AI systems can replicate bias if data sources have racial or gender bias, emphasizing the importance of ethical considerations in content creation.
User-centric design should include features like voice interactions and screen reader capability to ensure inclusivity and address diversity in AI systems.
Creating diverse teams of reviewers and decision-makers is essential for addressing bias and ensuring the ethical development of AI applications.
Ethical integration in AI is crucial for creating equitable outputs and addressing deep-rooted ethical issues in the rapidly evolving technological landscape.
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