Data Ethics Fundamentals

Learn how to navigate the ethical challenges of data and AI. Discover key ethical frameworks, how bias creeps into models, and how to protect privacy and build trust.
Course details

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Every dataset carries choices about who is counted, how they're represented, and what a model will do with them, and those choices have ethical weight. In this course, explore the questions that shape how we collect, use, and build models with data. As AI and machine learning spread across industries, discover why data ethics is essential to trust and privacy. Learn how established frameworks-deontology, utilitarianism, virtue ethics, and the ethics of belief-each offer a different lens on the same decision. Examine how bias enters through data collection and curation, and how biased recruitment tools can harm certain groups. Along the way, build the judgment to make stronger, more defensible ethical decisions and earn greater user trust. By the end of this course, you'll be prepared to identify ethical risks and reason through them using established frameworks. This intermediate-level course is an ideal fit for data scientists, analysts, ML practitioners, and anyone committed to responsible data.This course was created by Anaconda, Inc. We are pleased to host this training in our library.
Skills covered

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Data Ethics, Data Science, Data Analysis
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