: Barry Kirwan
Publicado en: The Future Impact of Digital Assistants on Aviation Safety Culture, 2023
Editor: Human Interaction and Emerging Technologies (IHIET 2023)
DOI: 10.54941/AHFE1002932

The Impact of Artificial Intelligence on Future Aviation Safety Culture (se abrirá en una nueva ventana)

Autores: Barry Kirwan
Publicado en: The Impact of Artificial Intelligence on Future Aviation Safety Culture, 2024
Editor: MDPI
DOI: 10.3390/FUTURETRANSP4020018

The Analysis and AI Simulation of Passenger Flows in an Airport Terminal: A Decision-Making Tool (se abrirá en una nueva ventana)

Autores: Afroditi Anagnostopoulou; Dimitrios Tolikas; Evangelos Spyrou; Attila Akac; Vassilios Kappatos
Publicado en: The Analysis and AI Simulation of Passen, 2024, ISSN 2073-431X
Editor: MDPI
DOI: 10.3390/su16031346

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