HumL@ISWC 2018 : Workshop: HumL@ISWC2018 - Augmenting Intelligence with Humans-in-the-Loop
When : 2018-10-09
Where : Monterey, California
Submission Deadline : 2018-06-01
Categories : Humanities, Art and Social Studies , Data Mining , Multimedia, Computer Graphics & Animation
https://w3id.org/huml/HumL-ISWC2018/
HumL@ISWC 2018 : Workshop: HumL@ISWC2018 - Augmenting Intelligence with Humans-in-the-Loop
October 09, 2018, Monterey, California
Scope & Topics
Human-in-the-loop is a model of interaction where a machine process and one or more humans have an iterative interaction. In this paradigm the user has the ability to heavily influence the outcome of the process by providing feedback to the system as well as the opportunity to grab different perspectives about the underlying domain and understand the step by step machine process leading to a certain outcome. Amongst the current major concerns in Artificial Intelligence research are being able to explain and understand the results as well as avoiding bias in the underlying data that might lead to unfair or unethical conclusions. Typically, computers are fast and accurate in processing vast amounts of data. People, however, are creative and bring in their perspectives and interpretation power. Bringing humans and machines together creates a natural symbiosis for accurate interpretation of data at scale. The goal of this workshop is to bring together researchers and practitioners in various areas of AI (i.e., Machine Learning, NLP, Computational Advertising, etc.) to explore new pathways of the human-in-the-loop paradigm.
Topics of Interest :
- Human Factors:
- Human-computer cooperative work
- Mobile crowdsourcing applications
- Human Factors in Crowdsourcing
- Social computing
- Ethics of Crowdsourcing
- Gamification techniques
- Data Collection:
- Data annotations task design
- Data collection for specific domains (e.g. with privacy constraints)
- Data privacy
- Multi-linguality aspects
- Machine Learning:
- Dealing with sparse and noisy annotated data
- Crowdsourcing for Active Learning
- Statistics and learning theory
- Applications:
- Healthcare
- NLP technologies
- Translation
- Data quality control
- Sentiment analysis
Important Dates
| Submission Deadline | : | Jun 1, 2018 |
| Authors Notification | : | Jun 27, 2018 |
| Final Manuscript Due | : | Jul 24, 2018 |
User Name : advika
Posted 22-03-2018 on 17:58:20 AEDT