The Open Source community should not write its own definition of an AI system as there are too many dangers with doing that. It’s safer to adopt a well established one.
The OSI led a workshop to define Open Source AI and joined the subsequent presentation by the AI Community of Practice of the DPGA in Addis Ababa. This is how it went.
We are closing out 2023 and the Deep Dive: Defining Open Source AI with a draft Definition v.0.0.3 collaboratively crafted through in-person sessions and online comment contributions. It has been a challenging and rewarding experience. Read further to learn the details of what was done and what is yet to come.
Read a recap of the three key efforts of the OSI addressed at the Open Source Summit Europe 2023.
The global conversation on what constitutes “Open Source AI” continues, hosted by the Open Source Initiative.
Stakeholders gathered at FOSSY 2023 for the first community discussion on defining “open” AI.
The Open Source Initiative kicked off a multi-stakeholder process to define machine learning systems that can be characterized as “Open Source.” This is the recap of the first meeting.
Sharing knowledge and sharing code has always been a key driver for innovation in Artificial Intelligence. Researchers have gathered together since AI was established as a field to develop and advance novel techniques, from Natural Language Processing to Artificial Neural Networks, from Machine Learning to Deep Learning.
As part of an event series, the objective of the panel discussions is to better understand the similarities and differences between AI and what we could call “classic” software, particularly open source software.
Transcript from October 18th Deep Dive: AI Legal panel Stefano Maffulli: All right, Well, thanks everyone, and welcome to Deep …
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