What are the limitations of AI in learning?
AI has several limitations in learning, such as lack of common sense, inability to understand context fully, and reliance on data quality.
Can AI learn from fewer examples than humans?
Generally, AI requires more data to learn effectively compared to humans, who can learn from just a few examples.
How does bias affect AI learning?
Bias in training data can lead to biased AI models, which may produce unfair or inaccurate results.
Are there any ethical concerns with AI learning?
Yes, ethical concerns include privacy issues, accountability for decisions made by AI, and the potential for job displacement.
What future advancements might overcome these limitations?
Future advancements may include improved algorithms, better data collection methods, and interdisciplinary approaches to AI development.
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