AI Ethics research is an emerging field, and to prove our skills, we need to demonstrate our critical thinking and analytical ability. Since it's not reasonable to jump into a full research paper with our newly founded skills, we will instead work on 3 projects that will demonstrate your ability to analyze ethical AI across a variety of topics and situations. These projects include all the skills you've learned in this AI Ethics Specialization.
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Ethics in the Age of AI 專項課程LearnQuest課程信息
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完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 4 門課程（共 4 門）
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, 巴西葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
您將獲得的技能
- analysis
- Ethics
- Artificial Intelligence (AI)
- Bias
- Ethics Of Artificial Intelligence
可靈活調整截止日期
根據您的日程表重置截止日期。
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 4 門課程（共 4 門）
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, 巴西葡萄牙語, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
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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.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 4 分鐘
Introduction
Welcome to the capstone! Get to know a little bit about the projects we will be tackling in this section
完成時間為 4 分鐘
1 個視頻 （總計 4 分鐘）
完成時間為 2 小時
Project 1 - OpenAI: GPT-3 Analysis
Examining bias in a predictive text model
完成時間為 2 小時
1 個閱讀材料
完成時間為 2 小時
Project 2 - Alleghany Screening Analysis
Understanding fairness issues with sensitive predictions
完成時間為 2 小時
1 個閱讀材料
完成時間為 2 小時
Project 3 - Game Theory Algorithm Design
Predicting ethical issues before they arise in model theory
完成時間為 2 小時
1 個閱讀材料
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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