Warning: WP Redis: Connection refused in /www/wwwroot/cmooc.com/wp-content/plugins/powered-cache/includes/dropins/redis-object-cache.php on line 1433
人工智能和大数据中的伦理问题 | MOOC中国 - 慕课改变你,你改变世界

人工智能和大数据中的伦理问题

Ethics in AI and Big Data

Learn how to build and incorporate ethical frameworks in your AI and Big Data technology and business initiatives to add transparency, build trust, and drive adoption.

1563 次查看
Linux基金会
edX
  • 完成时间大约为 6
  • 初级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Discuss business drivers for AI, as well as business and societal dynamics at work in an AI world.

Discuss the key principles for building responsible AI, and learn what are the initial steps to take when planning your AI framework.

Understand what ethics means and how to apply it to AI.

Learn where to start, what considerations should inform your ethical framework, and what this framework should include.

Review pan-industry initiatives on ethical AI.

Discuss the drivers for open source to support AI.

Review the technical and non-technical implications of AI.

课程概况

No longer stuck in the fantasy world of science fiction, Artificial Intelligence (AI) today is a reality, and data is its fuel. It is a key component of the Fourth Industrial Revolution in which the physical, digital and biological worlds are being fused together in a way that will have a tremendous impact on our global culture and economy. While the Fourth Industrial Revolution brings along promises and opportunities, it also raises concerns about security, user privacy, data misuse, and more. People distrust artificial intelligence. It is the responsibility of business and data professionals to change that: add transparency, develop standards and share best practices to build trust and drive AI adoption.

Business and data professionals today need AI frameworks and methods to achieve optimal results while also being good technology and business stewards. This course will teach you why AI and Big Data ethics is so critical and how to apply ethical and legal frameworks to initiatives in the data and analytics profession. You’ll explore practical approaches to data and analytics problems posed by work in AI, Big Data, and Data Science.

课程大纲

Welcome!
Chapter 1. Drivers for Data Science
Chapter 2. Overview of AI and Data Science Ethics
Chapter 3. Building Your Ethical AI Framework
Chapter 4. Open Source and AI
Chapter 5. Going Forward with AI
Final Exam (Verified track only)

千万首歌曲。全无广告干扰。
此外,您还能在所有设备上欣赏您的整个音乐资料库。免费畅听 3 个月,之后每月只需 ¥10.00。
Apple 广告
声明:MOOC中国十分重视知识产权问题,我们发布之课程均源自下列机构,版权均归其所有,本站仅作报道收录并尊重其著作权益。感谢他们对MOOC事业做出的贡献!
  • Coursera
  • edX
  • OpenLearning
  • FutureLearn
  • iversity
  • Udacity
  • NovoEd
  • Canvas
  • Open2Study
  • Google
  • ewant
  • FUN
  • IOC-Athlete-MOOC
  • World-Science-U
  • Codecademy
  • CourseSites
  • opencourseworld
  • ShareCourse
  • gacco
  • MiriadaX
  • JANUX
  • openhpi
  • Stanford-Open-Edx
  • 网易云课堂
  • 中国大学MOOC
  • 学堂在线
  • 顶你学堂
  • 华文慕课
  • 好大学在线CnMooc
  • (部分课程由Coursera、Udemy、Linkshare共同提供)

© 2008-2022 CMOOC.COM 慕课改变你,你改变世界