[AISWorld] 5/31 Deadline CFP - KDD 2021 Workshop on Machine Learning for Consumers and Markets

[Dokyun Lee]

*KDD 2021 Workshop on Machine Learning for Consumers and Markets*
*Workshop Website:*
https://sites.google.com/andrew.cmu.edu/mlcmatkdd2021/

*Topics*: Recent developments in ML present exciting opportunities for
business. At the same time, ML also poses challenges that prevent many
algorithms from being widely adopted in business applications such as
deficiencies in interpretability, auditability, and unintended biases.
This workshop aims to bring the ML and business communities together to
discuss the opportunities and challenges for ML in business. We focus on
the following topics:

   - Novel applied machine learning research that improves the consumer and
   market value: ML applications in fintech, e-commerce, MOOC online
   education,  education, healthcare, social media, ad/promotion targeting,
   trading, B2B market, future of work, etc.
   - Empirical studies that reveal and ameliorate unintended harms of
   machine learning technology in consumer and marketing application: lack of
   interpretability, trust, auditability, biased ML algorithms.
   - Novel machine learning methodology that mitigates risks and roadblocks
   of ML in consumer and marketing applications such as Explainable Artificial
   Intelligence (XAI).
   - Injecting consumer behavior and market insights into ML algorithms.


*Submission Format*: We invite contributions on the topics listed below in
2 formats:

   - Extended abstracts (1 page excluding references)
   - Short papers (up to 4 pages excluding references)

*Important Dates:*

   - Submission deadline:  May 31th, 2021
   - Author notification: June 19th, 2021

*The workshop does not print proceedings nor take any copyrights so you can
submit any work in progress papers to share and get feedback.*

-- 
Dokyun "DK" Lee
Assistant Professor of Business Analytics
Tepper School of Business, CMU
*www.DLforBusiness.com <http://www.DLforBusiness.com>*
*www.dkBITlab.com <http://www.dkbitlab.com/>*