“GPT-ME: A Human-AI Cognitive Assemblage”
Conference:
Type(s):
Title:
- GPT-ME: A Human-AI Cognitive Assemblage
Session/Category Title: Face & Interface
Presenter(s)/Author(s):
Abstract:
GPT and I have recently merged. We are integrated into one another’s existence through the mediation of a wearable device that enables GPT to be attached to my body, listen to my conversations, and use them as prompts. I have been wearing this wearable daily for the last few months, using it in all my interactions. Speech is translated into text, which becomes a prompt. In response, GPT generates text that is translated back into speech and ‘whispered’ in my ear through an earbud. This entire process is fast enough to keep up with the pace of my conversations. When I speak, instead of saying what spontaneously comes to my mind, I say what GPT whispers in my ear. I speak GPT. I use the generated words as if they were my own. GPT and I are entangled within a cognitive assemblage. In this symbiotic relationship, my intelligence turns artificial, and GPT becomes embodied. This performative project examines ways in which humans and AI technology come together. It considers the benefits and risks accompanying such integration and discusses our future interactions with LLMs and their transformative impact.
References:
[1]
Karen Barad. 2007. Meeting the Universe Halfway: Quantum Physics and the Entanglement of Matter and Meaning. Duke University Press.
Crossref
Google Scholar
[2]
Samuel Beckett. 1954. Waiting for Godot: Tragicomedy in 2 acts. Grove Press.
Google Scholar
[3]
Timothy K Choy. 2005. Articulated knowledges: Environmental forms after universality’s demise. American Anthropologist 107, 1 (2005), 5–18.
Crossref
Google Scholar
[4]
Benj Edwards. 2023. People are speaking with ChatGPT for hours, bringing 2013’s Her closer to reality. ars technica. https://arstechnica.com/information-technology/2023/10/people-are-speaking-with-chatgpt-for-hours-bringing-2013s-her-closer-to-reality/.
Google Scholar
[5]
Donna J Haraway. 2016. Staying with the Trouble: Making Kin in the Chthulucene. Duke University Press.
Google Scholar
[6]
N Katherine Hayles. 2017. Unthought: The power of the Cognitive Nonconscious. University of Chicago Press.
Crossref
Google Scholar
[7]
Krystal Hu. 2023. ChatGPT sets record for fastest-growing user base-analyst note. Reuters (2023).
Google Scholar
[8]
Lynette Hunter. 2019. Politics of Practice: A Rhetoric of Performativity. Springer.
Google Scholar
[9]
Bruno Latour. 2007. Reassembling the Social: An Introduction to Actor-Network-Theory. Oxford University Press.
Google Scholar
[10]
Aaron Mak. 2019. When Is Technology Too Dangerous to Release to the Public? Slate.
Google Scholar
[11]
OpenAI. 2023. ChatGPT [Large language model]. https://chat.openai.com
Google Scholar
[12]
David Pierce. 2023. Neuralink is recruiting subjects for the first human trial of its brain-computer interface. The Verge.
Google Scholar
[13]
Alec Radford, Jeffrey Wu, Dario Amodei, Daniela Amodei, Jack Clark, Miles Brundage, and Ilya Sutskever. 2019. Language models are unsupervised multitask learners. OpenAI (2019).
Google Scholar
[14]
Susan Schneider. 2019. Artificial You: AI and the Future of Your Mind. Princeton University Press.
Google Scholar
[15]
Irene Solaiman, Miles Brundage, Jack Clark, Amanda Askell, Ariel Herbert-Voss, Jeff Wu, Alec Radford, Gretchen Krueger, Jong Wook Kim, Sarah Kreps, et al. 2019. Release strategies and the social impacts of language models. arXiv preprint arXiv:1908.09203 (2019).
Google Scholar
[16]
Elizabeth A Wilson. 2011. Affect and Artificial Intelligence. University of Washington Press.
Google Scholar
