TY - GEN
T1 - Explainable AI in Healthcare
AU - Pawar, Urja
AU - O'Shea, Donna
AU - Rea, Susan
AU - O'Reilly, Ruairi
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - Artificial Intelligence (AI) is an enabling technology that when integrated into healthcare applications and smart wearable devices such as Fitbits etc. can predict the occurrence of health conditions in users by capturing and analysing their health data. The integration of AI and smart wearable devices has a range of potential applications in the area of smart healthcare but there is a challenge in the black box operation of decisions made by AI models which have resulted in a lack of accountability and trust in the decisions made. Explainable AI (XAI) is a domain in which techniques are developed to explain predictions made by AI systems. In this paper, XAI is discussed as a technique that can used in the analysis and diagnosis of health data by AI-based systems and a proposed approach presented with the aim of achieving accountability. transparency, result tracing, and model improvement in the domain of healthcare.
AB - Artificial Intelligence (AI) is an enabling technology that when integrated into healthcare applications and smart wearable devices such as Fitbits etc. can predict the occurrence of health conditions in users by capturing and analysing their health data. The integration of AI and smart wearable devices has a range of potential applications in the area of smart healthcare but there is a challenge in the black box operation of decisions made by AI models which have resulted in a lack of accountability and trust in the decisions made. Explainable AI (XAI) is a domain in which techniques are developed to explain predictions made by AI systems. In this paper, XAI is discussed as a technique that can used in the analysis and diagnosis of health data by AI-based systems and a proposed approach presented with the aim of achieving accountability. transparency, result tracing, and model improvement in the domain of healthcare.
KW - Explainable AI
KW - Personalised Connected Healthcare
KW - Smart healthcare
UR - https://www.scopus.com/pages/publications/85089240196
U2 - 10.1109/CyberSA49311.2020.9139655
DO - 10.1109/CyberSA49311.2020.9139655
M3 - Conference contribution
AN - SCOPUS:85089240196
T3 - 2020 International Conference on Cyber Situational Awareness, Data Analytics and Assessment, Cyber SA 2020
BT - 2020 International Conference on Cyber Situational Awareness, Data Analytics and Assessment, Cyber SA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Cyber Situational Awareness, Data Analytics and Assessment, Cyber SA 2020
Y2 - 15 June 2020 through 19 June 2020
ER -