What type of AI harm is exemplified by a lack of human oversight leading to unintended consequences?

The correct answer highlights how safety issues can arise in the context of AI systems, particularly when there is an absence of human oversight. When AI operates without sufficient human intervention, it can lead to decisions or actions that are not aligned with intended outcomes, potentially resulting in harm. Safety issues are particularly significant in scenarios where AI systems are deployed in critical applications, such as autonomous vehicles, healthcare, or manufacturing. Without human oversight, there’s a higher risk of errors, malfunctions, or even catastrophic failures, as the AI may act outside expected parameters or constraints.

Unintended consequences can stem from various factors, such as biases in the training data or unexpected interactions within complex environments. Human oversight serves as an important mechanism for evaluating the AI's behavior and correcting or guiding it when necessary. In the absence of this oversight, the likelihood of safety issues increases, making this type of harm particularly relevant in discussions about effective AI governance and the need for regulatory frameworks that ensure responsible AI deployment.

Other types of harms, such as individual harms or group harms, typically focus on impacts on specific people or communities due to biases or discrimination, while environmental harms often pertain to ecological issues that can arise from AI applications. Safety issues, however, are fundamentally tied to the