*** Sorry for cross-posting ***

https://www.hfes.org/blogs/lindsey-kim/2019/01/16/call-for-papers-machine-learning-artificial-intell

*Call for Papers: Machine Learning, Artificial Intelligence, and Human
Factors Design*

Submissions are invited for a special issue in *Ergonomics in Design* (*EID*
)

Machine learning (ML) is enabling a new generation of artificial
intelligence (AI) and autonomous systems that are changing our personal and
 professional lives. In this special issue, we embrace the broad spectrum
of research and design efforts that investigate or employ ML for improving
Human Factors (HF) and usability of intelligent systems and consumer
products. The central objective of this special issue is to provoke an
active debate on theory, methods, and practice of designing for interactive
AI. The issue seeks to clarify the roles of HF in contributing to a
humanist perspective that considers the social, political, ethical,
cultural, and environmental factors of implementing AI into daily
human-to-computer interactions.

*Potential topics of interest for this special issue include, but are not
limited to, the following:*

- Explainable AI

- Prototyping tools for ML or AI

- Case studies of HF design with ML

- Approaches, tools and design for data annotation and transcription for
supervised learning

- Industrial case studies where ML is used for analysis of human-centered
data

- Approach to machine learning vs. approach to (conventional) automation

- HF and designer roles in the intelligent product era

- Human-centered design methods for generation of training data

- How Human Factors can influence the development of new AI technologies

- Methods of exploring the consequences of design choices when creating AI
systems

- What and how to teach about ML and AI in Human Factors education

- Sociotechnical impact of ML and AI: algorithmic fairness, bias,
discrimination, trust, & transparency

- Human-centered interactive AI-enabled products


*TENTATIVE DEADLINES *

Submissions* due: *May 1*, 2019
Decision letters sent: July 31, 2019
Revised manuscripts due: September 30, 2019
Special Issue for publication: January 2020

**Long feature articles* should be between 1,500 and 3,000 words, *Short
articles* should be limited to between 1,000 and 1,500 words, and
*Commentaries* on the topic should be limited to 500 words.

Prospective authors should follow the *EID* journal guidelines (
https://journals.sagepub.com/home/erg) for preparing their manuscripts,
view publication policies and sample articles, and then submit your article
via https://mc.manuscriptcentral.com/ergonomicsindesign. The web-based
submission must accompany a cover-letter heading, “Special Issue: Machine
Learning, Artificial Intelligence, and Human Factors Design”. For questions
about submissions, please contact any of the following:

*Guest Editors*

Nathan Lau, PhD Virginia Tech [log in to unmask]

Myounghoon Jeon, PhD Virginia Tech [log in to unmask]

Michael Hildebrandt Institute for Energy Technology
[log in to unmask]
************************************************
Myounghoon Jeon (Philart), Ph.D.
pronounced as /"me" + "young" quickly/ /hoon/ /juhn/

Associate Professor
*Mind Music Machine Lab <http://ise.vt.edu/philart>*
Grado Department of Industrial and Systems Engineering
Virginia Tech
519D Whittemore Hall
1185 Perry St. Blacksburg, VA 24061
[log in to unmask]

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