- Understanding Bias and Fairness in AI|enabled Healthcare Software🔍
- Artificial Intelligence and Algorithmic Fairness Initiative🔍
- Medical AI fairness resources🔍
- Biased AI can be bad for your health – here's how to promote ...🔍
- Algorithmic fairness audits in intensive care medicine🔍
- Ethical Considerations in the Use of Artificial Intelligence and ...🔍
- On the ethics of algorithmic decision|making in healthcare🔍
- Algorithmic Fairness🔍
Algorithmic fairness in artificial intelligence for medicine and ...
Understanding Bias and Fairness in AI-enabled Healthcare Software
Rules-Based: Algorithms programed to use (generally clinically accepted) rules to guide decision- making. Machine-Learning: Algorithm that use data to create ...
Artificial Intelligence and Algorithmic Fairness Initiative
As part of the initiative, the EEOC will: Issue technical assistance to provide guidance on algorithmic fairness and the use of AI in employment decisions; ...
The literature on AI fairness in medical imaging is growing rapidly, and we do not attempt to provide an exhaustive list of related publications here. Rather, ...
Biased AI can be bad for your health – here's how to promote ...
Promoting algorithmic fairness ... There are several avenues for addressing algorithmic bias: litigation, regulation, legislation and best ...
Algorithmic fairness audits in intensive care medicine
Research on artificial intelligence (AI) has emerged as a promising field that has the potential to improve patient outcomes, for example, by optimizing timing ...
Ethical Considerations in the Use of Artificial Intelligence and ...
To mitigate the bias in AI and ML algorithms, concerted efforts are required across multiple fronts, including data collection, algorithm ...
On the ethics of algorithmic decision-making in healthcare
Furthermore, we elucidate potential pitfalls of involving machine learning in healthcare with respect to paternalism, moral responsibility and fairness. At ...
Algorithmic Fairness - Annual Reviews
A survey on bias and fairness in machine learning. ACM Comput. Surv. 54:6 ... A survey on explainable artificial intelligence (XAI): towards medical XAI.
Algorithmic Fairness in Machine Learning - Mengnan Du
Similarly, the AI-based recruiting tool of a tech company shows discrimination against women by penalizing resumes with the keyword 'women'. The bias and unfair ...
FAIM: Fairness-aware interpretable modeling for trustworthy ...
AI fairness aims to address and mitigate health disparities exacerbated by algorithmic decisions, promoting equitable healthcare delivery.
Ethical Considerations and Fairness in the Use of Artificial ...
Illustrative examples are given of what can go wrong when unintended bias or unfairness in algorithmic development occurs. The importance of ...
On algorithmic fairness in medical practice - PhilArchive
The application of machine-learning technologies to medical practice promises to enhance the capabilities of healthcare professionals in the assessment, ...
The State of Algorithmic Fairness in Mobile Human-Computer ...
This paper explores the intersection of Artificial Intelligence and Machine Learning (AI/ML) fairness and mobile human-computer interaction (MobileHCI).
Algorithmic Fairness: Mitigating Bias in Healthcare AI - Medscape
Algorithmic Fairness: Mitigating Bias in Healthcare AI ... Healthcare is undergoing an artificial intelligence (AI) revolution. Facilitated by ...
Algorithmic Bias in Health Care Exacerbates Social Inequities
As AI plays an increasingly important role in health care, it's crucial for algorithms to be developed in a way that does not exacerbate social ...
Target specification bias, counterfactual prediction, and algorithmic ...
Democratizing AI ethics literacy. Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare. September 16 ...
AI in Healthcare: Counteracting Algorithmic Bias | Deerfield
Fairness and equity must be inherent to the design of medical AI. If AI is not integrated into our healthcare system with great moral and ...
Toward fairness in artificial intelligence for medical image analysis
Dive into the research topics of 'Toward fairness in artificial intelligence for medical image analysis: Identification and mitigation of ...
Algorithmic Individual Fairness and Healthcare: A Scoping Review
Abstract ObjectiveStatistical and artificial intelligence algorithms are increasingly being developed for use in healthcare. These algorithms may reflect ...
Practical Steps for Building Fair AI Algorithms - Coursera
Understand widely used definitions of fairness and bias. Master principles to follow when training models. Design a healthcare algorithm.