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Directory > Community > Fairness and Bias

Fairness and Bias

Fairness and Bias

Welcome to AI Fairness and Bias, the category that takes a critical look at one of the most pressing issues in artificial intelligence today. As AI systems increasingly influence decisions in sectors like healthcare, finance, and law enforcement, ensuring these systems are free from bias is crucial. This category serves as an in-depth guide to understanding the complexities and challenges of maintaining fairness in AI. We delve into methodologies for identifying biases in algorithms, ethical considerations, and solutions for creating more equitable AI systems. Whether you’re a researcher focusing on ethical AI, a developer aiming to build unbiased algorithms, or a concerned citizen looking to understand the implications of AI on social justice, AI Fairness and Bias offers you the insights and tools you need.

AI Now Institute

Research on AI Ethics

FAT in ML

Academic Fairness Fairness, Accountability, and Transparency in ML

Algorithmic Justice League

Combatting Algorithmic Bias

Ethical OS

Ethical Tech Toolkit

The Markup

Investigative Tech Journalism

Center for Humane Technology

Ethical Tech Advocacy

Data & Society

Research on Data & Society

Partnership on AI

AI Ethics Partnership
As we work to make AI Fairness and Bias a comprehensive platform, your contributions are indispensable. Have you come across a study, tool, or methodology that has been effective in identifying or mitigating bias in AI? Or do you have ideas for sub-categories, such as 'Ethical AI Guidelines' or 'Bias in Machine Learning'? Your input is invaluable. Click the 'Submit Suggestion' button to share your findings, thoughts, and experiences. By doing so, you're not just enriching this directory; you're actively participating in a broader movement towards creating a more fair and equitable AI landscape. Let's join hands in this vital endeavor and make AI Fairness and Bias the go-to resource for this critical issue.