Summary of Position: a Call to Action For a Human-centered Automl Paradigm, by Marius Lindauer and Florian Karl and Anne Klier and Julia Moosbauer and Alexander Tornede and Andreas Mueller and Frank Hutter and Matthias Feurer and Bernd Bischl
Position: A Call to Action for a Human-Centered AutoML Paradigm
by Marius Lindauer, Florian Karl, Anne Klier, Julia Moosbauer, Alexander Tornede, Andreas Mueller, Frank Hutter, Matthias Feurer, Bernd Bischl
First submitted to arxiv on: 5 Jun 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Automated machine learning (AutoML) has primarily focused on optimizing predictive performance over the past decade. However, this progress raises questions about how well AutoML has met its broader goals of democratizing ML access. This position paper argues that a key to unlocking AutoML’s potential lies in addressing user interaction with AutoML systems, including diverse roles, expectations, and expertise. We envision a human-centered approach in future research, integrating the strengths of human expertise and AutoML methodologies. The authors highlight the need for collaborative design of ML systems that prioritize user interaction, emphasizing the importance of considering human factors in AutoML development. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AutoML is a way to make machine learning easier and more accessible. For years, people have been working on making machines learn faster and better. But what about how people work with these machines? That’s an important question that this paper answers. The authors say we need to think more about how people use AutoML, what they want from it, and what skills they bring to the table. They suggest that making ML systems easier for humans to use will help make it even more powerful. |
Keywords
» Artificial intelligence » Machine learning
