- The paper critiques the framing of certain AI systems as "open" while operationally functioning as "closed."
- It examines how ostensibly open AI models, such as open-source projects, may exhibit proprietary characteristics in access, data usage, or community engagement.
- The paper critiques the framing of certain AI systems as "open" while operationally functioning as "closed."
- It examines how ostensibly open AI models, such as open-source projects, may exhibit proprietary characteristics in access, data usage, or community engagement.
- "Open" systems often lack full transparency in model architecture, training data, and fine-tuning processes.
- Ethical and societal impacts of such systems are compounded by opaque decision-making structures.
- "Open" systems often lack full transparency in model architecture, training data, and fine-tuning processes.
- Ethical and societal impacts of such systems are compounded by opaque decision-making structures.