Abstract
Computer science has rapidly evolved over the years particularly in the field of machine learning (ML) and artificial intelligence (AI). Yet, there seems to be a noticeable gap in the field of ethics related to data science for K-12 students. This project aims to introduce K-12 students to the concepts of data science ethics and educate them at an early stage to ensure a path towards ethical data science practices. With this goal to educate K-12 students on data science ethics, a tailored instructional plan to support K-12 students and academic advisors was identified. Like every field, computer science has a set of morals to be followed. It is essential for students to understand the basic social, ethical and legal issues that can arise when solving real world data problems. Without proper ethical paradigms, technology can have serious negative impacts on the society and efforts should be made to educate students on ethics to ensure a future with reliable technology. While the internet has a plethora of information related to data science ethics, there is a need for platforms that are tailored towards educating K-12 students and create awareness, interest and a sense of motivation among them. To solve this problem, I designed a visually interactive instruction tool, using a story telling chat box, quizzes and a case study, intended to introduce data science ethics focused on the areas of explainable AI, privacy, informed consent and ownership of data. The aim of this project is to motivate students to pursue a path towards practicing ethical data science. The tool intends to reduce the risk of biased and unethical problem solving to protect human morals when technology is involved.