The ethical relevance of explainibility for AI-solutions for early diagnosis of dementia

Pietro Refolo; Dario Sacchini; R Di Bidino; Sara Consilia Papavero; D Gove; M Tveter; Americo Cicchetti; I Haraldsen

The ethical relevance of explainibility for AI-solutions for early diagnosis of dementia

Pietro Refolo, Dario Sacchini, R Di Bidino, Sara Consilia Papavero, D Gove, M Tveter, Americo Cicchetti, I Haraldsen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The AI-MIND EU funded project aims to develop an artificial intelligence (AI)-based digital tool, which will allow to estimate the risk of people with mild cognitive impairment to develop dementia. To facilitate its implementation in clinical practice, in the project attention is paid to the Health Technology Assessment (HTA) principles, criteria and model. HTA requires to assess clinical, safety, economical, organizational, ethical and legal implications of a given health technology (HT). In the AI-MIND project, first, a group explored the potential impact of the use of an AI on the doctor-patient relationship, then HTA experts identified potentially relevant issues for AI, and finally bioethical experts, trained in HTA, conducted an analysis on the role of explainability, a new ethical issue to take into consideration in an HTA process regarding AI-based HT. A Delphy panel conducted ended in April 2023 allowed to identify HTA issues potentially relevant for AI. 46 qualified experts from mainly provided their feedbacks. The highest level of consensus was reached on the importance of ethical issues, explainability included. Bioethical experts conducted an analysis on the role of explainability for AI-based digital tools for the risk assessment to develop dementia. Both global (information on the model as a whole) and local explainability (information on a specific prediction) were investigated and applied to the specific use case. Attention was dedicated to the designated role in the decision-making process (algorithm-based, -driven, or –determined) of the AI-MIND predicting tool. From the HTA perspective, explainability is increasingly considered crucial for ethical analysis and should be assessed in relation to other aspects such as the design of the technologies, the population target, or the market access. It should be one of the topic to address for building and implementing ethical AI-solutions for early diagnosis of dementia.

Original language	English
Title of host publication	33rd Alzheimer Europe Conference
Pages	N/A
Publication status	Published - 2023
Event	33rd Alzheimer Europe Conference - Helsinki Duration: 16 Oct 2023 → 18 Oct 2023

Conference

Conference	33rd Alzheimer Europe Conference
City	Helsinki
Period	16/10/23 → 18/10/23

Keywords

artificial intelligence

Cite this

@inproceedings{008f40d3861148af9c224981ad203047,

title = "The ethical relevance of explainibility for AI-solutions for early diagnosis of dementia",

abstract = "The AI-MIND EU funded project aims to develop an artificial intelligence (AI)-based digital tool, which will allow to estimate the risk of people with mild cognitive impairment to develop dementia. To facilitate its implementation in clinical practice, in the project attention is paid to the Health Technology Assessment (HTA) principles, criteria and model. HTA requires to assess clinical, safety, economical, organizational, ethical and legal implications of a given health technology (HT). In the AI-MIND project, first, a group explored the potential impact of the use of an AI on the doctor-patient relationship, then HTA experts identified potentially relevant issues for AI, and finally bioethical experts, trained in HTA, conducted an analysis on the role of explainability, a new ethical issue to take into consideration in an HTA process regarding AI-based HT. A Delphy panel conducted ended in April 2023 allowed to identify HTA issues potentially relevant for AI. 46 qualified experts from mainly provided their feedbacks. The highest level of consensus was reached on the importance of ethical issues, explainability included. Bioethical experts conducted an analysis on the role of explainability for AI-based digital tools for the risk assessment to develop dementia. Both global (information on the model as a whole) and local explainability (information on a specific prediction) were investigated and applied to the specific use case. Attention was dedicated to the designated role in the decision-making process (algorithm-based, -driven, or –determined) of the AI-MIND predicting tool. From the HTA perspective, explainability is increasingly considered crucial for ethical analysis and should be assessed in relation to other aspects such as the design of the technologies, the population target, or the market access. It should be one of the topic to address for building and implementing ethical AI-solutions for early diagnosis of dementia.",

keywords = "artificial intelligence, artificial intelligence",

author = "Pietro Refolo and Dario Sacchini and {Di Bidino}, R and Papavero, {Sara Consilia} and D Gove and M Tveter and Americo Cicchetti and I Haraldsen",

year = "2023",

language = "English",

isbn = "N/A",

pages = "N/A",

booktitle = "33rd Alzheimer Europe Conference",

note = "33rd Alzheimer Europe Conference ; Conference date: 16-10-2023 Through 18-10-2023",

