Call for Papers: NeurIPS 2019 Workshop on Human-Centric Machine Learning

Date:

Overview

The NeurIPS 2019 Workshop on Human-centric Machine Learning is inviting submissions for papers that explore various aspects of machine learning with a focus on human factors. This workshop is significant for the AI/ML community as it addresses critical issues such as fairness, transparency, privacy, and accountability in machine learning systems.

Background & Relevance

Human-centric machine learning is an emerging field that emphasizes the importance of human perspectives in the development and deployment of machine learning technologies. As AI systems become increasingly integrated into daily life, understanding the implications of these systems on fairness, privacy, and governance is crucial. This workshop aims to foster discussions and research that align machine learning practices with human values and societal norms.

Key Details

  • Event: NeurIPS 2019 Workshop on Human-centric Machine Learning
  • Location: Vancouver
  • Date: December 2019
  • Submission Deadline: September 15, 2019, 23:59 Anywhere on Earth (AoE)
  • Workshop Website: hcml-2019

Eligibility & Participation

This call for papers is open to researchers, practitioners, and students who are interested in the intersection of machine learning and human factors. The workshop seeks contributions that provide insights into the ethical and societal implications of machine learning technologies.

Submission or Application Guidelines

Interested participants should prepare their manuscripts according to the guidelines provided on the workshop website. Submissions must be made by the specified deadline to be considered for presentation at the workshop.

Additional Context / Real-World Relevance

The topics covered in this workshop are increasingly relevant in today’s AI landscape, where issues of fairness and accountability are at the forefront of discussions about technology’s role in society. By addressing these concerns, the workshop aims to contribute to the development of more responsible and ethical AI systems.

Conclusion

Researchers and practitioners are encouraged to submit their work to the NeurIPS 2019 Workshop on Human-centric Machine Learning. This is an excellent opportunity to engage with peers and contribute to the ongoing dialogue about the responsible use of machine learning technologies. Explore the workshop website for more details and submit your manuscripts by the deadline.


Category: CFP & Deadlines
Tags: human-centric ml, fairness, transparency, interpretability, privacy, accountability, neural networks, machine learning, neurips

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