Resource List¶
As we begin the Combatting Bias project, we’re creating a resource list1 to gather and share resources on bias, dataset creation, documentation, and FAIR principles. Our goal is to build a diverse, ever-expanding collection of materials—not just academic papers, but also films, exhibitions, fiction, and more2. We want this list to reflect a wide range of perspectives and approaches to bias.
📂 Resource List: Access and Contribute Here
The Challenge of “Sorting Things Out”¶
We’ve started with broad categories like Bias, Dataset Creation and Documentation, and FAIR Principles, but as we explore, we’re finding that “bias” can represent many interconnected themes, such as:
- Transparency
- Absences/Silences
- Representation
- Discrimination
- Power
- Positionality/Situatedness
- Categorisation
- Interpretation
- Fairness
- Truth?
Collaboration¶
While the list is currently open for viewing and suggesting resources, we’re working toward making it more manageable and community-driven in the future. Have a resource or a better categorisation idea or ways to manage such a repository collectively? We’d love to hear from you: combattingbias[at]gmail[dot]com.
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We’ve been inspired by Casey Fiesler’s spreadsheet on AI Ethics and Policy news ↩
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Where possible, we’ve included links to open access publications that are not behind paywalls. However, we haven’t always been able to secure these for every resource. ↩