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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/big-data-ai-ethics
课程评论：没有评论
课程名称：大数据、人工智能与伦理 课程概述：本课程为你提供计算科学革命的两个主要催化剂——大数据和人工智能的背景知识和实操经验。随着超过99%的信息以数字形式进行传播，且全球98%的人口正在使用数字技术，人类产生了令人印象深刻的数字足迹。从理论上讲，这为理解和塑造社会提供了前所未有的机会。但在实践中，处理这些信息洪流的唯一方法就是使用同样产生这些信息的数字技术。数据是燃料，而机器学习则是从大量数据中提取新知识的引擎。由于这部分数据涉及我们自身，因此，使用算法来更好地了解自己自然会引发伦理问题。因此，本课程将不可避免地讨论研究伦理以及计算社会科学家需要牢记的一些传统和新兴的伦理底线。在动手实验中，你将使用IBM Watson的人工智能工具从人们的数字文本痕迹中提取个性特征，并通过亲自训练两个Google的可教机器，体会机器学习的力量和局限性。 课程大纲： 1. 模块名称：入门与大数据机会 描述：在本模块中，你将能够定义大数据和数字足迹的概念，讨论大数据在社会科学中的表现，以及识别大数据带来的机会。 2. 模块名称：大数据的局限性 描述：在本模块中，你将能够解释大数据的局限性。你将与AI接口IBM Watson一起工作，发现AI如何通过自然语言处理识别个性，分析一个人的个性。 3. 模块名称：人工智能 描述：在本模块中，你将了解人工智能（AI）的历史及其研究领域，通过案例研究审视AI的使用情况，讨论AI的应用，并通过动手练习使用AI创造独特的作品。 4. 模块名称：研究伦理 描述：在本模块中，你将能够定义研究伦理的概念，审视伦理在研究中的作用，讨论在使用AI和大数据时伦理的应用。
Name:Getting Started and Big Data Opportunities
Description:In this module, you will be able to define the idea of big data and digital footprint. You will be able to discuss how big data is represented in social science and identify the opportunities of big data.
Name:Big Data Limitations
Description:In this module, you will be able to explain the limitations of big data. You will work with an AI interface, IBM Watson, and discover how AI can identify personality through Natural Language Processing. You will analyze the personality of a person.
Name:Artificial Intelligence
Description:In this module, you will discover the history of artificial intelligence (AI) and its fields of study. You'll be able to examine how AI is used through case studies. You will be able to discuss the application of AI and you will use AI to create a unique artifact through a hands-on exercise.
Name:Research Ethics
Description:In this module, you will be able to define the term research ethics. You will be able to examine the role ethics plays in conducting research. You will be able to discuss how ethics is applied when using AI and big data.
This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. In theory, this provides unprecedented opportunities to understand and shape society. In practice, the only way this information deluge can be processed is through using the same digital technologies that produced it. Data is the fuel, but machine learning it the motor to extract remarkable new knowledge from vasts amounts of data. Since an important part of this data is about ourselves, using algorithms in order to learn more about ourselves naturally leads to ethical questions. Therefore, we cannot finish this course without also talking about research ethics and about some of the old and new lines computational social scientists have to keep in mind. As hands-on labs, you will use IBM Watson’s artificial intelligence to extract the personality of people from their digital text traces, and you will experience the power and limitations of machine learning by teaching two teachable machines from Google yourself.
