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Then there is the issue of **_trust_**. People are more likely to trust a system they understand. If we can't see how an AI system works, we might be skeptical of its decisions, especially in high-stakes situations. A lack of transparency can lead to fear and resistance to the adoption of AI technologies. Building trust is essential for widespread acceptance. It requires confidence that the systems are reliable, fair, and safe. The **AI black box** hinders the building of this trust, because it's difficult to reassure people about the reliability of the system if you can't explain how it works.
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