Sustainability and Ethics in AI AI 可持续发展与技术伦理 (AIB521)

This course addresses fundamental ethical questions and explores concepts and strategies in the development and adoption of AI, focusing on sustainability. It covers ethical principles, biases in AI algorithms, transparency, and accountability. Additionally, it examines privacy, socioeconomic impacts, environmental considerations, and governance structures. Real-world case studies and ethical dilemmas are analysed to encourage critical thinking. Finally, the course emphasizes responsible innovation and stakeholder engagement in designing ethical and sustainable AI technologies. 本课程探讨了人工智能发展与应用中的基本伦理问题，着重关注可持续性。课程涵盖了伦理原则、人工智能算法中的偏见、透明度和问责制。此外，它还研究了隐私、社会经济影响、环境考虑因素和治理结构。通过分析真实案例和伦理困境，鼓励学生进行批判性思考。最后，课程强调了在设计具有伦理和可持续性的人工智能技术时负责任的创新和利益相关者参与。

• Ethical Considerations in AI and Sustainability 人工智能与可持续发展的伦理考量
• Bias and Fairness in AI for Sustainability 人工智能在可持续发展中的偏见和公平性
• Transparency and Accountability 透明度与问责制
• Privacy and Data Protection 隐私与数据保护
• Socioeconomic Impacts of AI 社会经济影响
• Environmental Ethics in AI 环境伦理
• Governance and Regulation for AI 治理与监管
• Case Studies and Ethical Dilemmas 伦理困境案例分析
• Ethical Design and Responsible Innovation 道德设计与负责任创新
• Technology ethics 技术伦理
• AI Industry and Corporate Social Responsibility 人工智能行业与企业社会责任
• Trends in AI Ethics 人工智能伦理趋势

• Critique the different types of ethical issues raised by AI technology 评析人工智能技术引发的不同类型的伦理问题
• Evaluate biases and fairness issues in AI algorithms 检视人工智能算法中存在的偏见和公平性问题
• Formulate strategies to enhance transparency and accountability in AI systems 制定增强人工智能系统透明度和问责制的策略
• Appraise the importance of privacy and data protection in AI applications 评估在人工智能应用中隐私和数据保护的重要性
• Assess environmental, socioeconomic impacts, governance and regulation of AI projects 评价人工智能项目的环境、社会经济影响、治理和监管情况
• Judge the ideas for ethical design and responsible innovation in developing AI technologies for sustainability 评价可持续性人工智能技术的伦理设计和负责任创新