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  • Equitable AI Cookbook

AI Safety

  • Responsible Innovation
  • Trustworthiness: Key Components
  • Safety Recipes
  • AI Safety Assurance
  • Continuous Safety Monitoring
  • Red Teaming

A Proactive Monitoring Pipeline

  • Continuous Delivery of Safe AI
  • Structuring the Codebase and Team Responsibilities
  • Bias Detection throughout the Pipeline
  • System Transparency Artefacts
  • Observing Changes in the Codebase

Data Practices

  • Tracking Data Operations
  • Exploring Participatory Data Governance
  • The ODI’s Data Taxonomy

Fairness

  • Understanding Fairness Notions in Data-Driven Decision Making
  • Bias Types in ML Pipeline
  • Design Patterns for Monitoring Fairness/Safety
  • Mitigating Bias
  • Fairness Metadata Management Flow
  • Fairness Reporting

Use Case: Finance

  • Fairness of Large Language Models in Finance
  • A Practical Review of Financial Large Language Models
  • Evaluating and Mitigating Fairness in Financial Services: A Human-AI Interaction Perspective
  • Interpretability tools for improving fairness and equity
  • Reading List: LLMs in Finance - UK Context

Use Case: Biometrics

  • Fairness in Face Biometrics

References

  • References
  • Repository
  • Open issue

Index

By Alpay Sabuncuoglu

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