Author: N/A; Publisher: TRT World; Publication Year: 2018. The following video discusses how because algorithms are written by humans, they are not any more objective than we are. Some examples of algorithmic bias include: Amazon’s Alexa failing to recognize different accents or Google Translate associating certain jobs with certain genders. Both machine learning and deep learning are dependent on huge…
Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following article discusses how over the past few months, its been documented how the vast majority of artificial intelligence’s (AI) applications today are based on the category of algorithms known as deep learning, and how deep-learning algorithms find patterns in data. It also covers how these technologies affect people’s lives: how they…
Author: Douglas Heaven; Publisher: Nature; Publication Year: 2019. The following article discusses how deep learning artificial intelligence (AI) models, specifical deep neural networks, can be extremely brittle when presented with new cases. There is a possibility for these technologies to be maliciously attacked, such as by adding stickers to a stop sign to sabotage a car on autopilot. Cases of AI sabotage could…