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Social

In ML we trust: the Trustworthy ML Social

Subhabrata Majumdar


Abstract:

We propose a 2-hour social with the following activities:

  • The first hour will consist of 20-30 min participant-driven breakout sessions centered around different aspects of trustworthy ML (e.g. fairness, interpretability, robustness, etc.), with the goal of curating 1-2 questions on each topic. This will be followed by a 40-min panel discussion where panelists address the participant-curated questions.

  • The second hour will consist of trivia games with both fun and technical questions. We will design some games with a trustworthy ML spin, e.g. trustworthy scrabble, roulette, charades, etc., to promote educational interaction in a casual environment.

  • If there is time left we will ask participants to return to the breakout rooms for socializing.

  • The first hour will consist of 20-30 min participant-driven breakout sessions centered around different aspects of trustworthy ML (e.g. fairness, interpretability, robustness, etc.), with the goal of curating 1-2 questions on each topic. This will be followed by a 40-min panel discussion where panelists address the participant-curated questions.
  • The second hour will consist of trivia games with both fun and technical questions. We will design some games with a trustworthy ML spin, e.g. trustworthy scrabble, roulette, charades, etc., to promote educational interaction in a casual environment.
  • If there is time left we will ask participants to return to the breakout rooms for socializing.

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