This chapter examines ethical concerns in artificial intelligence (AI), including algorithmic bias, data privacy, and transparency. It emphasizes creating a fair and inclusive educational experience in nursing, guiding educators on instilling ethical values. The discussion offers practical insight and addresses methods to mitigate AI’s potential to reinforce bias while ensuring equity and fairness in AI-enhanced nursing education. Policy guidance, ethical frameworks, and regulatory guidelines are evaluated to navigate the evolving ethical landscape of AI in healthcare.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Ethical Considerations in AI Integration

  • Renee McLeod-Sordjan

摘要

This chapter examines ethical concerns in artificial intelligence (AI), including algorithmic bias, data privacy, and transparency. It emphasizes creating a fair and inclusive educational experience in nursing, guiding educators on instilling ethical values. The discussion offers practical insight and addresses methods to mitigate AI’s potential to reinforce bias while ensuring equity and fairness in AI-enhanced nursing education. Policy guidance, ethical frameworks, and regulatory guidelines are evaluated to navigate the evolving ethical landscape of AI in healthcare.