Applying explainable artificial intelligence models for understanding depression among IT workers
Applying explainable artificial intelligence models for understanding depression among IT workers
Artificial Intelligence (AI) systems are getting better and better as each day goes on, but due to the increased complexity of the models that are being used, we are unable to understand how these decisions are being made by the system. Explainable Artificial Intelligence (XAI) is a subfield of AI that aims to provide intelligible explanations to the end-user. This study evaluates people who are at risk of mental illness and detects early signs of depressive symptoms, using XAI approaches.
25-29
Adarsh, V.
a847847c-cb23-4eb4-b06b-ae6ad7e6fbc6
Gangadharan, G.R.
8bfd2f88-da93-4ecb-b26b-62cd5fd11b58
30 November 2022
Adarsh, V.
a847847c-cb23-4eb4-b06b-ae6ad7e6fbc6
Gangadharan, G.R.
8bfd2f88-da93-4ecb-b26b-62cd5fd11b58
Adarsh, V. and Gangadharan, G.R.
(2022)
Applying explainable artificial intelligence models for understanding depression among IT workers.
IT Professional, 24 (5), .
(doi:10.1109/MITP.2022.3209803).
Abstract
Artificial Intelligence (AI) systems are getting better and better as each day goes on, but due to the increased complexity of the models that are being used, we are unable to understand how these decisions are being made by the system. Explainable Artificial Intelligence (XAI) is a subfield of AI that aims to provide intelligible explanations to the end-user. This study evaluates people who are at risk of mental illness and detects early signs of depressive symptoms, using XAI approaches.
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e-pub ahead of print date: 1 September 2022
Published date: 30 November 2022
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Local EPrints ID: 495871
URI: http://eprints.soton.ac.uk/id/eprint/495871
ISSN: 1520-9202
PURE UUID: 2b038a4b-fe72-4f2d-979b-9211893d700d
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Date deposited: 26 Nov 2024 17:44
Last modified: 27 Nov 2024 03:10
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Author:
V. Adarsh
Author:
G.R. Gangadharan
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