Overview
The NeurIPS workshop on Machine Learning for the Developing World (ML4D) is set to take place in December 2019 in Vancouver, Canada. This event aims to address the unique challenges and risks associated with deploying machine learning technologies in developing regions. As machine learning becomes increasingly prevalent, understanding its implications in these contexts is crucial for responsible innovation.
Background & Relevance
Machine learning has the potential to significantly impact global development, offering solutions to various challenges faced by underserved communities. However, there is a pressing need to critically evaluate the deployment of these technologies to avoid unintended consequences. The ML4D workshop seeks to foster discussions around the ethical considerations and technical challenges inherent in applying machine learning in diverse settings, ensuring that research in this area progresses responsibly.
Key Details
- Workshop Dates: December 13 or 14, 2019 (exact date TBD)
- Location: Vancouver, Canada
- Submission Deadline: September 13, 2019
- Acceptance Notification: September 25, 2019
- Website: ML4D Workshop
Eligibility & Participation
This workshop invites researchers from various fields to contribute their insights and findings related to machine learning applications in developing regions. It targets those who are engaged in empirical studies, methodological advancements, or theoretical discussions surrounding the ethical implications of machine learning technologies.
Submission or Application Guidelines
Researchers are encouraged to submit short papers (2-4 pages) that adhere to the NeurIPS style guidelines. The workshop will feature accepted papers as posters or contributed talks, with an option for publication in arXiv proceedings. The submission platform link will be available on the workshop website.
Additional Context / Real-World Relevance
As machine learning technologies are increasingly adopted in developing regions, it is essential to scrutinize their deployment to ensure they do not exacerbate existing inequalities or create new challenges. This workshop will provide a platform for sharing knowledge and experiences, highlighting the importance of responsible AI practices in global contexts.
Conclusion
The ML4D workshop at NeurIPS 2019 presents a valuable opportunity for researchers to engage with pressing issues in the intersection of machine learning and global development. Interested participants are encouraged to submit their work, share their insights, and contribute to the ongoing dialogue about ethical AI in developing regions.
Category: CFP & Deadlines
Tags: machine learning, neurips, ml4d, developing world, ethical AI, empirical studies, global development, data representation
