References

Please go through the following content for more information on a few topics covered in the chapter:

1. Google apologises for Photos app’s racist blunder: https://www.bbc.com/news/technology-33347866
2. Amazon scraps secret AI recruiting tool that showed bias against women: https://www.reuters.com/article/us-amazon-com-jobs-automation-insight/amazon-scraps-secret-ai-recruiting-tool-that-showed-bias-against-women-idUSKCN1MK08G
3. BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation: https://assets.amazon.science/bd/b6/db8abad54b3d92a2e8857a9a543c/bold-dataset-and-metrics-for-measuring-biases-in-open-ended-language-generation.pdf
4. When does Bias Transfer in Transfer Learning?: https://arxiv.org/pdf/2207.02842.pdf
5. Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal: https://aclanthology.org/2022.findings-acl.55.pdf
6. REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets: https...