KPIs / Goals

1. Output is a valuable and thought provoking experience that communicates the need to regulate AI
   1. Qual: Majority of users stop to think about the bias and ML
   2. Quant: 7 out of 10 users find the experience valuable and thought-provoking
2. Learn more about training ML models and using them in Javascript
   1. Qual: I feel confident training models and deploying them
   2. Quant: I am able to create a final product with at least one trained and deployed model
3. Finish a publicly shareable project that gets the point across without an accompanying presentation
   1. Qual: Users need no prompting to navigate the experience properly.
   2. Quant: # of users from outside the user testing cohort match the number of users in the testing cohort.
4. Finish presentable documentation for the project to place on a resume or application
   1. Qual: I am happy with the finished documentation and its presentation on my portfolio
   2. Quant: At least one acceptance from a job or school

Timeline

• Week 2
  • Finish core experience prototype
• Week 3
  • User test & gather feedback
  • Flesh out the experience
• Week 4
  • More user testing
  • Final polish
• Week 5
  • Presentation and documentation finished