[Composed using NotebookLM]

In a world where algorithms influence everything from job offers to loan approvals, do data engineers have a duty to fight bias? In this episode, we explore the ethical challenges of data engineering and the responsibility to build fair, unbiased systems.

From real-world examples of algorithmic discrimination to practical strategies for mitigating bias, we discuss why data engineers must move beyond just pipelines and storage—toward becoming guardians of fairness in AI and analytics.

Join us as we navigate the intersection of technology, ethics, and responsibility. Let’s build a better, more equitable data-driven future!

🔗 Listen now! #DataEthics #BiasInAI #FairnessInData #DataEngineering

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