Open Source AI: A Path Away from Proprietary Control?
As the world of artificial intelligence (AI) develops, the debate surrounding open source AI as an alternative to entrenched proprietary systems continues to gain traction. At TechCrunch Disrupt 2024, scheduled for October 28-30 in San Francisco, Irene Solaiman from Hugging Face and Ali Farhadi from AI2 will engage in a thought-provoking discussion on this pressing topic.
While AI may seem like a groundbreaking technology, it is often hindered by the dominance of a handful of long-established corporations that control the financial resources and development of AI systems. This situation contrasts sharply with other software fields, like desktop operating systems, where open-source alternatives have flourished. The significant resource demands of building and operating AI models, however, pose a notable challenge to the development of open-source frameworks. What changes are necessary to shift this landscape?
The panel will delve into the complexities of defining, developing, and ensuring access to open AI systems. Solaiman, who’s leading global policy initiatives at Hugging Face—a platform dedicated to providing open access to AI models, datasets, and leaderboards—will share insights alongside Farhadi, a leader at AI2, which emphasizes transparency in its research and model training processes.
Both experts are strong advocates for open access and transparency, yet they are keenly aware of the unique structural challenges that complicate the realization of these ideals in the realm of AI. With a wealth of experience and perspectives, their discourse promises to shed light on the future of AI development and accessibility.
Join us at Disrupt 2024 for a compelling conversation featuring these innovative leaders in AI. Secure your ticket today to ensure your spot at the AI Stage!
