Introduction
AI bias became a major topic in 2020, with growing concerns that AI algorithms were making unfair and discriminatory decisions in hiring, lending, and law enforcement.
⚖ Examples of AI Bias
- Facial Recognition: AI showed racial and gender biases in identifying people.
- Hiring Algorithms: AI hiring tools were found to favor certain demographics.
- Credit Scoring: AI-based loan approvals faced scrutiny for discrimination.
🚀 Solutions & Regulations
- Companies started implementing fairness audits for AI.
- Governments introduced policies to regulate biased AI systems.
- AI transparency and ethical AI research gained momentum.
