Skip to content
#

ai-ethics

Here are 31 public repositories matching this topic...

Explore the intersection of ethics and technology with 'Trustworthy AI: From Theory to Practice.' This comprehensive guide delves into creating AI models that prioritize privacy, security, and robustness. Featuring practical examples in Python, it covers uncertainty quantification, adversarial machine learning, federated learning, and more.

  • Updated Feb 23, 2024
  • Jupyter Notebook

Fairness in data, and machine learning algorithms is critical to building safe and responsible AI systems from the ground up by design. Both technical and business AI stakeholders are in constant pursuit of fairness to ensure they meaningfully address problems like AI bias. While accuracy is one metric for evaluating the accuracy of a machine le…

  • Updated Oct 11, 2021

Improve this page

Add a description, image, and links to the ai-ethics topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ai-ethics topic, visit your repo's landing page and select "manage topics."

Learn more