Keywords: Algorithmic Audit, Algorithmic Models, Algorithms, Big Data, Blind Trust, Data Collection, Unconscious Bias
Author: Cathy O’Neil
Publisher: TED Talks
Publication Year: 2017
Summary: The following video highlights the dangers of blind trust in algorithmic models. O’Neil suggests that algorithms are much less scientific and objectively truthful than commonly perceived. Instead, they are opinions embedded in code, and we are often “injecting biases into algorithms by choosing what data to collect.” O’Neil presents a checklist of four steps in an “algorithmic audit” to keep data and the people who wield it fair and ethical.