Citizens have knowingly and unknowingly allowed algorithms into many aspects of their lives, unfortunately, there are instances of race, gender, and class prejudices in programs used by governments and businesses. Those creating and using these programs need to improve upon their awareness of these issues and the issues themselves. This diagram highlights a few problems. Read more… Read more Problematic Programming
It is easy to be a proponent of new computing research and technologies because anything that is new and shiny is exciting to most people. However, many people, to the delight of tech corporations, choose to ignore the dangers of this rapid technology growth. New computing technologies have the potential to jeopardize as much as… Read more Is Technology an Endangerment to Society? SAFTB
Machine Learning Advances Human-Computer Interaction by Lindsey Valich is about the differences in computer learning and human learning. Including the fact that, computers require more data points to recognize patterns. It also mentions computerized speech assistants which can detect facial expressions and speech patterns to help improve public speaking. This program can not understand the… Read more SAFTB Article Nomination
Our article is “Facial-Recognition Software Might Have a Racial Bias Problem” by Clare Garvie and Johnathan Frankle. This article is similar to those in classes and focuses on the idea of Facial Identification and possible biases/inaccuracies which were unintentionally created in the program during the development process. Below is the link to the article. https://www.theatlantic.com/technology/archive/2016/04/the-underlying-bias-of-facial-recognition-systems/476991/