Human-Centered Artificial Intelligence

Overview

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.

Syllabus

Module 1: Human-Centered Computing - Designing for People

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.

Module 2: Artificial Intelligence

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.

Module 3: Introduction to Human-Centered AI & Research Methods in HCAI

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.

Module 4: Collective Intelligence and Hybrid Intelligence

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.

Module 5: Algorithmic Bias & AI Fairness

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.

Module 6: AI Alignment & Ethics

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.