The black box problem is a challenge in artificial intelligence (AI) that occurs when it’s difficult to understand how an AI system makes decisions.
- The opaque nature of AI models limits users’ understanding of decision-making processes. For example, black-box AI systems can create trust issues among stakeholders.
- Companies should undergo external audits of their AI models and publish findings to promote transparency.
- As the AI Now Institute emphasizes, regulatory measures should ensure that credible auditors evaluate the ethical implications of AI systems.
