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Human-Centered Artificial Intelligence

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Human-Centered Artificial Intelligence

Instructor: Carlos Toxtli Hernandez

Included with

Learn more

6 modules

Gain insight into a topic and learn the fundamentals.

20 reviews

Intermediate level

Some related experience required

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

Build toward a degree

Learn more

6 modules

Gain insight into a topic and learn the fundamentals.

20 reviews

Intermediate level

Some related experience required

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

Build toward a degree

Learn more

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

Assessments

24 assignments

Taught in English

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There are 6 modules in this course

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.

Module details

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.

What's included

13 videos4 readings4 assignments1 discussion prompt

13 videosTotal 99 minutes

Welcome to the Course8 minutes
Human-Centered Computing5 minutes
HCC Perspectives13 minutes
Computational Perspectives10 minutes
User Centered Design8 minutes
Prototyping6 minutes
Experimental Settings4 minutes
Research Methods in HCC10 minutes
Experimental Methods14 minutes
Content Analysis & Grounded Theory7 minutes
Instruments and Measurements5 minutes
Tools and Libraries for HCC Research4 minutes
Closing Thoughts: Embracing the HCC Journey4 minutes

4 readingsTotal 35 minutes

Course Outline10 minutes
Overview of Course Learning Objectives10 minutes
Learner Support Resources10 minutes
Connecting Course Learning Objectives5 minutes

4 assignmentsTotal 90 minutes

Practice Quiz #110 minutes
Practice Quiz #210 minutes
Practice Quiz #310 minutes
Module 1 Quiz60 minutes

1 discussion promptTotal 10 minutes

Introduction Discussion10 minutes

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.

What's included

17 videos1 reading4 assignments

17 videosTotal 175 minutes

Introduction to Artificial Intelligence (AI)13 minutes
Predicting Patterns and Values in Tabular Data5 minutes
Predictions8 minutes
Error Evaluation7 minutes
Binary Classification Basics4 minutes
Neural Networks7 minutes
Convolutional Neural Networks (CNN)8 minutes
Recurrent Neural Networks (RNN)7 minutes
Transformers15 minutes
Large Language Models9 minutes
Machine Learning Approaches23 minutes
Introduction to AI Research Methods10 minutes
Training and Evaluation Metrics for AI Models16 minutes
Evaluation Metrics: Confusion Matrix, Benchmarking, and Ablation Studies5 minutes
Other Machine Learning Model Evaluations19 minutes
Ensuring Reproducibility: Simulations and Controlled Experiments7 minutes
Field Deployments11 minutes

1 readingTotal 10 minutes

Connecting Course Learning Objectives10 minutes

4 assignmentsTotal 90 minutes

Practice Quiz #110 minutes
Practice Quiz #210 minutes
Practice Quiz #310 minutes
Module 2 Quiz60 minutes

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.

What's included

18 videos1 reading4 assignments

18 videosTotal 100 minutes

Introduction to Human-Centered AI4 minutes
HCC Perspectives in HCAI6 minutes
Main Principles of HCAI12 minutes
Reliable, Safe, and Trustworthy Systems5 minutes
Methodologies in Human-Centered Computing7 minutes
Challenges and Critiques in HCAI3 minutes
Fairness, Bias, and Discrimination in AI4 minutes
Research Methods in HCAI6 minutes
Reliability and Robustness in AI Systems5 minutes
Transparency and Explainability in AI5 minutes
Accountability and Safety in HCAI4 minutes
Human Oversight and Control3 minutes
Wellbeing and Accessibility Research in AI4 minutes
Instruments and Measurements in AI Research7 minutes
Detailed Examples of Instrument Usage14 minutes
Practical Application of HCAI5 minutes
Research Directions in HCAI3 minutes
Conclusion and Future Directions5 minutes

1 readingTotal 10 minutes

Connecting Course Learning Objectives10 minutes

4 assignmentsTotal 90 minutes

Practice Quiz #110 minutes
Practice Quiz #210 minutes
Practice Quiz #310 minutes
Module 3 Quiz60 minutes

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.

