Diversity in Artificial Intelligence
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About
Diversity in Artificial Intelligence is an initiative aimed at preventing racial, gender, age, and disability discrimination through the latest advances in AI. The organization examines issues related to AI bias and engages in various research projects, including studying organizational diversity using deep neural networks. It emphasizes the importance of diverse training data to improve AI systems' fairness and accuracy. By conducting discussions, seminars, hackathons, audits, and sharing open datasets, the organization promotes inclusion, equality, and diversity in AI development and application. The pilot studies and case studies reveal how bias affects AI performance in different demographics, offering a pathway toward unbiased AI solutions.
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Task
Features
• research on ai bias
• open datasets for training
• discussion forums for thought leaders
• collaboration on ai diversity strategies
• case studies on ai discrimination
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