Open AI released ChatGPT three to the general public at the end of 2022. And within five days of its release, it had over 1 million users. It’s fair to say that today, three years later, ChatGPT, and other large language models embedded in Google, Microsoft, X, Facebook, Snapchat, Adobe, and well, everywhere have become ubiquitous. They promise to increase our abilities and capacities in a whole host of ways. But what they promise most is convenience. And convenience always comes with a cost. Today, I talk to Dr. Nicole Ramsoomair about some of those costs, and the ways in which they are often hidden from users.
For transcripts of this episode, go here:
For more on Dr. Ramsoomair’s work on AI and epistemic costs, go here:
https://atlantisjournal.ca/index.php/atlantis/en/article/view/5791
For more on Standpoint Theory, go here:
For more on Miranda Fricker Epistemic Injustice, go here:
https://academic.oup.com/book/32817
For more on Jose Medina and Epistemic Friction, go here:
https://global.oup.com/academic/product/the-epistemology-of-resistance-9780199929047
For more on Double Consciousness, go here:
https://plato.stanford.edu/entries/double-consciousness
For more on Epistemologies of Ignorance, go here:
https://sunypress.edu/Books/R/Race-and-Epistemologies-of-Ignorance
For more on Outsider Within and Patricia Hill Collins:
https://doi.org/10.2307/800672
For more on Master Narratives and Hilde Lindemann:
https://academic.oup.com/book/4499
For more on C Thi Nguyen and echo chambers, go here:
https://aeon.co/essays/why-its-as-hard-to-escape-an-echo-chamber-as-it-is-to-flee-a-cult
For more on Timnit Gebru and Emily Bender’s work on LLMs, go here: