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REAL ML - Recognizing, Exploring, and Articulating Limitations in Machine Learning Research

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM FAccT Conference Courses Machine Learning Courses Research Methodology Courses

Course Description

Overview

Explore the critical aspects of recognizing, exploring, and articulating limitations in machine learning research in this 15-minute conference talk presented by Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna Wallach, and Jennifer Wortman Vaughan at an Association for Computing Machinery (ACM) event. Gain valuable insights into the importance of acknowledging and addressing constraints within ML research, enhancing the credibility and applicability of findings in the field.

Syllabus

REAL ML: Recognizing, Exploring, and Articulating Limitations in Machine Learning Research


Taught by

ACM FAccT Conference

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