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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile nagusia:	Kerasidou, A
Formatua:	Journal article
Hizkuntza:	English
Argitaratua:	Elsevier 2021

Antzeko izenburuak

Ethics of artificial intelligence in global health: Explainability, algorithmic bias and trust
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Argitaratua: (2021-10-01)

Artificial intelligence and the ongoing need for empathy, compassion and trust in healthcare
nork: Kerasidou, A
Argitaratua: (2020)

Artificial intelligence and the ongoing need for empathy, compassion and trust in healthcare
nork: Kerasidou, A
Argitaratua: (2020)

The role of trust in global health research collaborations
nork: Kerasidou, A
Argitaratua: (2018)

Healthcare Trust Evolution with Explainable Artificial Intelligence: Bibliometric Analysis
nork: Pummy Dhiman, et al.
Argitaratua: (2023-10-01)

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

Ethical governance is essential to building trust in robotics and artificial intelligence systems
nork: Winfield, A, et al.
Argitaratua: (2018)

Applied artificial intelligence for global child health: Addressing biases and barriers
nork: Vijaytha Muralidharan, et al.
Argitaratua: (2024-08-01)

Applied artificial intelligence for global child health: Addressing biases and barriers.
nork: Vijaytha Muralidharan, et al.
Argitaratua: (2024-08-01)

Austerity, health and ethics
nork: Kerasidou, A, et al.
Argitaratua: (2019)

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

Explainable Artificial Intelligence Methods to Enhance Transparency and Trust in Digital Deliberation Settings
nork: Ilias Siachos, et al.
Argitaratua: (2024-07-01)

Bias in artificial intelligence algorithms and recommendations for mitigation.
nork: Lama H Nazer, et al.
Argitaratua: (2023-06-01)

Bias in artificial intelligence algorithms and recommendations for mitigation
nork: Lama H. Nazer, et al.
Argitaratua: (2023-06-01)

Acceptance, initial trust formation, and human biases in artificial intelligence: Focus on clinicians
nork: Avishek Choudhury, et al.
Argitaratua: (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
nork: Rachel Dlugatch, et al.
Argitaratua: (2023-06-01)

Trust me, I’m a researcher!: The role of trust in biomedical research
nork: Kerasidou, A
Argitaratua: (2016)

Artificial intelligence, academic ethics, and global citizenship
nork: Shely Cathrin, et al.
Argitaratua: (2024-09-01)

Global disparity bias in ophthalmology artificial intelligence applications
nork: Nadia K Waheed, et al.
Argitaratua: (2022-04-01)

Algorithmic discrimination and ethical perspective of artificial intelligence /
nork: Kılıç, Muharrem, editor, et al.
Argitaratua: ([202)

Corrigendum: Acceptance, initial trust formation, and human biases in artificial intelligence: focus on clinicians
nork: Avishek Choudhury, et al.
Argitaratua: (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
nork: Hallowell, N, et al.
Argitaratua: (2022)

Data-driven research and healthcare: public trust, data governance and the NHS
nork: Kerasidou, A, et al.
Argitaratua: (2023)

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

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

Before and beyond trust: reliance in medical AI
nork: Kerasidou, CX, et al.
Argitaratua: (2021)

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

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

Ethical content in artificial intelligence systems: A demand explained in three critical points
nork: Ana Luize Corrêa Bertoncini, et al.
Argitaratua: (2023-03-01)

Ethics in Artificial Intelligence: Toward Foundations for Global Policy
nork: Choucri, Nazli
Argitaratua: (2022)

COVID-19 pandemic and artificial intelligence: challenges of ethical bias and trustworthy reliable reproducibility?
nork: Casimir Kulikowski, et al.
Argitaratua: (2021-03-01)

Editorial: Explainable artificial intelligence
nork: Chathurika S. Wickramasinghe, et al.
Argitaratua: (2023-10-01)

Explainable Artificial Intelligence in education
nork: Hassan Khosravi, et al.
Argitaratua: (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
nork: Nina Hallowell, et al.
Argitaratua: (2022-11-01)

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

Global gene network exploration based on explainable artificial intelligence approach.
nork: Heewon Park, et al.
Argitaratua: (2020-01-01)

Data-driven research and healthcare: public trust, data governance and the NHS
nork: Angeliki Kerasidou, et al.
Argitaratua: (2023-07-01)

The Use of Artificial Intelligence in Health and Ethical Problems
nork: Leyla Özdemir, et al.
Argitaratua: (2021-12-01)

Considerations for addressing bias in artificial intelligence for health equity
nork: Michael D. Abràmoff, et al.
Argitaratua: (2023-09-01)

Designing an Interpretability-Based Model to Explain the Artificial Intelligence Algorithms in Healthcare
nork: Mohammad Ennab, et al.
Argitaratua: (2022-06-01)