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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/promote-ethical-data-driven-technologies
课程评论：没有评论
课程名称：促进数据驱动技术的伦理使用 概述：新兴技术的最大风险在于依赖数据集的自动化技术中偏见的延续。无论是有意还是无意地产生的种族、性别或人口统计偏见，所创造的解决方案都可能在社会和经济上延续悲惨的不平等。本课程是认证伦理新兴技术人员（CEET）专业证书的五门课程之一，旨在为寻求宣传和促进数据驱动技术伦理使用的学习者提供指导。学生将学习新兴技术及其在数据驱动解决方案中的应用。课程内容涵盖偏见的类型、常见伦理理论以及这些理论如何适用于新兴技术，并探讨与人工智能、机器学习和数据科学等技术相关的法律和伦理隐私概念。在整个课程中，学习者将开始区分哪些偏见可能造成最大的风险，以及应应用哪些原则来战略性地应对伦理考虑。 课程大纲： 1. **识别数据驱动的新兴技术** - 本模块将介绍当前世界上主要的新兴数据驱动技术，并讨论理解这些技术使用的基本概念。 2. **检视与数据驱动技术相关的法律和伦理隐私概念** - 本模块探讨隐私在数据驱动技术中的重要性，从法律和伦理的角度了解数据与隐私的相互作用，以及相关术语和概念。 3. **检视偏见的类型** - 本模块将概述与数据驱动技术相关的偏见概念，特别是各种偏见类型及其对个人和社会的影响。 4. **检视常见伦理理论** - 本模块将涵盖伦理领域的一些主要理论和概念，并将这些理论与人工智能等数据驱动技术的应用联系起来。 5. **检视适用于数据驱动技术的伦理原则** - 本模块介绍一些主要的伦理原则，并展示如何在组织中整合这些伦理原则。 6. **应用所学知识** - 学员将参与一个或多个项目，应用课中所学的知识到实际场景中。 参加本课程后，学习者将具备良好的伦理意识，能够有效倡导和推动数据驱动技术的负责任使用。
Name:Identify Data-Driven Emerging Technologies
Description:The first module in this course will cover some of the major technologies that are currently emerging in the world today, particularly data-driven technologies. The module will also go over some of the concepts that are fundamental to understanding how these technologies are used, without going into too much technical detail.
Name:Examine Legal and Ethical Privacy Concepts as they Relate to Data-Driven Technology
Description:The second module in this course deals with the concept of privacy as it relates to data-driven technologies. You'll learn about the interaction of data and privacy from both a legal and ethical standpoint, as well as terms and concepts that surround these interactions.
Name:Examine Types of Bias
Description:This module outlines the concept of bias as it relates to data-driven technologies. In particular, it focuses on the types of biases out there, and how bias in data-driven technologies affects people and societies.
Name:Examine Common Ethical Theories
Description:This module will cover some of the major theories and concepts that are involved in the field of ethics. It will also tie those theories and concepts to their application in data-driven technologies like AI.
Name:Examine Ethical Principles that Apply to Data-Driven Technology
Description:This module will cover some of the major ethical principles. It will also demonstrate how to integrate those ethical principles in the organization.
Name:Apply What You've Learned
Description:You'll work on one or more projects in which you'll apply your knowledge of the material in this course to practical scenarios.
The greatest risk in emerging technology is the perpetuation of bias in automated technologies dependent upon data sets. Solutions created with racial, gender or demographic bias, whether unintentional or not can perpetuate tragic inequities socially and economically. This is the first of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate and it is designed for learners seeking to advocate and promote the ethical use of data-driven technologies. Students will learn what emerging technologies are and how they can be used to create data driven solutions. You will learn types of bias and common ethical theories and how they can be applied to emerging technology, and examine legal and ethical privacy concepts as they relate to technologies such as artificial intelligence, machine learning and data science fields. Throughout the course learners begin to distinguish which types of bias may cause the greatest risk and which principles to apply to strategically respond to ethical considerations.
