Ethical considerations in data science include ensuring data privacy, maintaining transparency in algorithms, preventing bias in models, and securing informed consent for data usage. It’s crucial to protect personal information, uphold fairness, and avoid discriminatory practices. Data scientists must also be responsible for the consequences of their models, ensuring they contribute positively and ethically to society. Enhance your proficiency in Data Science by joining FITA Academy.
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