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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/ethical-issues-in-ai-and-professional-ethics
课程评论：没有评论
课程名称：人工智能中的伦理问题与职业伦理 课程概述：计算系统和技术在全球大多数人的生活中产生了深远的影响，包括我们的沟通方式、获取信息的途径、社交和医疗服务的接受方式。本课程是三门课程序列中的第二门，重点探讨在计算系统和技术的设计与实施过程中出现的伦理问题，并反思计算对我们社会的广泛影响。本课程将涉及机器学习方法中的算法偏见、职业伦理以及技术中的相关问题。 课程大纲： 1. 课程概述与伦理基础：本周将深入计算、伦理和社会的迷人世界，探讨伦理的基本概念和框架，为整个课程打下坚实基础。学习关键的伦理理论，包括康德主义、美德伦理、功利主义和社会契约理论，通过互动讨论和相关资源，理解这些理论如何塑造我们的道德决策过程以及其在计算技术中的重要性。 2. 算法偏见：本周将探讨算法偏见，重点关注面部识别技术的伦理维度。开始时将概述算法偏见的普遍性及其后果，然后审视现实生活中的算法偏见实例，最后聚焦于面部识别技术，探讨其机制、种族偏见问题以及法律和监管挑战。 3. 计算中的性别与种族：本周将探索性别、种族与算法的交叉点，回顾与性别和种族相关的算法偏见，探讨在招聘过程中运用人工智能的利弊，并分析预测性警务中的复杂性与伦理影响。了解AI系统中普遍存在的种族偏见，以及其在招聘和警务中的伦理挑战及广泛影响，使你能够批判性地评估和应对技术与伦理领域的重要话题。 4. 职业伦理：本周将专注于计算中的职业伦理以及技术工作队伍中的性别与种族考量。学习计算行业伦理行为的基本原则，研究ACM伦理规范作为指导框架。探讨工作场所多样性的重要性及其伦理考量，分析诸如谷歌多样性和性别偏见的现实案例，以及蒂姆尼特·盖布鲁的故事，揭示建设更加包容和伦理的计算工作队伍所面临的挑战与机遇。 5. 生成性人工智能与未来的人工智能：在最后一周，将探讨人工智能的伦理维度，深入探讨生成性人工智能的潜在危险及其实际意义，同时展望人工智能的未来，了解随着AI技术不断发展而出现的复杂伦理问题。通过学习这一周的内容，发展对AI演进过程中伴随的伦理问题的深刻理解，使你能够以负责任和思考性的态度参与这一变革性技术。
Name:Course Overview and Ethical Foundations
Description:In this introductory week, you will delve into the fascinating world of computing, ethics, and society. You will explore the fundamental concepts of ethics and ethical frameworks, providing a solid foundation for the entire course. You will gain insights into key ethical theories, including Kantianism, Virtue Ethics, Utilitarianism, and Social Contract Theory. Through interactive discussions and engaging resources, you will understand how these theories shape our moral decision-making processes and their significance in the context of computing technologies.
Name:Algorithmic Bias
Description:This week, you'll explore algorithmic bias, focusing on the ethical dimensions of facial recognition technology. The beginning of the week will be dedicated to an overview of algorithmic bias, its prevalence, and its consequences. Then, you'll examine real-world instances of algorithmic bias. Towards the end of the week, you'll focus on facial recognition technology by exploring its mechanics, addressing the concerning of racial bias, and the legal and regulatory challenges.
Name:Gender and Race in Computing
Description:This week you'll explore the intersections of gender, race, and algorithms. In the beginning of the week, you'll revisit algorithmic bias focusing bias related to gender and race. You'll explore the advantages and disadvantages of employing AI in hiring processes and unravel the complexities of predictive policing with AI, shedding light on its drawbacks and ethical implications. Then, you'll narrow focus to Gender and Race in Algorithms, specifically addressing the pervasive issue of racial bias in AI systems. Throughout this week, you'll gain a comprehensive understanding of the ethical challenges posed by AI in hiring and policing, as well as the broader implications of gender and race biases in algorithms, empowering you to critically assess and navigate these critical topics in the realm of technology and ethics.
Name:Professional Ethics, including Gender and Race in the Tech Workforce
Description:This week is dedicated to professional ethics in computing and considerations of gender and race in the tech workforce. The first lesson will lay the foundational principles of ethical conduct in the computing industry, examining the ACM code of ethics as a guiding framework. Then, you'll explore the critical need for diversity in the workforce and the ethical considerations surrounding it. Finally, we'll spotlight real-world examples, including diversity and gender biases at tech giant Google, and delve into the compelling story of Timnit Gebru, shedding light on the challenges and opportunities in building a more inclusive and ethical computing workforce. Throughout this week, you'll gain a comprehensive understanding of the ethical dimensions of technology and the importance of diversity and inclusion in shaping the future of computing.
Name:Generative AI and the Future of AI
Description:In this final week you'll explore the ethical dimensions of artificial intelligence. The beginning of the week will venture into the captivating yet challenging world of generative AI, unraveling the potential dangers of its applications while demystifying what generative AI truly entails. Then you'll look to the future of AI, where you'll navigate the complex ethical terrain that emerges as AI technologies continue to advance. Throughout this week, you will develop a profound understanding of the ethical concerns that accompany AI's evolution, equipping you with the knowledge to engage thoughtfully and responsibly with this transformative technology.
Computing systems and technologies fundamentally impact the lives of most people in the world, including how we communicate, get information, socialize, and receive healthcare. This course is the second of a three course sequence that examines ethical issues in the design and implementation of computing systems and technologies, and reflects upon the broad implication of computing on our society. It covers algorithmic bias in machine learning methods, professional ethics, and issues in the t
