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Human-Centered Artificial Intelligence · LearnSpace
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Human-Centered Artificial Intelligence

Курс от Clemson University
Средний≈ 21.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Responsible AIHuman Centered DesignArtificial IntelligenceArtificial Intelligence and Machine Learning (AI/ML)Human Computer InteractionModel EvaluationGenerative AIEthical Standards And ConductMachine LearningMachine Learning MethodsData Ethics

Программа курса

6 модулей · 129 учебных материалов

01Module 1: Human-Centered Computing - Designing for People22 материалов

Course Overview

Welcome to the CourseВидеоCourse OutlineЧтениеOverview of Course Learning ObjectivesЧтениеLearner Support ResourcesЧтение

Учитесь у экспертов

Carlos Toxtli Hernandez

Преподаватель курса

Human-Centered Artificial Intelligence
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 21.8 ч

6 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Испанский, Японский, Венгерский

Часть программы вашего университета
Introduction DiscussionОбсуждение

Introduction to Human-Centered Computing

Connecting Course Learning ObjectivesЧтениеHuman-Centered ComputingВидеоHCC PerspectivesВидеоComputational PerspectivesВидеоUser Centered DesignВидеоPrototypingВидеоExperimental SettingsВидеоPractice Quiz #1Задание

Research Methods in Human-Centered Computing

Research Methods in HCCВидеоExperimental MethodsВидеоContent Analysis & Grounded TheoryВидеоPractice Quiz #2ЗаданиеInstruments and MeasurementsВидеоTools and Libraries for HCC ResearchВидеоClosing Thoughts: Embracing the HCC JourneyВидеоPractice Quiz #3Задание

Module 1 Quiz

Module 1 QuizЗадание
02Module 2: Artificial Intelligence22 материалов

An Introduction to Artificial Intelligence

Connecting Course Learning ObjectivesЧтениеIntroduction to Artificial Intelligence (AI)ВидеоPractice Quiz #1ЗаданиеPredicting Patterns and Values in Tabular DataВидеоPredictionsВидеоError EvaluationВидеоBinary Classification BasicsВидеоNeural NetworksВидеоConvolutional Neural Networks (CNN)ВидеоRecurrent Neural Networks (RNN)ВидеоTransformersВидеоLarge Language ModelsВидеоMachine Learning ApproachesВидео

Research Methods in Artificial Intelligence

Introduction to AI Research MethodsВидеоTraining and Evaluation Metrics for AI ModelsВидеоEvaluation Metrics: Confusion Matrix, Benchmarking, and Ablation StudiesВидеоOther Machine Learning Model EvaluationsВидеоPractice Quiz #2ЗаданиеEnsuring Reproducibility: Simulations and Controlled ExperimentsВидео

Module 2 Quiz

Module 2 QuizЗадание
03Module 3: Introduction to Human-Centered AI & Research Methods in HCAI23 материалов

An Introduction to Human-Centered Artificial Intelligence

Connecting Course Learning ObjectivesЧтениеIntroduction to Human-Centered AIВидеоHCC Perspectives in HCAIВидеоMain Principles of HCAIВидеоReliable, Safe, and Trustworthy SystemsВидеоPractice Quiz #1ЗаданиеMethodologies in Human-Centered ComputingВидеоChallenges and Critiques in HCAIВидеоFairness, Bias, and Discrimination in AIВидео

Research Methods in Human-Centered Artificial Intelligence

Research Methods in HCAIВидеоReliability and Robustness in AI SystemsВидеоTransparency and Explainability in AIВидеоPractice Quiz #2ЗаданиеAccountability and Safety in HCAIВидеоHuman Oversight and ControlВидео

Looking Forward in Human-Centered Artificial Intelligence

Practical Application of HCAIВидеоResearch Directions in HCAIВидеоConclusion and Future DirectionsВидео

Module 3 Quiz

Module 3 QuizЗадание
04Module 4: Collective Intelligence and Hybrid Intelligence23 материалов

