Questions from the Open Source AI Definition session
What was discussed in the Q&A section of the Open Source Initiative’s session at Open Source Summit Europe 2024?
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The Open Source AI Definition: where's the data?
Two years into the “multi-stakeholder process” to define what constitutes as “open source AI”, we are facing a number of issues that are immense, fraught, and nuanced. Why are data excluded from the proposed definition, why are they important, and why are we even doing this?
Understanding open source licenses
How developers interpret and understand open source licenses, with a love letter to good research.
Open source licensing, creativity, innovation, freedom
The definition of open source isn’t arbitrary; it was designed to preserve the rights of those who create open source and codify the responsibilities of those use it. Its hard-won definition deserves defending, even if it is at times inconvenient.
Valuing undervalued superpowers
On doing glue work, a critical role that is too often considered expendable.
A critical look at the disparity of failures in demographic inference tools
What’s in a name? What’s not in a name? And why does this rose not smell so sweet?
Breaking down implications in data and data collection
Who is present in the data we collect? Who isn’t? And what does it matter?
Accessibility is More Than Ramps
Today is Global Accessibility Awareness Day. While the day focuses on digital accessibility, I’d like to take the opportunity to talk about an important aspect of prioritizing accessibility in the technology that we build: creating environments that include disabled employees.
What chickens can teach us about storytelling
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Disability realism and emotional labor
This month’s influential articles dive into discriminatory behavior along two different axes.