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AI UK: Doing better in data science – from algorithmic fairness to diversity
AI and the biased society: Is Europe ready for an algorithmic world?
AI and Diversity Panel Discussion
Professor Dr. Sandra Wachter, "Bias Preservation in Machine Learning"
AI and discrimination: How fair are bias detection tests?
Algorithmic unfairness, infrastructure & genealogies of data | Alex Hanna, Google | DISCOVERY
"How to Fix AI: Solutions to ML Bias (And Why They Don't Matter)" by Joyce Xu
Diversity in AI - How do you ensure using AI avoids maintaining systems which are inherently biased?
Ethical AI - Fairness and Non-Discrimination in AI | AI FOR GOOD WEBINARS
AI, Medicine, and Bias: Diversifying Your Dataset is Not Enough
Spotlight on AI Fairness and AI in Government
Diversity in Computing: Jiahao Chen (Parity AI) on Going from Academia to an Anti-Racist AI Startup
