Vince I Madai
Dados Biográficos
| ID | 6960226 |
|---|---|
| NOME | Vince I Madai |
| PRENOMES | Vince I |
| SOBRENOME | Madai |
| ASSINATURA | MADAI V I |
| AFILIAÇÕES | Birmingham City University |
| ORCID | 0000-0002-8552-6954 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2021 |
| ÍNDICE H | 0 |
On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls
Artificial Intelligence (AI) has the potential to greatly improve the delivery of healthcare and other services that advance population health and wellbeing. However, the use of AI in healthcare also brings potential risks that may cause unintended harm. To guide future developments in AI, the High-Level Expert Group on AI set up by the European Commission (EC), recently published ethics guidelines for what it terms “trustworthy” AI. These guidel…
Co-Design of a Trustworthy AI System in Healthcare
This paper documents how an ethically aligned co-design methodology ensures trustworthiness in the early design phase of an artificial intelligence (AI) system component for healthcare. The system explains decisions made by deep learning networks analyzing images of skin lesions. The co-design of trustworthy AI developed here used a holistic approach rather than a static ethical checklist and required a multidisciplinary team of experts working w…
Explainability for artificial intelligence in healthcare
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Explainability for artificial intelligence in healthcare
On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls
Artificial Intelligence (AI) has the potential to greatly improve the delivery of healthcare and other services that advance population health and wellbeing. However, the use of AI in healthcare also brings potential risks that may cause unintended harm. To guide future developments in AI, the High-Level Expert Group on AI set up by the European Commission (EC), recently published ethics guidelines for what it terms “trustworthy” AI. These guidel…
Co-Design of a Trustworthy AI System in Healthcare
This paper documents how an ethically aligned co-design methodology ensures trustworthiness in the early design phase of an artificial intelligence (AI) system component for healthcare. The system explains decisions made by deep learning networks analyzing images of skin lesions. The co-design of trustworthy AI developed here used a holistic approach rather than a static ethical checklist and required a multidisciplinary team of experts working w…
Artificial Intelligence in Healthcare and Education (3 obras) · Computer Science (3 obras) · Engineering (3 obras) · Health care (3 obras) · Knowledge management (3 obras) · Artificial Intelligence (2 obras) · Engineering ethics (2 obras) · Ethics and Social Impacts of AI (2 obras) · Law (2 obras) · Medicine (2 obras)