What are the ethical considerations in AI regarding contextual awareness?
Ethical considerations in AI contextual awareness include privacy, bias, and the potential for manipulation.
Can you elaborate on how bias affects AI's contextual awareness?
Bias can lead to misinterpretations of context, resulting in unfair treatment or decisions based on skewed data.
What measures can be taken to mitigate these biases?
Implementing diverse training data, regular audits, and transparency in algorithms can help mitigate biases.
How does privacy play a role in contextual awareness?
Privacy concerns arise when AI systems collect and analyze personal data to understand context, potentially infringing on user rights.
What are some real-world examples of these ethical issues?
Examples include facial recognition technology misidentifying individuals and targeted advertising exploiting personal data.
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