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Game Night

AI safety can be difficult to explain. Could a game make it easier to explore?

  • September 25 to 27, 2026
  • 36 hours
  • Online
Hosted by:

Mangrove

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Mangrove

Finalists

$1,000 in prizes
  1. Overall winnerDigital winnerAlex Wilson

    Spotless

  2. Tabletop winnerL

    Singularity War

  3. Social & More winnerKatia Shek

    Race Condition

About

Spend a day building a game about AI safety. It can be a board game, card game, video game, simulation, party game, or something we haven't thought of yet.

Prizes

$1,000

  • Overall winner

    $250

  • Tabletop winner

    $250

  • Digital winner

    $250

  • Social & More winner

    $250

Timeline

  1. Sep 24, 2:00 PM

    Registration closed

  2. Sep 25, 3:00 PM

    Kickoff

  3. Sep 27, 3:00 AM

    Submissions closed

  4. Sep 30, 9:00 PM

    Peer reviews closed

  5. Oct 6, 12:21 PM

    Results published

Tracks

  • Track A

    Tabletop

    Board games, card games, dice games, anything played on a table.

  • Track B

    Digital

    Video games, simulations, browser toys, text games. Anything that runs on a screen.

  • Track C

    Social & More

    Games that run on people, not components. Party games, social deduction, charades, megagames, roleplay, or anything that doesn't fit the other two.

Use the arrows, or the left and right keys with the strip focused, to move one card at a time.

Judging

CriterionWeightWhat it means
  1. 40%

    Fun to play

    Judges will consider whether the game is fun, compelling, and worth playing.

    40%

    Judges will consider whether the game is fun, compelling, and worth playing.

  2. 40%

    Relevance to AI risks

    How thoughtfully the game uses AI safety topics at its core. Features should balance educating on AI-risk as well as playability.

    40%

    How thoughtfully the game uses AI safety topics at its core. Features should balance educating on AI-risk as well as playability.

  3. 20%

    Worth playing again?

    A game people actually want to play may do more for AI safety than one designed around teaching every concept perfectly.

    20%

    A game people actually want to play may do more for AI safety than one designed around teaching every concept perfectly.

Judges

  • Tzu Kit Chan

    Head of Operations

    tzukitchan.com

  • Jess Bergs

    Member of Technical Staff, UK AISI

    I lead engineering & product strategy at the UK AI Security Institute for our human-in-the-loop research tools, enabling our scientists to run their empirical research experiments at scale. At the moment I am working on how to design effective scalable human oversight mechanisms. My career so far has been in R&D and public sector innovation, from EU Horizon projects to Explainable AI at BBC R&D and since 2024 technical AI safety in the British government. I'm mentoring at BlueDot Impact's Technical AI Safety Project programme, Algoverse AI Research and from this Autumn also SPAR.

  • Gaia Molinaro

    Researcher, Microsoft

    I am a Senior Applied Scientist at Microsoft, where my research aims to enhance human capabilities through AI. I got my PhD from the University of California, Berkeley’s Computational Cognitive Neuroscience lab, where I used behavioral experiments and computational modeling to understand the key to flexible, open-ended reinforcement learning in humans and machines. During my PhD, I interned at the Amazon AGI Lab, Meta, and Thimus. Before starting at Berkeley, I got a BSc in Neuroscience from King's College London and an MSc in Cognitive and Decision Sciences from UCL.

  • Melynna Garcia

    Operations Manager at Palisade Research

    Melynna Garcia is an Operations Manager at Palisade Research, an AI safety nonprofit, where she draws on her background in anthropology and AI futures along with years of experience in strategy, marketing, and operations. She cares about holding the organizations building advanced AI accountable and helping people understand how these systems are shaping their lives. Over the past two years she has completed several AI safety courses and two fellowships that have strengthened her understanding of the field. Outside of Palisade, she is putting that understanding into practice by building Landing, a bilingual civic media project translating AI for everyone.

  • Tobias Bersia

    Research Lead, BAISH Labs

    I'm an AI safety researcher and software engineer studying a Master in Computer Science at the Universidad de Buenos Aires. I'm an organizer at the Buenos Aires AI Safety Hub (BAISH), where I lead the BlueDot Technical AI Safety Projects course and serve as Research Lead at BAISH labs. Outside research, I built a game engine and a multiplayer RTS in C++ from scratch, play Ages of Empires II competitively and currently work at the indie studio Little Candle Games.

  • Alejandro Aristizábal

    ML Engineer and AI Safety Researcher with 6+ years in deep and reinforcement learning. Currently a Researcher at Arcadia Impact's Alignment Team, working on automated alignment research. Previously completed LASR Labs, where I worked on Unexploitable Search as part of their AI safety research programme.

  • Thomas Morris

    Research Manager, MATS

    I am a Research Manager at MATS, where I support researchers working on AI safety. Before that, I spent years in the environmental non-profit realm, including directing a VR marine education program in New Zealand and managing a marine bird rehabilitation centre in South Africa. I hold a PhD in Marine Science from the University of Auckland.

  • J B

    Alignment Researcher

    Jonathan is an AI alignment researcher working for Arcadia Impact

  • Lauren Brickell

    Community & Operations Associate, Impact First

    I help run Impact First - the student branch of Arcadia Impact - which supports early-pipeline talent specifically into AI safety careers. Previously, I ran the EA group at the University of St Andrews, and set up a mentored research programme (STAIR).

Use the arrows, or the left and right keys with the strip focused, to move one card at a time.

Results are published.

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