What risk arises from superficial compliance in AI governance?

Superficial compliance in AI governance can lead to misleading implementations of policies. When organizations focus solely on meeting regulatory requirements without genuinely integrating ethical considerations into their AI practices, they may present a façade of compliance. This can result in policies that look good on paper but do not reflect the true practices within the organization. Consequently, stakeholders, including users and regulators, may be misled about the effectiveness and ethical implications of the AI systems in question. Such a disconnect can undermine the intended purpose of governance frameworks, as they may fall short in addressing fundamental risks associated with AI deployment, ultimately leading to potential harm or negative impacts on society.

In contrast, complete adherence to ethical standards, effective management of all risks, and increased public trust in the systems are not risks associated with superficial compliance; rather, they represent desirable outcomes of robust governance practices.