~/talk

Tournesol An Open Source Project for Collaborative Algorithmic Governance

on YouTube 44m
Talkat ScalaCon 2022 · 2022-10-04..10-07· [machine-learning, open-source]

speaker

name:Lê Nguyên Hoan
links:none on file

resources

video:https://youtu.be/Puykn7mGnYg
slides:none on file

summary

Tournesol is an AGPL open-source platform that crowdsources YouTube recommendation judgments: contributors paste URLs and use a slider to pick which of two videos should be recommended more often, producing a public CC BY dataset and community-driven recommendations shown via browser extensions (Chrome, Firefox). Backend is Django with SciPy/Numpy for ML, frontend in React. Robust aggregation uses a quadratic-regularized median-like method to limit how much small groups can bias scores; defenses include email certification and a vouching system.

AI-written summary · about

chapters (6)

  1. 0:00Introduction to Tournesol
  2. 7:47Problem with recommendation algorithms
  3. 13:27How Tournesol works
  4. 28:18Security challenges in ML systems
  5. 36:22Call for collective action
  6. 40:29Q&A session

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