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 專項課程LearnQuest課程信息
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可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 3 門課程（共 4 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為6 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
您將獲得的技能
EthicsMachine LearningEthics Of Artificial IntelligencesecurityPrivacy
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 3 門課程（共 4 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為6 小時
英語（English）
字幕：法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（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.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
Privacy and convenience vs big data
In Module 1, we are going to discuss what true anonymity and privacy mean in machine learning
完成時間為 2 小時
5 個視頻 （總計 19 分鐘）, 2 個閱讀材料, 3 個測驗
5 個視頻
How safe is your data?5分鐘
Algorithms vs privacy3分鐘
Adversarial attacks on privacy5分鐘
Weekly Review1分鐘
2 個閱讀材料
Netflix Prize: Breaking anonymous datasets20分鐘
Clearview AI20分鐘
3 個練習
Knowledge Check10分鐘
Knowledge Check10分鐘
Weekly Quiz30分鐘
完成時間為 2 小時
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
完成時間為 2 小時
4 個視頻 （總計 16 分鐘）, 2 個閱讀材料, 3 個測驗
4 個視頻
Noise vs signal: protecting privacy5分鐘
Implementing differential privacy4分鐘
Weekly Review1分鐘
2 個閱讀材料
Dataset Security20分鐘
Differential Privacy at Apple20分鐘
3 個練習
Knowledge Check10分鐘
Knowledge Check10分鐘
Weekly Quiz30分鐘
完成時間為 2 小時
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
完成時間為 2 小時
5 個視頻 （總計 20 分鐘）, 1 個閱讀材料, 3 個測驗
5 個視頻
Glass box vs black box models4分鐘
Markets and game theory: empowering users4分鐘
Deconstructing algorithmic complexity4分鐘
Weekly Review1分鐘
1 個閱讀材料
Why should I trust you?20分鐘
3 個練習
Knowledge Check10分鐘
Knowledge Check10分鐘
Weekly Quiz30分鐘
關於 Ethics in the Age of AI 專項課程
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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