Ethics in AI
Margaret emphasizes the critical importance of data curation in AI ethics, advocating for the incorporation of human values in data set development. She discusses the need for metrics that measure demographic diversity and the potential for harmful stereotypes within data sets. Additionally, she highlights her participation in an interdisciplinary workshop focused on the socio-technical implications of AI, aiming to foster open and transparent discussions within the community.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572
Related Questions
What are the ethical challenges of AI as discussed in the episode Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572 and the clip Ethics in AI?
How can AI be trained on human ethics in the context of the episode Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572 and the clip Ethics in AI?