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Human-Centered Artificial Intelligence

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen. Sehen Sie sich die Sprachen an, die wir anbieten.

Human-Centered Artificial Intelligence

Dozent: Carlos Toxtli Hernandez

Bei enthalten

Mehr erfahren

6 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

20 Bewertungen

Stufe Mittel

Einige einschlägige Kenntnisse erforderlich

Flexibler Zeitplan

2 Wochen bei 10 Stunden eine Woche

In Ihrem eigenen Lerntempo lernen

Auf einen Abschluss hinarbeiten

Mehr erfahren

6 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

20 Bewertungen

Stufe Mittel

Einige einschlägige Kenntnisse erforderlich

Flexibler Zeitplan

2 Wochen bei 10 Stunden eine Woche

In Ihrem eigenen Lerntempo lernen

Auf einen Abschluss hinarbeiten

Mehr erfahren

Kompetenzen, die Sie erwerben

Kategorie: Model Evaluation
Kategorie: Ethical Standards And Conduct
Kategorie: Human Computer Interaction
Kategorie: Machine Learning Methods
Kategorie: Artificial Intelligence and Machine Learning (AI/ML)
Kategorie: Artificial Intelligence
Kategorie: Machine Learning
Kategorie: Responsible AI
Kategorie: Human Centered Design
Kategorie: Data Ethics
Kategorie: Human Machine Interfaces

Werkzeuge, die Sie lernen werden

Kategorie: Generative AI

Wichtige Details

Bewertungen

24 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

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Logos von Petrobras, TATA, Danone, Capgemini, P&G und L'Oreal

In diesem Kurs gibt es 6 Module

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.

Moduldetails

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.

Das ist alles enthalten

13 Videos4 Lektüren4 Aufgaben1 Diskussionsthema

13 VideosInsgesamt 99 Minuten

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

4 LektürenInsgesamt 35 Minuten

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

4 AufgabenInsgesamt 90 Minuten

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

1 DiskussionsthemaInsgesamt 10 Minuten

Introduction Discussion10 Minuten

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.

Das ist alles enthalten

17 Videos1 Lektüre4 Aufgaben

17 VideosInsgesamt 175 Minuten

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

1 LektüreInsgesamt 10 Minuten

Connecting Course Learning Objectives10 Minuten

4 AufgabenInsgesamt 90 Minuten

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

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.

Das ist alles enthalten

18 Videos1 Lektüre4 Aufgaben

18 VideosInsgesamt 100 Minuten

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

1 LektüreInsgesamt 10 Minuten

Connecting Course Learning Objectives10 Minuten

4 AufgabenInsgesamt 90 Minuten

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

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.

Das ist alles enthalten

18 Videos1 Lektüre4 Aufgaben

18 VideosInsgesamt 147 Minuten

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

1 LektüreInsgesamt 10 Minuten

Connecting Course Learning Objectives10 Minuten

4 AufgabenInsgesamt 90 Minuten

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

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.

Das ist alles enthalten

17 Videos1 Lektüre4 Aufgaben

17 VideosInsgesamt 89 Minuten

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

1 LektüreInsgesamt 10 Minuten

Connecting Course Learning Objectives10 Minuten

4 AufgabenInsgesamt 90 Minuten

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

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.

Das ist alles enthalten

9 Videos4 Lektüren4 Aufgaben

9 VideosInsgesamt 48 Minuten

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

4 LektürenInsgesamt 25 Minuten

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

4 AufgabenInsgesamt 90 Minuten

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

Auf einen Abschluss hinarbeiten

Dieses Kurs ist Teil des/der folgenden Studiengangs/Studiengänge, die von Clemson Universityangeboten werden. Wenn Sie zugelassen werden und sich immatrikulieren, können Ihre abgeschlossenen Kurse auf Ihren Studienabschluss angerechnet werden und Ihre Fortschritte können mit Ihnen übertragen werden.¹

Dozent

Lehrkraftbewertungen

(10 Bewertungen)

Carlos Toxtli Hernandez

Clemson University

1 Kurs1.305 Lernende

von

Clemson University

Bewertungen von Lernenden

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

Zeigt 3 von 20 an

Geprüft am 4. Juli 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.

Geprüft am 23. März 2026

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

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