10 Ways to Recognize and Mitigate AI Bias A Beginner’s Guide
In this video, Dr. Kimberly Becker discusses critical literacy in the context of AI outputs. She explores various types of biases that can be present in AI-generated content and how to identify them.
Key points covered:
-Different categories of bias, from easier to harder to spot
-Temporal bias and outdated information in AI outputs
-Linguistic bias and its impact on non-native speakers
-The importance of critical thinking when evaluating AI outputs
Dr. Becker emphasizes the need for awareness and critical evaluation of AI-generated content, especially when using it in educational settings.
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