In this course, we will explore fundamental concepts involved in security and privacy of machine learning projects. Diving into the ethics behind these decisions, we will explore how to protect users from privacy violations while creating useful predictive models. We will also ask big questions about how businesses implement algorithms and how that affects user privacy and transparency now and in the future.
提供方
Ethics in the Age of AI 专项课程LearnQuest课程信息
5,989 次近期查看
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 3 门课程（共 4 门）
中级
完成时间大约为6 小时
英语（English）
字幕：法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
您将获得的技能
- Ethics
- Machine Learning
- Ethics Of Artificial Intelligence
- security
- Privacy
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 3 门课程（共 4 门）
中级
完成时间大约为6 小时
英语（English）
字幕：法语（French）, （欧洲人讲的）葡萄牙语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
提供方
LearnQuest
LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.
授课大纲 - 您将从这门课程中学到什么
完成时间为 2 小时
Privacy and convenience vs big data
In Module 1, we are going to discuss what true anonymity and privacy mean in machine learning
完成时间为 2 小时
5 个视频 （总计 19 分钟）, 2 个阅读材料, 3 个测验
完成时间为 2 小时
Protecting Privacy: Theories and Methods
In Module 2, we are going to take a deeper look at dataset security. We will also look into methods to add privacy to existing and new datasets to protect those individuals in them
完成时间为 2 小时
4 个视频 （总计 16 分钟）, 2 个阅读材料, 3 个测验
完成时间为 2 小时
Building Transparent Models
In Module 3, we will discuss putting ethical, private models into practice. We will explore the explainable AI movement as well as tradeoffs for the teams putting together these algorithms
完成时间为 2 小时
5 个视频 （总计 20 分钟）, 1 个阅读材料, 3 个测验
审阅
来自ARTIFICIAL INTELLIGENCE PRIVACY AND CONVENIENCE的热门评论
由 CA 提供Feb 12, 2021
A good course on balancing between privacy and aggregate results. It tells how anonymization should be done. It did not cover enough the correlations between privacy and accuracy though
由 YL 提供May 22, 2021
The concepts were easier to grasp and a nice introduction into the complexities around algorithmic models and building ethical practices from the outset.
由 SY 提供Apr 2, 2021
A relatively short but interesting course relating to privacy concerns around AI and ways to manage/improve models to address these concerns.
由 AV 提供Jan 16, 2021
Extraordinary course! I've really enjoyed it and learned so much. Classes are very clear and concise. Thank you so much!
关于 Ethics in the Age of AI 专项课程
As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations. In this specialization, we will explore the rise of algorithms, fundamental issues of fairness and bias in machine learning, and basic concepts involved in security and privacy of machine learning projects. We'll finish with a study of 3 projects that will allow you to put your new skills into action.
常见问题
我什么时候能够访问课程视频和作业？
我订阅此专项课程后会得到什么？
有助学金吗？
还有其他问题吗？请访问 学生帮助中心。
