When to Use Humans and AI for Image Descriptions

Voice of the Blind has learned about an insightful mental model to help decide when to rely on human input versus AI for image descriptions. This model, shared by the AppleVis Blog, is not about which app is best, but rather about determining the reliability needed at any given moment. The model consists of three distinct layers.

Human in the Loop

At the top layer, termed 'Need it right,' the advice is clear and straightforward: involve a human when mistakes matter. This applies to situations involving safety, money, health, or legal decisions. When accuracy is crucial, such as reading medication packaging or checking the safety of food, involving a human is essential. No AI system today can promise infallibility, even the best can be confidently wrong. Therefore, when the stakes are high, human intervention remains indispensable.

Mixture of Models

The middle layer, 'Want it right,' highlights an innovative approach. Instead of depending on a single AI model, some systems use multiple models and compare their outputs. If only one model supports a specific result, it is treated with caution. The focus is on what the models agree upon. This ensures a balance between reliability and efficiency, offering a better chance of getting accurate descriptions.

These tiers guide users in selecting the most appropriate method for obtaining image descriptions. Whether tapping into AI tools like Access AI, Be My AI, Seeing AI, or involving human verification, this model helps in making informed choices.