Ethics and Safety in Open AI

Übersicht

The Ethics and Safety in Open AI course equips learners with the frameworks and tools needed to ensure responsible use of generative AI models. The course begins with bias detection and mitigation, where learners identify harmful patterns in datasets and outputs, apply quantitative evaluation techniques, and implement mitigation strategies.

Next, learners design and test safety guardrails, including input validation, output filtering, content moderation, and red-teaming practices to strengthen AI systems against misuse. The final module covers content provenance, licensing, and compliance, where learners apply watermarking techniques, implement provenance standards such as C2PA, and evaluate datasets and models for licensing adherence.

Regulatory frameworks like GDPR and CCPA are also introduced. Through hands-on exercises, learners will build safety layers, implement provenance metadata, and prepare compliance-ready audit documentation.

By the end, learners will be able to design open AI applications that prioritize safety, fairness, and accountability.

Lehrplan

• **Module 1: Bias Detection and Mitigation**
Introduction to bias in AI
Identifying harmful patterns in datasets and outputs
Quantitative evaluation techniques for bias detection
Mitigation strategies for bias reduction
• **Module 2: Designing and Testing Safety Guardrails**
Input validation techniques
Output filtering methods
Content moderation strategies
Introduction to red-teaming practices
Strengthening AI systems against misuse
• **Module 3: Content Provenance, Licensing, and Compliance**
Watermarking techniques for content provenance
Implementing provenance standards (e.g., C2PA)
Evaluating datasets and models for licensing adherence
Introduction to regulatory frameworks (e.g., GDPR, CCPA)
Preparing compliance-ready audit documentation
• **Practical Hands-on Exercises**
Building safety layers in AI systems
Implementing and managing provenance metadata
Preparing and conducting compliance audits
• **Course Wrap-up**
Review of key concepts in AI safety and ethics
Best practices for designing responsible open AI applications
Ensuring fairness, accountability, and safety in AI development

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Unterrichtet von

Professionals from the Industry

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Fachgebiete

Artificial Intelligence