The Ethical Side of Data Science: Challenges and Responsibilities

The ethical side of data science involves addressing challenges like bias in algorithms, data privacy, and transparency. Data scientists have the responsibility to ensure fair, unbiased analysis, protect user data, and make ethical decisions in model deployment. Upholding integrity in data usage is crucial for societal trust and accountability.