How can we reduce the risk of AI?

Start with humans in the loop. AI systems should support decisions, not make them in isolation, especially in areas that directly affect people. Regular audits, diverse training data, and clear accountability are key. If no one knows how an artificial intelligence makes a decision, that’s already a red flag.

What are the dangers of AI in customer service?

AI can be efficient, but it’s not always accurate. It might misunderstand what customers are asking, give incorrect information, or escalate minor issues. If the model’s training data wasn’t properly checked, the model could reflect or amplify biases. Heavy reliance on artificial intelligence could lead to losing the customer’s trust.

How does AI affect customers?

It depends on how it’s used. When done right, artificial intelligence speeds up response times and solves simple issues quickly. But when done poorly, it frustrates people, especially when they feel like they’re talking to a wall.

What is the biggest risk of AI?

People often assume that artificial intelligence is always correct or neutral, which is not true. Biased models, flawed logic, and inability to notice and address nuances are the reasons why human quality and sanity checks are essential. The biggest risk isn’t the tech itself; it’s how some people rely on it blindly.

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