Artificial Intelligence for Faculty: AI and Ethical Concerns

23 Oct. 2023. MIT Technology Review. Melissa Heikkilä writes about a tool (Nightshade) that allows artists to "poison" images by manipulating the pixels that make up the image. When large language models are trained using these poisoned images, the models cannot produce the intended prompt.

Kumar, R. (2023). International Journal for Educational Integrity, 19(1), 9–10. https://doi.org/10.1007/s40979-023-00130-7.

10 Oct. 2023. Rest of World. Rest of the World examines bias in Midjourney, an image generator. They analyzed 3,000 AI images to see how image generators visualize different countries and cultures.

12 Aug. 2023. Rolling Stone. Highlights the research of Timnit Gebru, Rumman Chowdhury, Safiya Noble, Seeta Peña Gangadharan, and Joy Buolamwini, five researchers focusing on ethics and AI.

29 July 2023 Deutsche Welle. This news article describes how researchers are collecting data and building language models to power AI tools for low-resource languages.

June 2023. FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency. This conference paper examines bias in image generators

15 May 2023. Stanford's Human-Centered Artificial Intelligence group unpacks research that shows generative AI text detectors are biased against non-native English speakers.

29 Jan. 2023. In this podcast, Michael Running Wolf describes the impact of intellectual property rights and generative AI, particularly image generators, on Indigenous peoples.

April 2022. A Series of articles from MIT Technology Review examines the hidden power structures behind the development of AI tools.

This March 2021 research paper, quickly becoming a seminal work, critiques the models that generative AI tools are built upon.

11 Sept. 2023. YouTube. 46 min.
How will AI impact our immediate and near future? Can the technology be controlled, and does it have agency? Watch DeepMind co-founder Mustafa Suleyman and historian Yuval Noah Harari debate these questions, with The Economist Editor-in-Chief Zanny Minton-Beddoes.

10 Oct. 2023. Podcast episode from "On With Kara Swisher". She interviews Dr. Fei-Fei Li from the Stanford Vision & Learning Lab.
Description: Before the OpenAI Drama which pit AI enthusiasts (accelerationists) against doomers (decelerationists) we had a conversation with Stanford computer scientist and pioneering AI researcher, Dr. Fei-Fei Li. While cognizant of the challenges AI poses — including disinformation, polarization, biases, a loss of privacy and job losses that could lead to unrest — Li is a fierce advocate for the humane development of artificial intelligence and for increased diversity in the field.