Skip to content
Switch branches/tags
This branch is 300 commits ahead, 3 commits behind AliaElKattan:master.

Latest commit


Git stats


Failed to load latest commit information.
Latest commit message
Commit time

Survival of the Best Fit

You can play the game here


Survival of the Best Fit is an educational web simulation to shed light on how AI and ML algorithms can be biased, particularly by looking at how using ML in hiring practices can reinforce workforce inequality. It aims to break down the barrier between internet users and the technologies behind building the internet (particularly AI and ML), by giving them an understanding of how decisions made by developers of recruitment applications directly impact the decisions produced by algorithms.

Goals and potential impact

"Thus we shall never experience our relationship to the essence of technology so long as we merely conceive and push forward the technological, put up with it, or evade it." -Martin Heidegger

As young technology enthusiasts, we believe it is our duty to contribute to people's understanding of algorithms and their impact on society. After researching the topic, we found algorithmic hiring one problematic area due to secretive hiring practices and heavy automation. Our goal is to identify a way we can raise public awareness through research and user testing. After doing so, we came to the conclusion that a series of web based gamified simulations can give an introduction to thousands of visitors with any level of technical knowledge to the problems of algorithms in hiring.

Related Work

We would also like to share the survey of the connection of society and algorithms.



If you'd like to join the team or can contribute with ideas/feedback, please feel free to shoot any of us an email.


  • NYUAD Interactive Media and the Politics of Code class for educating us and bringing us together
  • Moz://a foundation for its continuous support through the Creative Media Award


An interactive simulation to explain algorithmic bias.



No releases published


No packages published