What is the impact of feedback on AI development?
Feedback is crucial for AI as it helps improve accuracy, adapt to user needs, and refine algorithms.
Can you give an example of how feedback is used in AI?
Sure! In machine learning, feedback from users helps retrain models to enhance their performance based on real-world data.
What happens if AI doesn't receive feedback?
Without feedback, AI can become stagnant, leading to outdated models that don't meet current user expectations.
How can users provide effective feedback to AI systems?
Users can provide effective feedback by being specific, consistent, and highlighting both positive and negative experiences.
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