What's included

18 videos1 reading4 assignments

18 videosTotal 147 minutes

Introduction to Collective Intelligence7 minutes
Benefits and Challenges of Collective Intelligence7 minutes
Crowdsourcing and Collective Intelligence7 minutes
Prediction Markets and Swarm Intelligence8 minutes
Human-AI Collective Intelligence6 minutes
Biases and Ethics in Collective Intelligence7 minutes
Collective Intelligence in Organizations9 minutes
Evaluation of Collective Intelligence8 minutes
Collective Intelligence Platforms and Case Studies10 minutes
Introduction to Hybrid Intelligence10 minutes
Human-AI Division of Labor and Interaction Design10 minutes
Adjustable Autonomy and Mixed-Initiative Interaction7 minutes
Algorithmic Mediation5 minutes
Augmenting Human Capabilities8 minutes
Risks and Ethics of Human-AI Collaboration7 minutes
Applications of Hybrid Intelligence5 minutes
Guided Examples of Collective Intelligence8 minutes
Guided Examples of Hybrid Intelligence19 minutes

1 readingTotal 10 minutes

Connecting Course Learning Objectives10 minutes

4 assignmentsTotal 90 minutes

Practice Quiz #110 minutes
Practice Quiz #210 minutes
Practice Quiz #310 minutes
Module 4 Quiz60 minutes

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.

What's included

17 videos1 reading4 assignments

17 videosTotal 89 minutes

Introduction to Algorithmic Bias4 minutes
Sampling and Selection Bias9 minutes
Data Collection and Representation Biases7 minutes
Aggregation and Time-Related Biases8 minutes
Measurements and Evaluation Biases7 minutes
Model and Algorithm Biases10 minutes
Measuring and Mitigating Algorithmic Bias2 minutes
Fairness-Aware Machine Learning3 minutes
Introduction to Fairness3 minutes
Pre-, In-, Post-Processing Approaches for Fairness5 minutes
Considerations for Algorithmic Fairness4 minutes
Sector-Specific Algorithmic Bias and Future Research Directions4 minutes
Implementing and Evaluating Fairness Metrics and Mitigation Techniques2 minutes
Analyzing and Addressing Bias in Natural Language Processing5 minutes
Case Study: Fair Housing Loan Approval4 minutes
Practical Frameworks and Tools for Ensuring Fairness in AI6 minutes
Fair AI Lifecycle Project: Fair Credit Scoring System8 minutes

1 readingTotal 10 minutes

Connecting Course Learning Objectives10 minutes

4 assignmentsTotal 90 minutes

Practice Quiz #110 minutes
Practice Quiz #210 minutes
Practice Quiz #310 minutes
Module 5 Quiz60 minutes

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.

What's included

9 videos4 readings4 assignments

9 videosTotal 48 minutes

Introduction to AI Alignment6 minutes
Aligning AI with Human Values: Challenges, Theory, and Learning Techniques5 minutes
Reinforcement Learning and Human Feedback: Exploring RLHF Mechanisms6 minutes
Online Learning for Alignment, Value, Locking, and Constitutional AI (RLAIF)5 minutes
Middleware for Alignment: Case Studies on AI Assistants and Social Media6 minutes
Oversight Mechanisms: Alignment Progress Metrics and International Cooperation6 minutes
AI Ethics5 minutes
Moral Deskilling, Ethics Washing, and Moral Overload4 minutes
Ethical Risk Assessment and Technical Solutions3 minutes

4 readingsTotal 25 minutes

Connecting Course Learning Objectives10 minutes
Course Feedback & Ratings5 minutes
Preview the Complete, For-Credit Course5 minutes
Earn Your MS in CS with Clemson5 minutes

4 assignmentsTotal 90 minutes

Practice Quiz #110 minutes
Practice Quiz #210 minutes
Practice Quiz #310 minutes
Module 6 Quiz60 minutes

Build toward a degree

This course is part of the following degree program(s) offered by Clemson University. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹

Instructor

Instructor ratings

(10 ratings)

Carlos Toxtli Hernandez

Clemson University

1 Course1,303 learners

Offered by

Clemson University

Learner reviews

5 stars
55%
4 stars
20%
3 stars
0%
2 stars
0%
1 star
25%

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Reviewed on Jul 4, 2025

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.

Reviewed on Mar 23, 2026

Very relevant in today's world. Simple explanations with practical examples.

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