✳flâneur — a map of the web's best reading
Participation is not a Design Fix for Machine Learning
arxiv.org · saved by 1 readers
This paper critically examines existing modes of participation in design practice and machine learning. Cautioning against 'participation-washing', it suggests that the ML community must become attuned to possibly exploitative and extractive forms of community involvement and shift away from the prerogatives of context-independent scalability.
Explore this link on the map →related reading
- Power to the People? Opportunities and Challenges for Participatory AIarxiv.org
- AI Design Field Guideaidesignfieldguide.com
- May-Li Khoe on pulling inspiration from the physical world in digital designnotion.so
- People + AI Researchresearch.google.com
- beyond-jupyter/refactoring-journey/README.md at master · aai-institute/beyond-jupyter · GitHubgithub.com
- MAI-Thinking-1: Building a Hill-Climbing Machinemicrosoft.ai
- Mediumuxdesign.cc
- It Looks Like You’re Trying To Take Over The World · Gwern.net (reader mode)gwern.net
- Shibboleth Authentication Requestdl-acm-org.ezproxy.lib.utexas.edu
- Rules of Machine Learning: | Google for Developersdevelopers.google.com
- Design in the Era of the Algorithm | Big Mediumbigmedium.com
- [2108.02497] How to avoid machine learning pitfalls: a guide for academic researchersarxiv.org