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AI in Software Development and Its Potential Influence on Accessibility Compliance.

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This summary is machine-generated.

Artificial intelligence (AI) can improve digital accessibility, but requires domain knowledge and human oversight. This study examines AI

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Area of Science:

  • Computer Science
  • Information Technology
  • Digital Accessibility

Background:

  • Artificial intelligence (AI) is increasingly integrated into digital services.
  • Ensuring accessibility compliance in digital services is crucial.
  • Norway's national e-health service provider, Norsk helsenett (NHN), is exploring AI for accessibility.

Purpose of the Study:

  • To explore the influence of AI systems (AIS) on accessibility compliance at NHN.
  • To assess the deployment of AIS in frontend programming, UI design, and accessibility testing.
  • To identify benefits and challenges of AI in enhancing digital accessibility.

Main Methods:

  • Qualitative analysis of AI systems (AIS) deployment at NHN.
  • Evaluation of AI tools like ChatGPT for accessibility testing.
  • Assessment of GitHub Copilot for accessible code generation.
  • Analysis of AI-driven design tools and development approaches.

Main Results:

  • AI has the potential to enhance digital accessibility compliance.
  • Challenges exist, necessitating domain knowledge and human oversight.
  • Specific AI tools (ChatGPT, GitHub Copilot) show promise but have limitations.
  • Development approaches (component libraries vs. scratch) impact AI integration.

Conclusions:

  • AI can be a valuable tool for improving digital accessibility.
  • Effective implementation requires careful consideration of AI's limitations and human expertise.
  • Further research is needed to optimize AI for accessibility in e-health and other sectors.