Human-Centered Artificial Intelligence

位教师：Carlos Toxtli Hernandez

访问权限由 New York State Department of Labor 提供

6个模块

深入了解一个主题并学习基础知识。

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中级等级

需要一些相关经验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

6个模块

深入了解一个主题并学习基础知识。

17 条评论

中级等级

需要一些相关经验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将获得的技能

Machine Learning
Generative AI
Artificial Intelligence and Machine Learning (AI/ML)
Human Centered Design
Data Ethics
Model Evaluation
Responsible AI
Ethical Standards And Conduct
Artificial Intelligence
Human Computer Interaction
技能部分已折叠。显示 8 项技能，共 10 项。

要了解的详细信息

作业

24 项作业

授课语言：英语（English）

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该课程共有6个模块

Human-Centered Artificial Intelligence (HCC-6600) offers a deep-dive exploration into the ever-evolving landscape of artificial intelligence (AI) with a specific focus on the human aspect of the technology. This course provides an opportunity for learners to grasp the core principles and practices of AI while remaining critically aware of its implications for humanity. This course is designed to offer a well-rounded perspective, blending elements from diverse fields such as computer science, cognitive science, ethics, and design thinking. The aim is to ensure that learners emerge with not just an understanding of how AI systems are created and function, but also how these systems can be designed to respect and prioritize human values and needs.

In this module's Welcome to the Course lesson, review the course syllabus, learning objectives, and resources available. Then get to know your peers by completing the Introduction Discussion. Module 1 includes lectures on Human-Centered Computing (HCC) and research methods in HCC. While watching the lectures, check your understanding with the Practice Quizzes. Use the feedback from the Practice Quizzes to complete the Module 1 Quiz.

涵盖的内容

13个视频4篇阅读材料4个作业1个讨论话题

13个视频总计99分钟

Welcome to the Course 8分钟
Human-Centered Computing 5分钟
HCC Perspectives 13分钟
Computational Perspectives 10分钟
User Centered Design 8分钟
Prototyping 6分钟
Experimental Settings 4分钟
Research Methods in HCC 10分钟
Experimental Methods 14分钟
Content Analysis & Grounded Theory 7分钟
Instruments and Measurements 5分钟
Tools and Libraries for HCC Research 4分钟
Closing Thoughts: Embracing the HCC Journey 4分钟

4篇阅读材料总计35分钟

Course Outline 10分钟
Overview of Course Learning Objectives 10分钟
Learner Support Resources 10分钟
Connecting Course Learning Objectives 5分钟

4个作业总计90分钟

Practice Quiz #1 10分钟
Practice Quiz #2 10分钟
Practice Quiz #3 10分钟
Module 1 Quiz 60分钟

1个讨论话题总计10分钟

Introduction Discussion 10分钟

Module 2 includes lectures on Artificial Intelligence (AI), Human-Centered Artificial Intelligence (HCAI), and research methods in HCAI. While watching the lectures, check your understanding with the Practice Quizzes. Use the feedback from the Practice Quizzes to complete the Module 2 Quiz.

涵盖的内容

17个视频1篇阅读材料4个作业

17个视频总计175分钟

Introduction to Artificial Intelligence (AI) 13分钟
Predicting Patterns and Values in Tabular Data 5分钟
Predictions 8分钟
Error Evaluation 7分钟
Binary Classification Basics 4分钟
Neural Networks 7分钟
Convolutional Neural Networks (CNN) 8分钟
Recurrent Neural Networks (RNN) 7分钟
Transformers 15分钟
Large Language Models 9分钟
Machine Learning Approaches 23分钟
Introduction to AI Research Methods 10分钟
Training and Evaluation Metrics for AI Models 16分钟
Evaluation Metrics: Confusion Matrix, Benchmarking, and Ablation Studies 5分钟
Other Machine Learning Model Evaluations 19分钟
Ensuring Reproducibility: Simulations and Controlled Experiments 7分钟
Field Deployments 11分钟

1篇阅读材料总计10分钟

Connecting Course Learning Objectives 10分钟

4个作业总计90分钟

Practice Quiz #1 10分钟
Practice Quiz #2 10分钟
Practice Quiz #3 10分钟
Module 2 Quiz 60分钟

Module 3 includes lectures on Human-Centered Artificial Intelligence (HCAI), research methods in HCAI, practical applications of HCAI, and the future of HCAI. While watching the lectures, check your understanding with the Practice Quizzes. Use the feedback from the Practice Quizzes to complete the Module 3 Quiz.

涵盖的内容

18个视频1篇阅读材料4个作业

18个视频总计100分钟

Introduction to Human-Centered AI 4分钟
HCC Perspectives in HCAI 6分钟
Main Principles of HCAI 12分钟
Reliable, Safe, and Trustworthy Systems 5分钟
Methodologies in Human-Centered Computing 7分钟
Challenges and Critiques in HCAI 3分钟
Fairness, Bias, and Discrimination in AI 4分钟
Research Methods in HCAI 6分钟
Reliability and Robustness in AI Systems 5分钟
Transparency and Explainability in AI 5分钟
Accountability and Safety in HCAI 4分钟
Human Oversight and Control 3分钟
Wellbeing and Accessibility Research in AI 4分钟
Instruments and Measurements in AI Research 7分钟
Detailed Examples of Instrument Usage 14分钟
Practical Application of HCAI 5分钟
Research Directions in HCAI 3分钟
Conclusion and Future Directions 5分钟

1篇阅读材料总计10分钟

Connecting Course Learning Objectives 10分钟

4个作业总计90分钟

Practice Quiz #1 10分钟
Practice Quiz #2 10分钟
Practice Quiz #3 10分钟
Module 3 Quiz 60分钟

Module 4 includes lectures on collective intelligence, hybrid intelligence, and human-in-the-loop. While watching the lectures, check your understanding with the Practice Quizzes. Use the feedback from the Practice Quizzes to complete the Module 4 Quiz.

