Artificial Intelligence Ethics and Bias

Author: James M. Connolly

Publisher: Information Week

Publication Year: 2022

Summary: The following article is a great, comprehensive description of artificial intelligence (AI) ethics and bias with a lot of supporting articles linked throughout. It begins with a description of how the perception and connotation of AI ethics and bias has been tainted with uneasiness about potential job elimination, data collection, socioeconomic concerns. The article generally has a positive outlook for AI and attempts to provide insights and evidence of ethical implementations and how if used ethically, AI can be a force for good. The first and potentially biggest takeaway is the idea that every institution in the AI space needs to develop or use an existing data ethics framework to guide their use of data. The article then describes solutions to combat AI bias, such as installing an AI supervision team to make sure that patterns of bias are perpetually accounted for and sequentially addressed.