Course Code: edllms
Duration: 7 hours
Prerequisites:
  • 对 AI 和机器学习概念有基本的了解
  • 道德决策框架的经验
  • 熟悉法学硕士及其社会影响

观众

  • 人工智能专业人士和伦理学家
  • 数据科学家和工程师
  • 人工智能治理中的政策制定者和利益相关者
Overview:

Large Language Models (LLMs)的道德部署对于确保人工智能技术造福社会,同时将危害降至最低至关重要。本课程探讨了 LLM 开发和使用过程中的伦理挑战和考虑因素。

这种以讲师为主导的现场培训(在线或现场)面向中级人工智能专业人士和伦理学家、数据科学家和工程师,以及希望了解和驾驭法学硕士伦理环境的政策制定者和利益相关者。

在培训结束时,参与者将能够:

  • 确定与 LLM 相关的道德问题和挑战。
  • 将道德框架和原则应用于 LLM 部署。
  • 评估 LLM 的社会影响并降低潜在风险。
  • 制定负责任的人工智能开发和使用战略。

课程形式

  • 互动讲座和讨论。
  • 大量的练习和练习。
  • 在现场实验室环境中动手实施。

课程自定义选项

  • 如需申请本课程的定制培训,请联系我们进行安排。
Course Outline:

人工智能伦理学导论

  • 了解伦理在人工智能中的重要性
  • 历史背景和当前的伦理辩论
  • AI 部署的关键伦理原则

法学硕士的伦理挑战

  • 隐私问题和数据保护
  • LLM 中的透明度、问责制和偏见
  • 法学硕士对就业和社会的影响

将道德框架应用于 LLM

  • 人工智能伦理决策框架
  • 案例研究:LLM部署中的道德困境
  • 制定合乎道德的LLM使用指南

道德 LLM 部署策略

  • 负责任的 AI 开发的最佳实践
  • 与利益相关者和不同观点的互动
  • 在组织内创建道德 AI 文化

动手实验室:法学硕士的伦理分析 Use Cases

  • 分析涉及 LLM 的实际场景
  • 评估伦理影响并制定应对措施
  • 提出调查结果和建议

摘要和后续步骤

Sites Published:

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