Project WHY

Overview

Whether it’s medical diagnosis, directing our social interactions, or pushing the frontiers of science, we increasingly rely on machine learning algorithms to make life or death decisions for us. The algorithms are so complex in nature that it creates a “black box” situation where even the designers cannot explain how a decision was reached. The researchers at WHY will create an api framework that will allow machine learning engineers to open this “black box” of complexity and analyze the contents.

Assumptions of User

• A user of WHY will be a university level student with a beginner to intermediate level of understanding about artificial intelligence and machine learning.
• A user of WHY will have an advanced understanding of artificial intelligence and machine learning and will use it for personal research or as a teaching aid.
• A user of WHY has at least a fundamental understanding of mathematics, statistics, programming and data manipulation techniques.

API Elements

• Raw model emissions
• Raw model scores
• Synthetic dataset parameters
• Model parameters
• Plotting utilities