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Testamentary capacity assessment in dementia using artificial intelligence

Prospects and challenges

Bibliographic Data

ID15517296
AuthorsAlexandra Economou (0000-0003-0583-7048, National and Kapodistrian University of Athens, corresponding author), John Kontos (National and Kapodistrian University of Athens)
Year2023
Volume14
Pages1137792-1137792
Publication date2023-05-31
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2023.1137792
PMID37324813
OpenAlexW4378901812
LanguageEN
References cited41

Testamentary capacity (TC), a set of capacities involved in making a valid Will, has become prominent in capacity evaluations due to the demographic increase in older persons and associated increase in cognitive impairment. The assessment of contemporaneous TC follows the criteria derived from the Banks v Goodfellow case, which do not bind capacity solely on the basis of presence of a cognitive disorder. Although effort is being made for establishing more objective criteria for TC judgment, variations in situational complexity call for incorporating the different circumstances of the testator in capacity assessment. Artificial intelligence (AI) technologies such as statistical machine learning have been used in forensic psychiatry mainly for the prediction of aggressive behavior and recidivism but little has been done in the area of capacity assessment. However, the statistical machine learning model responses are difficult to interpret and explain, which presents problems with regard to the new General Data Protection Regulation (GDPR) of the European Union. In this Perspective we present a framework for an AI decision support tool for TC assessment. The framework is based on AI decision support and explainable AI (XAI) technology

Business · Cognitive psychology · European union · Machine learning · Artificial Intelligence in Law · Computer Science · Insurance and Financial Risk Management · Law, Economics, and Judicial Systems · Psychology · Artificial Intelligence

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