Practical AI The practicalities of releasing models
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Nov 1, 2022 Dive into the complexities of AI licensing and ethics, with insights on Creative Commons and Responsible AI Licenses. Explore innovations in voice synthesis technology, revealing how customized voices can change media production. Discover the impact of synthesized voices on marginalized communities and the ethical dilemmas they present. Finally, learn about graph neural networks and their advanced applications, showcasing their advantages in data analysis and real-world scenarios. This blend of tech, ethics, and creativity drives the conversation forward!
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RAIL License Experience
- Daniel Whitenack's team released benchmark models with a Responsible AI License (RAIL).
- This experience provided practical insights into licensing models, balancing data restrictions, and community benefits.
Understanding RAIL Licenses
- RAIL licenses allow for usage restrictions on models, similar to software or data licenses.
- This addresses the unique nature of models, which are neither purely data nor software.
Model Restrictions
- Whitenack's team restricted commercial usage and discriminatory uses of their models.
- This approach aimed to honor the non-commercial licenses of the original data and protect indigenous communities.