Ethics of artificial intelligence in global health: Explainability, algorithmic bias and trust

Ethics of artificial intelligence in global health: Explainability, algorithmic bias and trust

AI has the potential to disrupt and transform the way we deliver care globally. It is reputed to be able to improve the accuracy of diagnoses and treatments, and make the provision of services more efficient and effective. In surgery, AI systems could lead to more accurate diagnoses of health proble...

Cur síos iomlán

Sonraí bibleagrafaíochta
Príomhchruthaitheoir:	Kerasidou, A
Formáid:	Journal article
Teanga:	English
Foilsithe / Cruthaithe:	Elsevier 2021

Míreanna comhchosúla

Ethics of artificial intelligence in global health: Explainability, algorithmic bias and trust
de réir: Angeliki Kerasidou
Foilsithe / Cruthaithe: (2021-10-01)

Artificial intelligence and the ongoing need for empathy, compassion and trust in healthcare
de réir: Kerasidou, A
Foilsithe / Cruthaithe: (2020)

Artificial intelligence and the ongoing need for empathy, compassion and trust in healthcare
de réir: Kerasidou, A
Foilsithe / Cruthaithe: (2020)

The role of trust in global health research collaborations
de réir: Kerasidou, A
Foilsithe / Cruthaithe: (2018)

Healthcare Trust Evolution with Explainable Artificial Intelligence: Bibliometric Analysis
de réir: Pummy Dhiman, et al.
Foilsithe / Cruthaithe: (2023-10-01)

Explainable Artificial Intelligence for Bias Detection in COVID CT-Scan Classifiers
de réir: Iam Palatnik de Sousa, et al.
Foilsithe / Cruthaithe: (2021-08-01)

Ethical governance is essential to building trust in robotics and artificial intelligence systems
de réir: Winfield, A, et al.
Foilsithe / Cruthaithe: (2018)

Applied artificial intelligence for global child health: Addressing biases and barriers
de réir: Vijaytha Muralidharan, et al.
Foilsithe / Cruthaithe: (2024-08-01)

Applied artificial intelligence for global child health: Addressing biases and barriers.
de réir: Vijaytha Muralidharan, et al.
Foilsithe / Cruthaithe: (2024-08-01)

Austerity, health and ethics
de réir: Kerasidou, A, et al.
Foilsithe / Cruthaithe: (2019)

Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care
de réir: Dlugatch, R, et al.
Foilsithe / Cruthaithe: (2023)

Explainable Artificial Intelligence Methods to Enhance Transparency and Trust in Digital Deliberation Settings
de réir: Ilias Siachos, et al.
Foilsithe / Cruthaithe: (2024-07-01)

Bias in artificial intelligence algorithms and recommendations for mitigation.
de réir: Lama H Nazer, et al.
Foilsithe / Cruthaithe: (2023-06-01)

Bias in artificial intelligence algorithms and recommendations for mitigation
de réir: Lama H. Nazer, et al.
Foilsithe / Cruthaithe: (2023-06-01)

Acceptance, initial trust formation, and human biases in artificial intelligence: Focus on clinicians
de réir: Avishek Choudhury, et al.
Foilsithe / Cruthaithe: (2022-08-01)

Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care
de réir: Rachel Dlugatch, et al.
Foilsithe / Cruthaithe: (2023-06-01)

Trust me, I’m a researcher!: The role of trust in biomedical research
de réir: Kerasidou, A
Foilsithe / Cruthaithe: (2016)

Artificial intelligence, academic ethics, and global citizenship
de réir: Shely Cathrin, et al.
Foilsithe / Cruthaithe: (2024-09-01)

Global disparity bias in ophthalmology artificial intelligence applications
de réir: Nadia K Waheed, et al.
Foilsithe / Cruthaithe: (2022-04-01)

Algorithmic discrimination and ethical perspective of artificial intelligence /
de réir: Kılıç, Muharrem, editor, et al.
Foilsithe / Cruthaithe: ([202)

Corrigendum: Acceptance, initial trust formation, and human biases in artificial intelligence: focus on clinicians
de réir: Avishek Choudhury, et al.
Foilsithe / Cruthaithe: (2024-02-01)

“I don’t think people are ready to trust these algorithms at face value”: trust and the use of machine learning algorithms in the diagnosis of rare disease
de réir: Hallowell, N, et al.
Foilsithe / Cruthaithe: (2022)

Data-driven research and healthcare: public trust, data governance and the NHS
de réir: Kerasidou, A, et al.
Foilsithe / Cruthaithe: (2023)

What do algorithms explain? The issue of the goals and capabilities of Explainable Artificial Intelligence (XAI)
de réir: Moritz Renftle, et al.
Foilsithe / Cruthaithe: (2024-06-01)

Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research
de réir: James Shaw, et al.
Foilsithe / Cruthaithe: (2024-04-01)

Before and beyond trust: reliance in medical AI
de réir: Kerasidou, CX, et al.
Foilsithe / Cruthaithe: (2021)

Addressing Fairness, Bias, and Appropriate Use of Artificial Intelligence and Machine Learning in Global Health
de réir: Richard Ribón Fletcher, et al.
Foilsithe / Cruthaithe: (2021-04-01)

On the practical, ethical, and legal necessity of clinical Artificial Intelligence explainability: an examination of key arguments
de réir: Justin Blackman, et al.
Foilsithe / Cruthaithe: (2025-03-01)

Ethical content in artificial intelligence systems: A demand explained in three critical points
de réir: Ana Luize Corrêa Bertoncini, et al.
Foilsithe / Cruthaithe: (2023-03-01)

Ethics in Artificial Intelligence: Toward Foundations for Global Policy
de réir: Choucri, Nazli
Foilsithe / Cruthaithe: (2022)

COVID-19 pandemic and artificial intelligence: challenges of ethical bias and trustworthy reliable reproducibility?
de réir: Casimir Kulikowski, et al.
Foilsithe / Cruthaithe: (2021-03-01)

Editorial: Explainable artificial intelligence
de réir: Chathurika S. Wickramasinghe, et al.
Foilsithe / Cruthaithe: (2023-10-01)

Explainable Artificial Intelligence in education
de réir: Hassan Khosravi, et al.
Foilsithe / Cruthaithe: (2022-01-01)

“I don’t think people are ready to trust these algorithms at face value”: trust and the use of machine learning algorithms in the diagnosis of rare disease
de réir: Nina Hallowell, et al.
Foilsithe / Cruthaithe: (2022-11-01)

Trusted artificial intelligence for environmental assessments: An explainable high-precision model with multi-source big data
de réir: Haoli Xu, et al.
Foilsithe / Cruthaithe: (2024-11-01)

Global gene network exploration based on explainable artificial intelligence approach.
de réir: Heewon Park, et al.
Foilsithe / Cruthaithe: (2020-01-01)

Data-driven research and healthcare: public trust, data governance and the NHS
de réir: Angeliki Kerasidou, et al.
Foilsithe / Cruthaithe: (2023-07-01)

The Use of Artificial Intelligence in Health and Ethical Problems
de réir: Leyla Özdemir, et al.
Foilsithe / Cruthaithe: (2021-12-01)

Considerations for addressing bias in artificial intelligence for health equity
de réir: Michael D. Abràmoff, et al.
Foilsithe / Cruthaithe: (2023-09-01)

Designing an Interpretability-Based Model to Explain the Artificial Intelligence Algorithms in Healthcare
de réir: Mohammad Ennab, et al.
Foilsithe / Cruthaithe: (2022-06-01)