Artificial Intelligence has shown remarkable potential in
generating alt-text for images and tables. Here's why:
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.
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
Copyright Concerns in AI-Generated Alt-text
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.
Addressing Copyright Concerns
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
Continuous Monitoring and Updates: AI models are regularly
updated to refine their accuracy and address any emerging legal or ethical
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.