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.
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Ethics in the Age of AI 专项课程LearnQuest课程信息
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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）
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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
EthicsMachine LearningEthics Of Artificial IntelligencesecurityPrivacy
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）
可灵活调整截止日期
根据您的日程表重置截止日期。
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.
教学大纲 - 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
5 个视频
How safe is your data?5分钟
Algorithms vs privacy3分钟
Adversarial attacks on privacy5分钟
Weekly Review1分钟
2 个阅读材料
Netflix Prize: Breaking anonymous datasets20分钟
Clearview AI20分钟
3 个练习
Knowledge Check10分钟
Knowledge Check10分钟
Weekly Quiz30分钟
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
4 个视频
Noise vs signal: protecting privacy5分钟
Implementing differential privacy4分钟
Weekly Review1分钟
2 个阅读材料
Dataset Security20分钟
Differential Privacy at Apple20分钟
3 个练习
Knowledge Check10分钟
Knowledge Check10分钟
Weekly Quiz30分钟
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
5 个视频
Glass box vs black box models4分钟
Markets and game theory: empowering users4分钟
Deconstructing algorithmic complexity4分钟
Weekly Review1分钟
1 个阅读材料
Why should I trust you?20分钟
3 个练习
Knowledge Check10分钟
Knowledge Check10分钟
Weekly Quiz30分钟
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.
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