FastAI
Ethics & Safety
The principle of ensuring AI systems treat all individuals and groups equitably without discrimination.
Detailed Explanation
Fairness in AI refers to designing systems that treat all individuals and groups equitably, minimizing bias and discrimination. It aims to prevent unfair advantages or disadvantages based on factors like race, gender, or socioeconomic status. Ensuring fairness promotes trust, inclusivity, and ethical integrity, helping AI systems serve diverse populations without perpetuating societal inequalities.
Use Cases
- •Implement bias detection tools to ensure AI recommendations are fair, unbiased, and equitable across diverse user groups.
Related Terms
Other terms in the Ethics & Safety category