Why does the use of AI increase the potential for harm in sensitive fields?

The utilization of AI in sensitive fields raises the potential for harm primarily due to the introduction of new, unpredictable behaviors. AI systems, particularly those based on machine learning, learn from data and generate outputs that can be unexpected or difficult to control. This unpredictability can lead to unintended consequences, especially in critical areas such as healthcare, finance, or law enforcement, where decisions made by AI can have significant impact on individuals and communities.

In sensitive domains, the stakes are high, and the complexity of AI can exacerbate risks. For example, in healthcare, an AI system could misdiagnose a condition due to flawed pattern recognition, potentially impacting patient outcomes. Furthermore, if these systems encounter unanticipated scenarios or bias in their training data, the results can be both harmful and damaging. Understanding this unpredictability is essential for adequately managing AI's risks and ensuring its responsible deployment in sensitive areas.