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Alt text that informs: Meeting the needs of people who are blind or low vision

• A really interesting article by Microsoft that is not (as I suspected from the headline) your typical “how to write good alt text” article.
• A recent Microsoft study found that users who rely on alt text want different alt text depending on the context of the image:
• “For example, if a photo of a person appeared in a news story, people might want a description that includes details about the setting of the image to give a sense of place. But if a photo of a person appeared on a social media or dating website, people might want increased details about that person’s appearance, including some details that may be subjective and/or sensitive, such as race, perceived gender, and attractiveness”.
• “One participant mentioned that knowing the race and gender of people in photos of board members on an employer/employment website might help them understand whether the company values a diverse workplace. These latter examples illustrate practical and ethical challenges for emerging AI systems, such as whether AI systems can – or should – be trained to provide subjective judgments or information about sensitive demographic attributes.”
• The article includes a table of contexts (such as e-commerce, news, dating) cross-checked against properties in an image that would be important to include in the alt text (e.g. weather, expression, hair colour), as indicated by the study’s participants.
• Microsoft concludes that new categories of metadata should be produced to feed into improved machine learning models, and there should be “custom vision-to-language models” that give different alt text depending on the context in which an image appears.

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