What are some examples of bias in AI marketing?
Bias in AI marketing can manifest in various ways, such as targeting specific demographics unfairly or misrepresenting products.
Can you give me a specific example?
Sure! One example is when an AI system used for ad targeting favors certain age groups, leading to older consumers being overlooked.
How can companies avoid these biases?
Companies can avoid biases by using diverse training data, regularly auditing their algorithms, and involving diverse teams in development.
What are the consequences of biased AI marketing?
Consequences include alienating potential customers, damaging brand reputation, and even legal repercussions for discrimination.
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