Skip to main content

Ctrl+K

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
Explore the datasets used in this cookbook
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

Face Fairness Benchmark
Fair Skin Colour Representation in Face Datasets

References

References

Repository
Open issue

Search

Ctrl+K

By Alpay Sabuncuoglu

© Copyright 2024.