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Ethics

Understanding the ethical implications of artificial intelligence (AI) involves examining its benefits and potential consequences, as well as identifying ways to reduce risks and adverse outcomes.

This image shows Dvija Mehta presenting at TEDxYouth@PPSIJC about ethical artificial intelligence.

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How to Detect

How to Spot AI-Generated Content

AI is creating more content than ever—articles, images, and even videos—but how can you tell the difference between human-made and AI-generated media? 

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Bias in AI

  • When AI Amplifies the Biases of its Users

    Harvard Business Review (2026)

  • There’s More to AI Bias Than Biased Data

    NIST (2022) includes video (1:50)

  • Algorithmic Bias and Fairness

    PBS Crash Course, 2019 (Video 10:56)

  • AI: Training Data & Bias

    The most important aspect of Machine Learning is what data is used to train it, 2019 (Code.org, 2:41).

Ethics of AI

  • What Is AI Ethics?

    AI ethics should evaluate fairness, explainability, robustness, transparency and data privacy.

  • 5 Ethical Considerations of AI in Business

    Harvard Business School (2025)

  • Striking a Balance

    Navigating the Ethical Dilemmas of AI in Higher Education, EDUCAUSE, 2024 (audio option).

  • Partnership of AI forums

    Partnership of AI forums on policy, philanthropy and more (2025).

  • AI Human Rights Impact Assessment Tools

    University of Waterloo (July 2025)

  • AI Ethics Learning Toolkit

    Duke University (2025)

  • Ethics of Artificial Intelligence

    UNESCO

TED Talk

Ethical AI: Why it Matters and What's at Stake

This is a TED Talk by Dvija Mehta about technology and a call to action for developers, business leaders and young innovators to become ethical architects of our digital future, June 2025 (TEDx Talks, 13:20).

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Artificial Intelligence

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