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What is Epistemic Risks in Big Data Analytics about?

This paper examines the epistemic risks associated with Big Data Analytics in scientific discovery, highlighting issues such as data biases, algorithmic opacity, and challenges in inductive reasoning. It emphasizes the need for methodological rigor, transparency, and interdisciplinary collaboration to mitigate these risks and ensure the reliability of scientific findings. The authors advocate for policy recommendations and ethical frameworks to enhance the integrity of Big Data research across various field

Author

International Journal of Innovative Science and Research Technology

Language

EN