Bias in AI: European Union Agency for Fundamental Rights (FRA) and Thomson Reuters

Addressing Bias in AI: Solutions, Tools, and Techniques

In today's world, artificial intelligence (AI) is becoming a big part of our lives. However, with its rise comes a concern about bias in AI systems. Let's explore the solutions, tools, and techniques highlighted in two important documents—one from the European Union Agency for Fundamental Rights (FRA) and the other from Thomson Reuters.

Solutions from the FRA Report on Bias in Algorithms

The FRA document discusses the need for regulating AI to prevent bias and discrimination. It offers several key solutions and insights:

Regular Assessments

Transparency and Explainability

Bias Mitigation Techniques

Diverse Language Tools

Human Oversight

Solutions from the Thomson Reuters Report on Addressing Bias

The Thomson Reuters document focuses on the regulatory landscape and provides a different perspective on solutions:

Impact Assessments

Explainability in AI

Auditing Techniques

Technical Tools

Ethical Guidelines

Checklist Approaches

Inclusive Data Sets


Revision #3
Created 2 January 2025 14:49:35 by Admin
Updated 2 January 2025 17:05:31 by Admin