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Answer :
Final answer:
The AI ethics principle that aims to combat discrimination and ensure equitable outcomes is Fairness. This principle highlights treating individuals equitably and distributing the impact of AI technologies justly across diverse communities. Transparency and accountability are also crucial for implementing fair AI practices.
Explanation:
Understanding AI Ethics Principles
The principle that seeks to combat discrimination and ensure equitable outcomes when AI systems are utilized is called Fairness. This principle emphasizes the importance of treating individuals equitably and ensuring that the benefits and burdens of AI technologies are distributed justly across different demographics.
Fairness in AI involves recognizing and honoring diversity in AI systems' outcomes, prioritizing the needs and rights of various stakeholders, and actively avoiding biases in data and algorithms. For example, ensuring that facial recognition technology works effectively for people of all skin tones is a crucial aspect of fair AI implementation.
Moreover, implementing fair practices in AI governance includes the principles of Transparency and Accountability. Transparency requires organizations to provide insights into how AI systems operate and make decisions, while accountability ensures that there are mechanisms in place to address any discrimination or unfair practices that may arise from AI usage.
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