This talk unveils how open source technologies act as catalysts for equitable AI across three pillars. First, inclusive access: We open-source voice datasets tailored for underrepresented groups—such as children and the elderly—to ensure multimodal AI systems understand diverse linguistic patterns and bridge generational divides. Second, equitable data: we have released nearly 100 globally accessible datasets, amassing over 680,000 downloads, empowering developers from any countries to innovate freely. Third, accessible compute: We present FlagOS, an open-source system software that facilitates AI development and deployment across diverse hardware ecosystems—including legacy GPUs and emerging accelerators—while significantly lowering the cost barrier to AI innovation. Collectively, these open-source efforts transform 'AI for Good' into a shared mission—breaking barriers of age, location, and resources to empower anyone to create and benefit from AI.
