Category: Recommended Reading/Viewing
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AI Digital Divide: Tech Literacy
In light of our Mission Impossible screening this week, we did a deep dive on the Hollywood superstar of American cinema: Tom Cruise. During our discussions, we covered his prolonged involvement in the Church of Scientology, extreme stunts on set, and briefly touched on his connection to discourses concerning deepfake AI. Since we are all…
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Battle of the “Brains”
Conflict is still raging in the Middle East with many of us being spectators. In this class, we already discussed how A.I. is already being weaponized, but for those who don’t have influence over what happens with the military, there have been A.I.-generated images and videos subjected to the Iran attacks on Israel. The issue…
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Can you truly opt-out of AI data collection?
Last week I came across a guide published by Wired on how to opt-out of having my personal data being used to train generative AI programs. In the guide, the authors included a list of industry-dominating tech companies, all which have elaborate opt-out processes, such as: Adobe, Amazon, Google Gemini, Grammarly, Hubspot, OpenAI (ChatGPT), Perplexity,…
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Models All the Way Down
An excellent visual essay about the inner workings of AI models. https://knowingmachines.org/models-all-the-way
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Out With OpenAI, In With EMO
EMO, or Emote Portrait Live, is a recent development under the worldwide known company of Alibaba. With the world scrabbling to develop AI learning models, EMO serves as a revolutionary foothold as it tackles the ongoing issue with AI-generated videos: the unique human expression spectrum. Article author Michael Nuñez explains that this is an AI…
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Blogging Example
The cycle of natural decay is both materially enacted and mirrored in the making of Jennifer Reeves’s Landfill 16 (2011), which takes up the idea of recycling, waste management, and the death of film. Reeves buried 16mm outtakes from her double-projection celebration of the natural world, When It Was Blue (2008), in a homemade landfill…