What is a major operational risk when using AI systems?

The option that identifies a major operational risk when using AI systems is the environmental impact from high energy consumption. AI systems, particularly those using deep learning algorithms, often require substantial computational power, which can lead to significant energy use. This increased energy consumption not only raises operational costs but also contributes to environmental issues, such as higher carbon emissions if the energy sources are non-renewable.

In the context of operational risk, organizations must consider how their AI implementations may affect their sustainability goals and regulatory compliance related to environmental impact. As AI continues to evolve, balancing technological advancement with environmental responsibility is increasingly critical for organizations seeking to mitigate risks and enhance their reputations.

The other options, while they may hold some relevance in various contexts, do not directly pertain to major operational risks associated with the use of AI systems. Increased data privacy and enhanced data accuracy might actually be seen as benefits rather than risks, while lower hardware costs generally represent an opportunity rather than a threat to operational integrity.