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...

Volledige beschrijving

Bibliografische gegevens
Hoofdauteur:	Kerasidou, A
Formaat:	Journal article
Taal:	English
Gepubliceerd in:	Elsevier 2021

Gelijkaardige items

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

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

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

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

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

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

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

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

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

Austerity, health and ethics
door: Kerasidou, A, et al.
Gepubliceerd in: (2019)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Editorial: Explainable artificial intelligence
door: Chathurika S. Wickramasinghe, et al.
Gepubliceerd in: (2023-10-01)

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

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

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

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

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

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

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