1: AI algorithms can perpetuate bias based on flawed data sources.

2: Facial recognition technology has shown bias against people of color.

3: AI hiring tools have unintentionally favored certain demographics.

4: Healthcare AI systems have shown bias in treatment recommendations.

5: Amazon's recruiting tool discriminated against female job candidates.

6: AI bias can exacerbate existing social inequalities.

7: Bias in AI can lead to discrimination in various industries.

8: Addressing AI bias requires diverse data sets and ethical guidelines.

9: Awareness and accountability are crucial to reduce AI bias.

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