}

TY - GEN

T1 - The ethical relevance of explainibility for AI-solutions for early diagnosis of dementia

AU - Refolo, Pietro

AU - Sacchini, Dario

AU - Di Bidino, R

AU - Papavero, Sara Consilia

AU - Gove, D

AU - Tveter, M

AU - Cicchetti, Americo

AU - Haraldsen, I

PY - 2023

Y1 - 2023

N2 - The AI-MIND EU funded project aims to develop an artificial intelligence (AI)-based digital tool, which will allow to estimate the risk of people with mild cognitive impairment to develop dementia. To facilitate its implementation in clinical practice, in the project attention is paid to the Health Technology Assessment (HTA) principles, criteria and model. HTA requires to assess clinical, safety, economical, organizational, ethical and legal implications of a given health technology (HT). In the AI-MIND project, first, a group explored the potential impact of the use of an AI on the doctor-patient relationship, then HTA experts identified potentially relevant issues for AI, and finally bioethical experts, trained in HTA, conducted an analysis on the role of explainability, a new ethical issue to take into consideration in an HTA process regarding AI-based HT. A Delphy panel conducted ended in April 2023 allowed to identify HTA issues potentially relevant for AI. 46 qualified experts from mainly provided their feedbacks. The highest level of consensus was reached on the importance of ethical issues, explainability included. Bioethical experts conducted an analysis on the role of explainability for AI-based digital tools for the risk assessment to develop dementia. Both global (information on the model as a whole) and local explainability (information on a specific prediction) were investigated and applied to the specific use case. Attention was dedicated to the designated role in the decision-making process (algorithm-based, -driven, or –determined) of the AI-MIND predicting tool. From the HTA perspective, explainability is increasingly considered crucial for ethical analysis and should be assessed in relation to other aspects such as the design of the technologies, the population target, or the market access. It should be one of the topic to address for building and implementing ethical AI-solutions for early diagnosis of dementia.

AB - The AI-MIND EU funded project aims to develop an artificial intelligence (AI)-based digital tool, which will allow to estimate the risk of people with mild cognitive impairment to develop dementia. To facilitate its implementation in clinical practice, in the project attention is paid to the Health Technology Assessment (HTA) principles, criteria and model. HTA requires to assess clinical, safety, economical, organizational, ethical and legal implications of a given health technology (HT). In the AI-MIND project, first, a group explored the potential impact of the use of an AI on the doctor-patient relationship, then HTA experts identified potentially relevant issues for AI, and finally bioethical experts, trained in HTA, conducted an analysis on the role of explainability, a new ethical issue to take into consideration in an HTA process regarding AI-based HT. A Delphy panel conducted ended in April 2023 allowed to identify HTA issues potentially relevant for AI. 46 qualified experts from mainly provided their feedbacks. The highest level of consensus was reached on the importance of ethical issues, explainability included. Bioethical experts conducted an analysis on the role of explainability for AI-based digital tools for the risk assessment to develop dementia. Both global (information on the model as a whole) and local explainability (information on a specific prediction) were investigated and applied to the specific use case. Attention was dedicated to the designated role in the decision-making process (algorithm-based, -driven, or –determined) of the AI-MIND predicting tool. From the HTA perspective, explainability is increasingly considered crucial for ethical analysis and should be assessed in relation to other aspects such as the design of the technologies, the population target, or the market access. It should be one of the topic to address for building and implementing ethical AI-solutions for early diagnosis of dementia.

KW - artificial intelligence

UR - http://hdl.handle.net/10807/255794

M3 - Conference contribution

SN - N/A

SP - N/A

BT - 33rd Alzheimer Europe Conference

T2 - 33rd Alzheimer Europe Conference

Y2 - 16 October 2023 through 18 October 2023

ER -

The ethical relevance of explainibility for AI-solutions for early diagnosis of dementia

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Keywords

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