Data Science

The Importance of Privacy Measurement in Machine Learning Models

Testing the Vulnerability of Regression Models to Data Manipulation

Accuracy Degradation Factor: Quantifying Model Performance Shifts Before They Occur

Understanding the Robustness Attackers for Binary Classification

Introducing Holistic AI OSL - An Open-Source Library for Responsible AI Systems

Assessing Biases in LLMs: From Basic Tasks to Hiring Decisions

An Overview of Data Contamination: The Causes, Risks, Signs, and Defenses

Navigating the LLM Benchmark Boom: A Comprehensive Catalogue

What You Need to Know about Knowledge Graphs and RAG Systems

LLM Summarization Metrics

Building Trustworthy Graph Neural Networks

Technical Approaches to Managing Personal Data in Large Language Models

Enhancing Transparency in AI: Explainability Metrics via SHAP Feature Importance with Holistic AI Open-Source Library

Enhancing Transparency in AI: Explainability Metrics for Machine Learning Predictions

Enhancing Transparency in AI: Explainability Metrics via LIME with Holistic AI Library

Holistic AI Library and MLFlow: Creating an End-to-End Application

Six Methods to Mitigate Bias in Multiclassification Machine Learning Models

Visualising Bias Metrics: Insights from Holistic AI's Open-Source Library

Explaining Machine Learning Outputs: The Role of Feature Importance

Debiasing Artificial Neural Networks with Holistic AI and PyTorch

How to Create Interactive Visualisations in Colab with Holistic AI and Plotly

Build Your Own Bias Measuring and Mitigation Dashboard in 5 Steps

Using Python to Mitigate Bias and Discrimination in Machine Learning Models

Bias Mitigation Strategies and Techniques for Classification Tasks

We are in the Age of AI Economies

How Do You Measure Algorithm Efficacy?

Measuring and Mitigating Bias: Introducing Holistic AI's Open-Source Library

SHAP Values: An Intersection Between Game Theory and Artificial Intelligence

Practical and Societal Dimensions of Explainable AI

Insightful Resources for Uncovering Bias in English Speech Recognition

Overcoming Small Sample Sizes When Identifying Bias

Lost in Transl(A)t(I)on: Differing Definitions of AI [Updated]