What are some real-world examples of AI trade-offs?
AI trade-offs often involve balancing accuracy, fairness, and privacy. For instance, facial recognition technology can improve security but may lead to privacy concerns and bias against certain demographics.
Can you give me another example?
Sure! In healthcare, AI can analyze patient data to provide better diagnoses, but it may also risk patient confidentiality and data security.
What about in self-driving cars?
In self-driving cars, the trade-off is between safety and efficiency. While AI can optimize routes for faster travel, it may prioritize speed over safety in certain scenarios.
How do companies decide on these trade-offs?
Companies often conduct risk assessments, stakeholder consultations, and ethical reviews to determine the best balance between benefits and potential harms.
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