涵盖的内容

18个视频1篇阅读材料4个作业

18个视频总计147分钟

Introduction to Collective Intelligence 7分钟
Benefits and Challenges of Collective Intelligence 7分钟
Crowdsourcing and Collective Intelligence 7分钟
Prediction Markets and Swarm Intelligence 8分钟
Human-AI Collective Intelligence 6分钟
Biases and Ethics in Collective Intelligence 7分钟
Collective Intelligence in Organizations 9分钟
Evaluation of Collective Intelligence 8分钟
Collective Intelligence Platforms and Case Studies 10分钟
Introduction to Hybrid Intelligence 10分钟
Human-AI Division of Labor and Interaction Design 10分钟
Adjustable Autonomy and Mixed-Initiative Interaction 7分钟
Algorithmic Mediation 5分钟
Augmenting Human Capabilities 8分钟
Risks and Ethics of Human-AI Collaboration 7分钟
Applications of Hybrid Intelligence 5分钟
Guided Examples of Collective Intelligence 8分钟
Guided Examples of Hybrid Intelligence 19分钟

1篇阅读材料总计10分钟

Connecting Course Learning Objectives 10分钟

4个作业总计90分钟

Practice Quiz #1 10分钟
Practice Quiz #2 10分钟
Practice Quiz #3 10分钟
Module 4 Quiz 60分钟

Module 5 includes lectures on algorithmic bias and AI fairness. While watching the lectures, check your understanding with the Practice Quizzes. Use the feedback from the Practice Quizzes to complete the Module 5 Quiz.

涵盖的内容

17个视频1篇阅读材料4个作业

17个视频总计89分钟

Introduction to Algorithmic Bias 4分钟
Sampling and Selection Bias 9分钟
Data Collection and Representation Biases 7分钟
Aggregation and Time-Related Biases 8分钟
Measurements and Evaluation Biases 7分钟
Model and Algorithm Biases 10分钟
Measuring and Mitigating Algorithmic Bias 2分钟
Fairness-Aware Machine Learning 3分钟
Introduction to Fairness 3分钟
Pre-, In-, Post-Processing Approaches for Fairness 5分钟
Considerations for Algorithmic Fairness 4分钟
Sector-Specific Algorithmic Bias and Future Research Directions 4分钟
Implementing and Evaluating Fairness Metrics and Mitigation Techniques 2分钟
Analyzing and Addressing Bias in Natural Language Processing 5分钟
Case Study: Fair Housing Loan Approval 4分钟
Practical Frameworks and Tools for Ensuring Fairness in AI 6分钟
Fair AI Lifecycle Project: Fair Credit Scoring System 8分钟

1篇阅读材料总计10分钟

Connecting Course Learning Objectives 10分钟

4个作业总计90分钟

Practice Quiz #1 10分钟
Practice Quiz #2 10分钟
Practice Quiz #3 10分钟
Module 5 Quiz 60分钟

Module 6 includes lectures on AI alignment and AI ethics. While watching the lectures, check your understanding with the Practice Quizzes. Use the feedback from the Practice Quizzes to complete the Module 6 Quiz.

涵盖的内容

9个视频4篇阅读材料4个作业

9个视频总计48分钟

Introduction to AI Alignment 6分钟
Aligning AI with Human Values: Challenges, Theory, and Learning Techniques 5分钟
Reinforcement Learning and Human Feedback: Exploring RLHF Mechanisms 6分钟
Online Learning for Alignment, Value, Locking, and Constitutional AI (RLAIF) 5分钟
Middleware for Alignment: Case Studies on AI Assistants and Social Media 6分钟
Oversight Mechanisms: Alignment Progress Metrics and International Cooperation 6分钟
AI Ethics 5分钟
Moral Deskilling, Ethics Washing, and Moral Overload 4分钟
Ethical Risk Assessment and Technical Solutions 3分钟

4篇阅读材料总计25分钟

Connecting Course Learning Objectives 10分钟
Course Feedback & Ratings 5分钟
Preview the Complete, For-Credit Course 5分钟
Earn Your MS in CS with Clemson 5分钟

4个作业总计90分钟

Practice Quiz #1 10分钟
Practice Quiz #2 10分钟
Practice Quiz #3 10分钟
Module 6 Quiz 60分钟

攻读学位

课程是 Clemson University提供的以下学位课程的一部分。如果您被录取并注册，您已完成的课程可计入您的学位学习，您的学习进度也可随之转移。

位教师

授课教师评分

(8个评价)

Carlos Toxtli Hernandez

Clemson University

1 门课程 1,137 名学生

提供方

Clemson University

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已于 Jul 4, 2025审阅

Very interesting and thorougly developed content. I found it difficult to understand the speaker but the transcripts helped a lot. I definitely recommend this course.

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