Measuring Diversity Impact
James discusses the application of network-based machine learning algorithms to analyze the relationships between individuals and their workplaces, focusing on career development and diversity metrics. He emphasizes the importance of organizations taking ownership of their diversity scores and leveraging available resources to improve transparency and ethical practices. Additionally, he highlights how consumers and investors can make informed decisions based on companies' commitments to diversity and inclusion.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 519: A.I. for Good — with James Hodson
Related Questions