Artificial Intelligence Data Fairness and Bias

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Delve into the critical elements of fairness and bias within artificial intelligence in this comprehensive course offered by Coursera. This curriculum is designed to address the fundamental issues that emerge as machine learning models are increasingly tasked with making significant decisions, from college admissions to loan approvals.

The course emphasizes the importance of preventing models from delivering unfair predictions by examining human biases and promoting dataset awareness. By participating in this course, students will gain invaluable insights into the development of more ethical AI models.

Ideal for individuals interested in Artificial Intelligence Courses, Machine Learning Courses, and Ethics Courses.

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Enseigné par

Sabrina Moore and Brent Summers

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