Keywords: Artificial Intelligence, Biased Word Embeddings, Debiasing, Decision-Making, Regulation, Word Embedding
Author: Aylin Caliskan
Publisher: Brookings
Publication Year: 2021
Summary: The following article looks at how billions of people using the internet every day are exposed to biased word embeddings. However, word embedding debiasing is not a feasible solution to the bias problems since debiasing word embeddings remove essential context about the world. Instead of blindly debiasing word embeddings, raising awareness of AI’s threats to society to achieve fairness during decision-making in downstream applications would be a more informed strategy. Moreover, there is an urgent need for regulatory mechanisms, a diverse AI ethics workforce, and technical approaches to preventing AI technologies from accelerating their harmful side-effects.