ALTAI Tool for Assessing AI-Based Technologies: Lessons Learned and Recommendations from SHAPES Pilots

Author:

Rajamäki Jyri1,Gioulekas Fotios2ORCID,Rocha Pedro Alfonso Lebre3,Garcia Xavier del Toro4ORCID,Ofem Paulinus1ORCID,Tyni Jaakko1

Affiliation:

1. Unit W, Laurea University of Applied Sciences, 02650 Espoo, Finland

2. 5th Regional Health Authority of Thessaly & Sterea, 41110 Larissa, Greece

3. CINTESIS@RISE, Department of Behavioural Sciences, School of Medicine and Biomedical Sciences (ICBAS), University of Porto, 4200-450 Porto, Portugal

4. Computer Architecture and Networks Group, School of Computer Science, University of Castilla-La Mancha, Paseo de la Universidad, 4, 13071 Ciudad Real, Spain

Abstract

Across European countries, the SHAPES Project is piloting AI-based technologies that could improve healthcare delivery for older people over 60 years old. This article aims to present a study developed inside the SHAPES Project to find a theoretical framework focused on AI-assisted technology in healthcare for older people living in the home, to assess the SHAPES AI-based technologies using the ALTAI tool, and to derive ethical recommendations regarding AI-based technologies for ageing and healthcare. The study has highlighted concerns and reservations about AI-based technologies, namely dealing with living at home, mobility, accessibility, data exchange procedures in cross-board cases, interoperability, and security. A list of recommendations is built not only for the healthcare sector, but also for other pilot studies.

Funder

European Union

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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