DPS Policy on Use of Artificial Intelligence

DPS Policy on Use of Artificial Intelligence

Using Artificial Intelligence for Alt-text Creation

This article was provided by AI:
Artificial Intelligence has shown remarkable potential in generating alt-text for images and tables. Here's why:

Strengths

Advanced Understanding: Modern AI, especially those using deep learning, can recognize and interpret complex elements in images and tables. They're capable of identifying not just objects, but also actions, emotions, and contexts.

Contextual Relevance: AI can tailor the alt-text to the specific context of the book or document, ensuring that the description aligns with the content and purpose of the image or table.

Efficiency: AI can process and generate alt-texts at a scale and speed unattainable by human effort alone, making it a valuable tool for large-scale publishing.

Weaknesses/Limitations

Nuance and Subjectivity: AI may struggle with abstract or artistic images where interpretation is subjective.

Accuracy and Reliability: While AI has improved, it's not infallible. Misinterpretations can occur, especially with complex or ambiguous visuals.

Copyright concerns arise primarily around the source material AI uses for learning and the output it generates:

Training Data: AI models are trained on large datasets of images and texts. If these datasets contain copyrighted material without proper licensing, it could pose legal issues.

Generated Content: The alt-text generated by AI could inadvertently replicate phrases or descriptions from copyrighted materials it was trained on.

Ethical Data Sourcing: Developers are increasingly focusing on ethically sourcing data for training AI models, ensuring that all materials used are either in the public domain or appropriately licensed.

Originality in Output: AI engines are designed to generate unique descriptions, minimizing the risk of directly copying existing copyrighted content.

Continuous Monitoring and Updates: AI models are regularly updated to refine their accuracy and address any emerging legal or ethical concerns.

In conclusion, AI's role in alt-text generation for images and tables is growing more effective and sophisticated. While challenges remain, particularly in nuances of interpretation and copyright concerns, the technology is rapidly evolving to address these issues, making AI an increasingly valuable tool in making books and other materials more accessible.

DPS and AI

With this background, here is the DPS policy on the use of AI for Alt-text creation:

1. Use of AI engines by DPS is made under strict protective measures.
All images and content submitted for analysis are submitted to AI services under "do not share" provisions, which insulate submitted content from circulation beyond the content owner.
As a result, no image or text submitted will be stored in or shared by the AI engine.  

2. All alt-text created by DPS is provided to the publisher for approval and review through the A++Reader or the ATAR service.  At this point, human intervention may be applied by the publisher to address the "Weaknesses/limitations" concerns above. By this means any or all alt-text content may be deleted or revised before the file is finalized. 

3. The final product (the Accessible ePUB3) is publisher property. 

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