The infrastructure researcher and CSO at Nym joins us for the seventeenth #OKFN100, a series of conversations with over 100 people about the challenges and opportunities facing the open movement
This post discusses our approach to integrating AI into the Open Data Editor. To ensure thoughtful AI integration, we are emphasising the importance of interdisciplinary collaboration, user feedback, and ethical considerations rather than just technical implementation.
How can AI help non-technical users validate and improve the quality of their data in the Open Data Editor, taking into account transparency, privacy, and functionality?
The Open Knowledge Foundation (OKFN) is happy to announce the release of Open Data Editor (ODE) 1.2.0, now a stable open source desktop application that makes working with data easier for people with little to no technical skills.
As part of releasing the first stable version of the Open Data Editor, we publish the feedback from the team at ACIJ, an Argentine non-profit working to promote a more just and inclusive society, free from poverty and discrimination.
With the skills that the panellists have, it would be easier to work for the mainstream tech industry and just go with the flow. But they've all chosen a different path: making software that makes sense. In this conversation, we'll share the trajectories of some open, free/libre, and alternative technologies, and discuss how to tip the scales in our favour amidst a solutionist discourse in an ultra-specialised industry.