2.2 The Lack of Credibility in the AI Market

Despite significant advancements in AI technology, the issue of credibility remains a major challenge for the industry. According to the latest survey by PwC, over 60% of businesses stated that the explainability and transparency of AI systems are the biggest barriers to their widespread deployment of AI. AI systems, especially AI Agents, often lack transparency when making decisions, and the "black box" nature of their algorithmic models makes it difficult for users and regulatory bodies to verify the fairness and correctness of their decision-making processes. This unverifiability increases the risk of system abuse, especially in areas such as finance and healthcare that require a high degree of trust.

Moreover, the autonomy of AI Agents makes existing regulatory mechanisms difficult to effectively respond to their behaviors. In complex and high-risk environments, how to ensure that these intelligent agents follow established rules and can provide traceable operational records has become a major challenge for the widespread adoption of AI. Therefore, enhancing the transparency, fairness, and verifiability of AI systems has become the key to promoting their popularization.