Collective Intelligence

Connecting Course Learning ObjectivesЧтениеIntroduction to Collective IntelligenceВидеоBenefits and Challenges of Collective IntelligenceВидеоCrowdsourcing and Collective IntelligenceВидеоPrediction Markets and Swarm IntelligenceВидеоHuman-AI Collective IntelligenceВидеоBiases and Ethics in Collective IntelligenceВидеоCollective Intelligence in OrganizationsВидеоEvaluation of Collective IntelligenceВидеоCollective Intelligence Platforms and Case StudiesВидеоPractice Quiz #1Задание

Hybrid Intelligence & Human-in-the-Loop

Introduction to Hybrid IntelligenceВидеоHuman-AI Division of Labor and Interaction DesignВидеоAdjustable Autonomy and Mixed-Initiative InteractionВидеоAlgorithmic MediationВидеоAugmenting Human CapabilitiesВидеоRisks and Ethics of Human-AI CollaborationВидео

Guided Examples

Guided Examples of Collective IntelligenceВидеоGuided Examples of Hybrid IntelligenceВидеоPractice Quiz #3Задание

Module 4 Quiz

Module 4 QuizЗадание
05Module 5: Algorithmic Bias & AI Fairness22 материалов

Algorithmic Bias

Connecting Course Learning ObjectivesЧтениеIntroduction to Algorithmic BiasВидеоSampling and Selection BiasВидеоData Collection and Representation BiasesВидеоAggregation and Time-Related BiasesВидеоMeasurements and Evaluation BiasesВидеоModel and Algorithm BiasesВидеоMeasuring and Mitigating Algorithmic BiasВидеоPractice Quiz #1Задание

AI Fairness

Fairness-Aware Machine LearningВидеоIntroduction to FairnessВидеоPre-, In-, Post-Processing Approaches for FairnessВидеоConsiderations for Algorithmic FairnessВидеоSector-Specific Algorithmic Bias and Future Research DirectionsВидеоImplementing and Evaluating Fairness Metrics and Mitigation TechniquesВидео

End-to-End Example: Fair AI Lifecycle Project

Fair AI Lifecycle Project: Fair Credit Scoring SystemВидео

Module 5 Quiz

Module 5 QuizЗадание
06Module 6: AI Alignment & Ethics17 материалов

AI Alignment

Connecting Course Learning ObjectivesЧтениеIntroduction to AI AlignmentВидеоAligning AI with Human Values: Challenges, Theory, and Learning TechniquesВидеоReinforcement Learning and Human Feedback: Exploring RLHF MechanismsВидеоOnline Learning for Alignment, Value, Locking, and Constitutional AI (RLAIF)ВидеоPractice Quiz #1ЗаданиеMiddleware for Alignment: Case Studies on AI Assistants and Social MediaВидеоOversight Mechanisms: Alignment Progress Metrics and International CooperationВидеоPractice Quiz #2Задание

AI Ethics

AI EthicsВидеоMoral Deskilling, Ethics Washing, and Moral OverloadВидеоEthical Risk Assessment and Technical SolutionsВидеоPractice Quiz #3Задание

Module 6 Quiz

Module 6 QuizЗадание

Congratulations! What's Next?

Course Feedback & RatingsЧтениеPreview the Complete, For-Credit CourseЧтениеEarn Your MS in CS with ClemsonЧтение
Field DeploymentsВидео
Practice Quiz #3Задание
Wellbeing and Accessibility Research in AIВидео
Instruments and Measurements in AI ResearchВидео
Detailed Examples of Instrument UsageВидео
Practice Quiz #3Задание
Applications of Hybrid IntelligenceВидео
Practice Quiz #2Задание
Analyzing and Addressing Bias in Natural Language ProcessingВидео
Practice Quiz #2Задание
Case Study: Fair Housing Loan ApprovalВидео
Practical Frameworks and Tools for Ensuring Fairness in AIВидео
Practice Quiz #3Задание