软件开发中的AI及其对可访问性合规性的潜在影响
Elise K Fjeld1, Rudolph Brynn1
1Norsk helsenett SF.
Studies in health technology and informatics
|November 19, 2024
概括
人工智能 (AI) 可以提高数字可访问性,但需要领域知识和人类监督. 这项研究考察了AI.
科学领域:
- 计算机科学 计算机科学
- 信息技术 信息技术 信息技术
- 数字可访问性数字可访问性
背景情况:
- 人工智能 (AI) 越来越多地融入到数字服务中.
- 确保数字服务中的可访问性合规性至关重要.
- 挪威国家电子健康服务提供商Norsk helsenett (NHN) 正在探索AI的可访问性.
研究的目的:
- 探索人工智能系统 (AIS) 对NHN可访问性合规性的影响.
- 评估AIS在前端编程,UI设计和可访问性测试中的部署情况.
- 识别人工智能的好处和挑战,以提高数字可访问性.
主要方法:
- 在NHN部署人工智能系统 (AIS) 的定性分析.
- 对像ChatGPT这样的AI工具进行评估,以进行可访问性测试.
- 评估GitHub Copilot用于可访问的代码生成.
- 对人工智能驱动的设计工具和开发方法的分析.
主要成果:
- 人工智能有可能提高数字可访问性合规性.
- 存在挑战,需要领域知识和人类监督.
- 特定的人工智能工具 (ChatGPT,GitHub Copilot) 是有希望的,但也有局限性.
- 开发方法 (组件库与scratch) 影响AI集成.
结论:
- 人工智能可以成为改善数字可访问性的一种有价值的工具.
- 有效实施需要仔细考虑人工智能的局限性和人类的专业知识.
- 需要进一步的研究来优化人工智能在电子健康和其他领域的可访问性.
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