Technical and Non-Technical Methods to Achieve Trustworthy AI | CT Academy

Technical and Non-Technical Methods to Achieve Trustworthy AI | CT Academy

AI is transforming our world — but how do we make sure it’s trustworthy? In this video, we break down the rights, principles, requirements, and methods that ensure AI is fair, safe, and aligned with human values.


🔑 You’ll learn:
✅ Rights, principles, and values – fairness, transparency, privacy, and human dignity.
✅ Requirements for trustworthy AI – lawful, ethical, and robust systems.
✅ Technical methods – testing, validation, explainable AI, and privacy-preserving techniques.
✅ Non-technical methods – ethics training, policies, human oversight, and accountability.
✅ AI lifecycle approach – from design and development to use, evaluation, and justification.

⚙️ Whether it’s AI in healthcare, finance, or self-driving cars, these methods ensure technology serves people responsibly while protecting rights and safety.

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