Why your AI might be biased (and what you can do about it)
Explains the causes of bias in AI systems, focusing on training data and proxy variables, and offers practical steps for developers to mitigate it.
Explains the causes of bias in AI systems, focusing on training data and proxy variables, and offers practical steps for developers to mitigate it.
Analyzes public reactions to AI bias claims, contrasting them with responses to traditional software bugs, using a viral example.
Explores privacy risks, bias, dependence, misinformation, and manipulation dangers associated with conversational AI and chatbots.