Abstract
Data science has an increasing responsibility in society, which means it needs to consider more than just technical skills. Data scientists must recognize and embrace this responsibility, acknowledging its ethical, moral, and societal implications. Addressing these responsibilities ensures that data science is used for the benefit of society while preserving individual rights. Data science’s impact on privacy, autonomy, and well-being requires prioritizing personal data protection and respecting privacy rights. Ethical data handling, informed consent, and robust security measures are imperative to prevent unauthorized access and misuse of personal information. Upholding these principles fosters trust between individuals and the data-driven systems influencing their lives, ultimately guiding data science toward a socially responsible and ethically sound future.
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This chapter was written by Jordi Vitrià.
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Igual, L., Seguí, S. (2024). Responsible Data Science. In: Introduction to Data Science. Undergraduate Topics in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-031-48956-3_12
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