Diversity in AI
Moustapha highlights the critical need for diversity within the AI community, emphasizing that models reflect the biases present in their training data. He argues that to build technology that serves a global population, it's essential to include diverse voices and perspectives in the data collection process. Accessibility to conferences and resources remains a significant barrier for many aspiring contributors from underrepresented regions.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Security and Safety in AI: Adversarial Examples, Bias and Trust with Moustapha Cissé - #108
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