As facial recognition technologies gain popularity there are some privacy and ethical concerns rising regarding the development and use of these tools.
With the reliance on social media as a source of news and for nearly all information we consume, it has become very easy for misinformation to spread.
Databases contain lots of information of a personal nature. This project is centered on being classroom lab that focuses on the ease to hack a database.
One in five adults living in the United States uses fitness trackers and health-related applications daily. With this continuously growing statistic, arise ethical concerns of big data collection, and how our fitness data can be used.
We believe that students who are taught to be proactive programmers will know how to avoid technical debt and then create more ethical software.
Training students in building a healthier internet for all is essential if we want to create a shift in the tech industry where the software is being developed with ethical considerations in mind.
In this project, we present an automated text-mining tool written in Python to assist the department in measuring the technical responsibility of students across our department’s computer science curriculum.