The Open Source AI Dilemma: Crafting a Clear Definition for Open Source AI

Explore the complexities of defining Open-Source AI in this 42-minute conference talk presented by Ofer Hermoni from LF AI & Data and Mer Joyce from Do Big Good at the Linux Foundation. Delve into the unique challenges AI presents compared to traditional Open-Source Software, examining the balance between innovation and the four fundamental freedoms of Open Source: study, use, modify, and share. Investigate the practicality of open AI frameworks and models, focusing on a pragmatic approach that fosters innovation without requiring complete reproducibility. Engage in a critical discussion about shaping a definition that aligns with AI's evolving nature while balancing openness and technological advancement. Contribute to this vital conversation that aims to navigate the intricate journey of defining Open-Source AI and its potential impact on the future of the field.