What are some ways AI can be designed to be more inclusive?
AI can be made more inclusive by ensuring diverse training data, involving varied user feedback, and implementing accessibility features.
How does diverse training data impact AI inclusivity?
Diverse training data helps AI understand and represent different perspectives, reducing bias and improving overall fairness.
Can you give examples of accessibility features for AI?
Sure! Examples include voice recognition for the hearing impaired, text-to-speech for the visually impaired, and easy navigation for users with disabilities.
What role do users play in making AI more inclusive?
Users provide essential feedback that helps identify biases and gaps, guiding developers to create more inclusive AI systems.
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