Zines on fairness in AI systems: Feels Fair?
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Four zines, four steps to fair AI
The individual zines take a step-by-step look at the most important aspects of fairness and AI. In four chapters, we accompany Techie, a data scientist, on their journey towards fairer AI systems. The zines explain how AI systems are developed and trained. What biases can influence the decisions made by AI? And which mathematical methods are used to measure fairness?
Zine 1: How are AI models developed?
This zine gives an introduction to the basics of AI development.
Zine 2: Where does unfairness come from?
Explains the origin of biases and how they influence the decisions of AI systems.
Zine 3: How can fairness be measured?
This zine explains fairness metrics and how they are applied in practice.
Zine 4: How can a fair AI system be developed?
This zine shows which approaches and methods are available to make AI systems fairer.
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Zines - complete - English - fairness in AI systems.pdf
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(2.7 MB)
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Related works
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- Physical object: 10.5281/zenodo.13903110 (DOI)
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