Главная
Study mode:
on
1
Intro
2
Welcome
3
CrowdFlower
4
Energy Crops
5
Uberization
6
Driver Management
7
Collective Control
8
Algorithmic Transparency
9
Motivation
10
Cortana
11
Bridging the gap
12
Apparition
13
Complex Problems
14
In a Perfect World
15
Support Career Development
16
Algorithms and Bias
17
Lessons from Stila
18
Industry challenges
19
Twosided network effects
20
Service work
21
People circumventing norms
22
Design a better algorithm
23
User preferences
24
Lowlevel tasks
Description:
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.

Human Crowds and AI

Association for Computing Machinery (ACM)
Add to list