[HTML][HTML] Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies
E Ferrara - Sci, 2023 - mdpi.com
The significant advancements in applying artificial intelligence (AI) to healthcare decision-
making, medical diagnosis, and other domains have simultaneously raised concerns about …
making, medical diagnosis, and other domains have simultaneously raised concerns about …
Bias amplification in artificial intelligence systems
K Lloyd - arXiv preprint arXiv:1809.07842, 2018 - arxiv.org
As Artificial Intelligence (AI) technologies proliferate, concern has centered around the long-
term dangers of job loss or threats of machines causing harm to humans. All of this concern …
term dangers of job loss or threats of machines causing harm to humans. All of this concern …
A survey on bias and fairness in machine learning
With the widespread use of artificial intelligence (AI) systems and applications in our
everyday lives, accounting for fairness has gained significant importance in designing and …
everyday lives, accounting for fairness has gained significant importance in designing and …
Aequitas: A bias and fairness audit toolkit
P Saleiro, B Kuester, L Hinkson, J London… - arXiv preprint arXiv …, 2018 - arxiv.org
Recent work has raised concerns on the risk of unintended bias in AI systems being used
nowadays that can affect individuals unfairly based on race, gender or religion, among other …
nowadays that can affect individuals unfairly based on race, gender or religion, among other …
A framework for fairness: A systematic review of existing fair ai solutions
B Richardson, JE Gilbert - arXiv preprint arXiv:2112.05700, 2021 - arxiv.org
In a world of daily emerging scientific inquisition and discovery, the prolific launch of
machine learning across industries comes to little surprise for those familiar with the …
machine learning across industries comes to little surprise for those familiar with the …
Algorithm fairness in ai for medicine and healthcare
In the current development and deployment of many artificial intelligence (AI) systems in
healthcare, algorithm fairness is a challenging problem in delivering equitable care. Recent …
healthcare, algorithm fairness is a challenging problem in delivering equitable care. Recent …
Algorithmic fairness in artificial intelligence for medicine and healthcare
In healthcare, the development and deployment of insufficiently fair systems of artificial
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …
[HTML][HTML] The butterfly effect in artificial intelligence systems: Implications for AI bias and fairness
E Ferrara - Machine Learning with Applications, 2024 - Elsevier
The concept of the Butterfly Effect, derived from chaos theory, highlights how seemingly
minor changes can lead to significant, unpredictable outcomes in complex systems. This …
minor changes can lead to significant, unpredictable outcomes in complex systems. This …
Fairlearn: Assessing and improving fairness of ai systems
Fairlearn is an open source project to help practitioners assess and improve fairness of
artificial intelligence (AI) systems. The associated Python library, also named fairlearn …
artificial intelligence (AI) systems. The associated Python library, also named fairlearn …
Data, power and bias in artificial intelligence
S Leavy, B O'Sullivan, E Siapera - arXiv preprint arXiv:2008.07341, 2020 - arxiv.org
Artificial Intelligence has the potential to exacerbate societal bias and set back decades of
advances in equal rights and civil liberty. Data used to train machine learning algorithms …
advances in equal rights and civil liberty. Data used to train machine learning algorithms …