Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572
Research#AI Ethics📝 Blog|Analyzed: Dec 29, 2025 07:42•
Published: May 12, 2022 16:43
•1 min read
•Practical AIAnalysis
This article from Practical AI discusses ethical considerations in AI development, focusing on data rights, governance, and responsible data practices. It features an interview with Meg Mitchell, a prominent figure in AI ethics, who discusses her work at Hugging Face and her involvement in the WikiM3L Workshop. The conversation covers data curation, inclusive dataset sharing, model performance across subpopulations, and the evolution of data protection laws. The article highlights the importance of Model Cards and Data Cards in promoting responsible AI development and lowering barriers to entry for informed data sharing.
Key Takeaways
- •The article emphasizes the importance of ethical considerations in AI development.
- •It highlights the role of data governance and responsible data practices.
- •Model Cards and Data Cards are presented as tools for promoting responsible AI development.
Reference / Citation
View Original"We explore her thoughts on the work happening in the fields of data curation and data governance, her interest in the inclusive sharing of datasets and creation of models that don't disproportionately underperform or exploit subpopulations, and how data collection practices have changed over the years."