Open Source AI 1.0: Shaping the Future of Collaborative AI

Person 1: DeepSeek is the best Open Source AI model!

Person 2: Yes. It is awesome, but is it open source?

Person 1: Yeah. You can download it from Hugging Face.

Person 2: But, can you re-create it?

Person 1: Hmmm ...

The core pillars of Open Source - autonomy, transparency, frictionless reuse, and collaborative innovation, are vital for shaping and navigating the rapidly evolving AI landscape. And with the rise in Open washing, there is a need to better understand what qualifies as Open Source AI and what doesn't.

After years of collaboration with academia and industry, Open Source Initiative (OSI) has finally released the comprehensive definition of Open Source AI (version 1.0), suggesting why society needs these foundational freedoms to ensure AI develops as an empowering, rather than opaque technology.

In this talk, we will discuss the four essential freedoms that an Open Source AI system must grant the unrestricted rights to:

1. Use the system for any purpose,

2. Study its workings and inspect components,

3. Modify it (including its outputs), and

4. Share it, with or without modifications. 

We will also learn that for "open" or "open weights" AI models to be genuinely "Open Source" under this definition, they must be accompanied by the requisite data information and code used in their derivation. This holistic approach ensures verifiability, reproducibility, and provides the bedrock for building true community-driven AI innovation. It also helps in mitigating risks and fostering a more equitable and trustworthy AI ecosystem.

Attendees will learn:

1. How to differentiate between "open" models & "open source" AI models.

2. Understand what constitutes Open Source AI, as defined by the Open Source Initiative (OSI).

3. The Four Foundational Freedoms - freedom to Use, Study, Modify, and Share, that are paramount for fostering innovation, accountability, and user autonomy.

4. Some real world Open Source AI projects.