DPS Policy on Use of Artificial Intelligence

DPS Policy on Use of Artificial Intelligence

This article was provided by AI:

Using Artificial Intelligence for Alt-text Creation

Strengths

Advanced Understanding
State-of-the-art AI models, particularly those using large language models and computer vision, can recognize and interpret complex elements in images and tables with remarkable accuracy. They can identify objects, actions, emotions, and intricate contextual details.

Contextual Relevance
AI can now better tailor alt-text to the specific context of the document, ensuring descriptions align closely with the content's purpose and surrounding information.

Efficiency and Scalability
AI processes and generates alt-texts at a scale and speed far beyond human capabilities, making it invaluable for large-scale publishing and content creation.

Multilingual Capabilities
Modern AI models can generate alt-text in multiple languages, enhancing accessibility for diverse audiences.

Limitations

Nuance and Subjectivity
While improved, AI may still struggle with highly abstract or artistic images where interpretation is subjective or culturally dependent.

Accuracy in Specialized Fields
For technical or specialized content (e.g., scientific diagrams, complex charts), AI may require human oversight to ensure accuracy.

Bias and Representation
AI models can perpetuate biases present in their training data, potentially leading to misrepresentation or stereotyping in descriptions.

Ethical Considerations in AI-Generated Alt-text

Data Privacy
: Ensuring that images processed for alt-text generation are handled securely and in compliance with data protection regulations.
Transparency
: Clearly indicating when alt-text is AI-generated, allowing users to understand the source of the description.
Inclusivity
: Addressing potential biases in AI-generated descriptions to ensure fair representation across diverse groups.

Best Practices for Using AI in Alt-text Creation

1. Human Oversight: Implement a review process where humans check and refine AI-generated alt-text, especially for critical or sensitive content.
2. Customization: Use AI models that can be fine-tuned on domain-specific data to improve accuracy in specialized fields.
3. Continuous Learning: Regularly update AI models with feedback to improve performance over time.
4. Combination Approach: Use AI as a tool to assist human writers, rather than a complete replacement, to leverage the strengths of both.
5. Quality Assurance: Implement systematic checks to ensure AI-generated alt-text meets accessibility standards and guidelines.

 The Future of AI in Alt-text Creation

As AI technology continues to evolve, we can expect:
– More sophisticated understanding of complex visual elements and their relationships
– Improved handling of context and nuance in descriptions
– Better integration with content management systems for seamless alt-text generation
– Advanced customization options to meet specific industry or user needs

In conclusion, AI's role in alt-text generation for images and tables is becoming increasingly sophisticated and effective. While challenges remain, particularly in nuanced interpretation and ethical considerations, the technology is rapidly evolving. With proper implementation and human oversight, AI is proving to be an invaluable tool in making digital content more accessible to all users.

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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