Bias and Fairness in AI
Published On: 20 Mar 2025
Reading Time: 8 minutes
Overview
- What is Bias in AI?
- Sources of Bias
- Data Bias
- Algorithm Bias
- Human Bias
- The Impact of Unfair AI
- Addressing Bias and Promoting Fairness
- Data Auditing and Preprocessing
- Algorithmic Fairness Techniques
- Transparency and Explainability
- Continuous Monitoring and Evaluation
- Ethical Guidelines and Regulations
- The Importance of Ongoing Effort
- Conclusion
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