AI Ethics & Safety Collection
A comprehensive collection of notebooks exploring ethical considerations in AI development, bias mitigation strategies, and safety protocols for large language models. This curated set provides essential knowledge for responsible AI development.
Curated by
Dr. Sarah Chen
Stanford AI Lab
Notebooks in this Collection
12 notebooks
# AI Ethics Fundamentals
Exploring the core principles of ethical AI development...Introduction to AI Ethics
Foundational concepts in AI ethics, covering fairness, accountability, transparency, and the societal impact of artificial intelligence systems.
# Detecting Bias in ML Models
Learn how to identify and measure bias...Bias Detection in Machine Learning Models
Techniques and tools for identifying and measuring bias in machine learning models, with practical examples and case studies.
# Implementing Fairness Constraints
Mathematical approaches to fairness...Fairness Constraints in AI Systems
Implementation strategies for building fair AI systems, including mathematical frameworks and real-world applications.
# Neural Network Transparency
Explainable AI techniques...Transparency in Neural Networks
Methods for making neural network decisions more interpretable and transparent to users and stakeholders.
# Privacy in ML
Differential privacy fundamentals...Privacy-Preserving Machine Learning
Techniques for training ML models while protecting user privacy, including differential privacy and federated learning.
# AI Safety Frameworks
Ensuring safe AI deployment...AI Safety Protocols
Best practices and protocols for developing safe AI systems that align with human values and intentions.
# AI Accountability Frameworks
Building accountable systems...Algorithmic Accountability
Frameworks for holding AI systems accountable, including audit trails, documentation, and impact assessments.
# Ethical AI Decisions
Frameworks for ethical choices...Ethical Decision-Making in AI
Decision frameworks for navigating ethical dilemmas in AI development and deployment.
About the Curator
Dr. Sarah Chen
AI Research Scientist at Stanford AI Lab