The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572
17 snips
May 12, 2022 
Meg Mitchell, Chief Ethics Scientist at Hugging Face, dives into the crucial interplay between ethical AI and data governance. She discusses her transition from big tech to prioritizing coding in her current role, emphasizing the importance of diverse data representation. Meg highlights evolving data curation practices, ethical documentation through Model Cards, and the pressing need for transparency to mitigate biases in AI. The conversation also touches on challenges in distinguishing AI-generated content from human-written material, raising concerns about misinformation.
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Prioritize Coding in AI Ethics
- Prioritize coding in AI ethics by joining smaller companies or open-source communities.
- Larger companies often replace coding time with meetings as you progress.
Data-Centric AI Ethics
- Current AI ethics discussions emphasize data and datasets, including data curation and governance.
- This shift focuses on encoding human values into data and dataset development to minimize harm.
Data Sovereignty and AI Bias
- AI biases often stem from data collection practices, particularly regarding inclusivity and exploitation.
- Advocate for data sovereignty, ensuring communities' rights over their data.