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Coursera

Evaluate and Apply Ethical AI Models

Coursera via Coursera

Overview

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Unlock the power of next-generation AI by mastering evaluation techniques for models that integrate vision, audio, and language capabilities. This course transforms your ability to systematically assess multimodal AI performance and ensure ethical deployment at scale. You'll master cross-modal evaluation metrics like FID, CLIP scores, and recall@k while developing expertise in bias detection and interpretability assessment using LIME and SHAP techniques. By completing this course, you'll confidently evaluate complex AI systems, identify potential ethical risks, and implement governance frameworks that ensure fair and transparent multimodal AI deployment. This unique course combines technical evaluation expertise with ethical AI governance, preparing you for the enterprise reality where performance and responsibility must coexist seamlessly.

Syllabus

  • Module 1: Evaluating Multimodal Model Performance
    • Learners will master cross-modal evaluation metrics to systematically assess multimodal AI model performance in enterprise environments.
  • Module 2: Ethical AI Assessment and Bias Detection
    • Learners will master systematic approaches to assess model bias and apply ethical AI guidelines for responsible multimodal AI deployment.

Taught by

John Whitworth

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