The Ethics Crunch

Confronting Bias and Privacy in Data Science

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In the age of artificial intelligence (AI) and big data, the ethical challenges of bias and privacy have never been more urgent. As AI-based decisions increasingly determine our daily lives, from employment to medical diagnostics, fears of algorithmic discrimination and individual data protection are escalating. Governments, businesses, and advocacy organisations across the globe are grappling with finding a balance between technological advancement and moral accountability. As of March 2025, a few major developments showcase both the progress and the ongoing challenges in AI ethics, bias reduction, and data privacy.

The Push for Regulation: There Goes Artificial Intelligence Control

Generally, the pace at which legislators have moved to create regulatory frameworks addressing artificial intelligence ethics is an indication that they attach considerable importance to these regulations. Most especially, on May 17, 2024, the Council of Europe ratified the Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law. An open international treaty, it refers to a resolve that AI will be in keeping with human rights and democratic values. Most interestingly, many countries, particularly the United States, the United Kingdom, and the European Union, adhered to this, signifying a move toward international regulation over AI.