Add data ethics and mitigation resources #496
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Description:
This PR adds a new section titled “Data Ethics and Bias Mitigation” to the repository, addressing the importance of ethical considerations in data science.
Changes included:
Introduction to Data Ethics: Overview of ethical considerations in data science.
Identifying and Mitigating Bias: Techniques and methodologies to detect and reduce bias in datasets and models.
Case Studies: Real-world examples highlighting ethical dilemmas and solutions.
Curated Resources:
Data Ethics: The New Competitive Advantage
Fairness and Abstraction in Sociotechnical Systems
AI Now Institute
DataEthics.eu
Issue Reference:
Closes #<495>