AI's Trust Problem.

This article explores the trust issues surrounding artificial intelligence (AI) and identifies twelve persistent risks that contribute to skepticism and hinder the widespread adoption of AI. These risks include disinformation, safety and security concerns, ethical concerns, bias, job loss, and environmental impact, among others. The article emphasizes the importance of transparency, regulation, and human involvement in addressing these risks and building trust in AI. It acknowledges that despite efforts to mitigate the risks, the trust gap in AI is likely to persist. The article also highlights the need for training humans to understand and address the trust deficit in AI systems. [Extracted from the article]

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