ABOUT THE CHALLENGE
Introducing the Responsible AI Hackathon hosted by the DATA Initiative at Northeastern University and MathWorks. The hackathon will take place in the week of February 25th.
Artificial Intelligence is heavily used in online platforms like Twitter and Amazon for personalized recommendations, facial recognition, anti-counterfeit tools, and more. The data for this analysis can be skewed and introduce an unintentional bias. We want you to identify and illustrate how to tackle this bias.
We will be running talks and workshops during hackathon week to bring everyone up to speed. Check resources for more details.
WHAT TO BUILD
Look at data available on an online platform of your choosing, identify how a bias may have been introduced in the prediction data, and define how you can make the AI as fair as possible.
There is a special prize for the team that showcases the best use of MATLAB.
WHAT TO SUBMIT
All Submissions must include a link to a GitHub repository consisting of:
- All code and a readme file describing how to run the project
- A less than 3-minute video demonstrating a functioning prototype of your project
- A document with a description of your project, the tools used, and the biggest challenges
$2,050 in prizes
Best Overall Project
Goes to the project judged to be the overall standout project with the greatest potential for real-life impact. $1000 cash prize.
Best Overall Project - Runner Up
Goes to the second-best project judged to be the overall standout project with the greatest potential for real-life impact. $700 cash prize.
Best use of MATLAB
Goes to the project that best uses MATLAB. $200 cash prize. Each team member will receive a MathWorks merch care package valued at $25.
Most Cross-Disciplinary Team
Goes to the most cross-disciplinary team. $100 cash prize. Each team member will receive a MathWorks merch care package valued at $25.
Special Mention: Technical Award
A special mention technical award. Each team member will receive a MathWorks merch care package valued at $50.
Submitting to this hackathon could earn you:
How big of an impact will this have on intended users?
How cross-disciplinary is the team?
How strong is the quality of the build
Is it new or a copy of something else?
How elegantly does this solve the problem?
How well did the project meets its objectives?
How well did the team present?