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Human Crowds and AI

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM SIGCHI Courses Artificial Intelligence Courses Human Behavior Courses Machine Intelligence Courses

Course Description

Overview

Explore a comprehensive plenary talk from the 2019 ACM Conference on Collective Intelligence, focusing on the intersection of human crowds and artificial intelligence. Delve into insights from four leading experts in the field: Lukas Biewald, founder of Figure Eight and CrowdFlower; Laura Dabbish from Carnegie Mellon University; Walter Lasecki from the University of Michigan; and Andrés Monroy-Hernández from Snap Inc. Gain valuable perspectives on topics such as crowdsourcing, social computing, interactive intelligent systems, and the future of work. Learn about cutting-edge research and real-world applications in areas including deep learning tools, computer-supported cooperative work, human-computer interaction, and social technology. Discover how these experts are pushing the boundaries of collective intelligence by combining human and machine capabilities to solve complex problems and improve access to technology for people with disabilities.

Syllabus

Intro
Welcome
CrowdFlower
Energy Crops
Uberization
Driver Management
Collective Control
Algorithmic Transparency
Motivation
Cortana
Bridging the gap
Apparition
Complex Problems
In a Perfect World
Support Career Development
Algorithms and Bias
Lessons from Stila
Industry challenges
Twosided network effects
Service work
People circumventing norms
Design a better algorithm
User preferences
Lowlevel tasks


Taught by

ACM SIGCHI

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