IntelliLung AI-DSS Trustworthiness Evaluation Framework

The Artificial Intelligence Act was adopted in the European Parliament in March 2024 to establish a uniform legal framework for the development and uptake of human-centric and trustworthy artificial intelligence (AI) in Europe. Considering that AI may generate risks and cause harm, the approach for evaluating the newly developed AI and decision support systems (DSS) will vary from domain to domain. This paper presents the approach the European Union (EU) funded project IntelliLung is currently implementing in the healthcare domain. The IEC 62559-2:2015 methodology was used to structure the IntelliLung AI-DSS requirements and define key performance indicators relevant for the functional parts of the system (data integration, pre-processing, AI modelling). "Ethics-by-design" and "Transparent AI design" methodologies have been used for the IntelliLung AI-DSS implementation. The compliance requirements analysis has shown that the trustworthiness of AI-DSS relies on a wide set of measures including information and communication security, explainable AI algorithms, data governance and privacy considerations, as well as risk-management throughout the entire lifecycle of AI-DSS as a high-risk AI system.

Authors

Institutions

Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/telfor63250.2024.10819068
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IntelliLung AI-DSS Trustworthiness Evaluation Framework

Raphael Theilen, Robert Huhle, Sarah Tsurkan, Jakob Wittenstein et al.
Artificial Intelligence in Healthcare and Education
article

IntelliLung AI-DSS Trustworthiness Evaluation Framework

Raphael Theilen, Robert Huhle, Sarah Tsurkan, Jakob Wittenstein, Valentina Janev, Jason H. Li, Miloš Nenadović, Sahar Vahdati, Dejan Paunović, Muhammad Hamza Yousuf, Jaume Montanya
article en

Abstract

The Artificial Intelligence Act was adopted in the European Parliament in March 2024 to establish a uniform legal framework for the development and uptake of human-centric and trustworthy artificial intelligence (AI) in Europe. Considering that AI may generate risks and cause harm, the approach for evaluating the newly developed AI and decision support systems (DSS) will vary from domain to domain. This paper presents the approach the European Union (EU) funded project IntelliLung is currently implementing in the healthcare domain. The IEC 62559-2:2015 methodology was used to structure the IntelliLung AI-DSS requirements and define key performance indicators relevant for the functional parts of the system (data integration, pre-processing, AI modelling). "Ethics-by-design" and "Transparent AI design" methodologies have been used for the IntelliLung AI-DSS implementation. The compliance requirements analysis has shown that the trustworthiness of AI-DSS relies on a wide set of measures including information and communication security, explainable AI algorithms, data governance and privacy considerations, as well as risk-management throughout the entire lifecycle of AI-DSS as a high-risk AI system.

Institut Mihajlo Pupin (RS), Technische Universität Dresden (DE)
Climate action
Openalex Percentile: Top 81%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.