Shape the standards that will govern AI worldwide.
Establishing Global AI Ethics Standards takes a policy- and standards-making view of responsible AI. You learn the ethical principles converging across major frameworks (OECD, UNESCO, IEEE and national strategies), how international standards and norms are actually negotiated and set, and the hard problems of aligning them across differing values and jurisdictions. The course is aimed at those who want to contribute to β not just comply with β the rules of AI. You finish able to reason about the global AI-standards landscape and its formation. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
This course covers establishing global AI ethics standards β the principles, frameworks and international processes shaping how AI is governed across borders.
1. Compare converging global AI-ethics principles.
2. Understand how standards and norms are set.
3. Navigate cross-jurisdiction and value differences.
4. Analyse OECD, UNESCO and IEEE frameworks.
5. Contribute to AI standards and policy.
β’ AI policy and governance professionals
β’ Standards and regulatory staff
β’ Researchers in AI ethics
β’ Students of technology policy
β’ An understanding of global AI-ethics standards.
β’ A standards-formation perspective.
β’ A policy-contribution foundation.
β’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
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| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | TensorFlow |
| Covered Tool / Platform | PyTorch |
| Covered Tool / Platform | Keras |
| Covered Tool / Platform | Scikit-learn |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Hugging Face |
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