On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?, Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell, 2021Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (Association for Computing Machinery)DOI: 10.1145/3442188.3445922 - A foundational paper discussing the ethical implications and potential societal biases embedded within large language models due to their training data and design, directly relevant to the 'Bias in Responses' challenge.