David J. Gunkel
@David_Gunkel
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Professor - Northern Illinois University (USA). Author of the books The Machine Question, Robot Rights, Person-Thing-Robot, Of Remixology, and Deconstruction.
Chicago USA
Joined February 2013
Professional Raison d'être: I apply the theory and practice of #Deconstruction to emerging technology (#Algorithms, #AI, #robots, etc.), overturning and disrupting the traditional binary oppositions by which we have made sense of our tools and ourselves. https://t.co/DMC1te5lRX
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From Turing's imitation game to debates about #AI consciousness, the operative assumption has been that language use is (and can only be) a sign of intelligence. But the true significance of #LLM #AI is that they disrupt and undermine this very assumption. @politybooks
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Check out a "Weird AI" music album by @David_Gunkel composed with the help of AI @suno. The album features nine tracks where the lyrics explore fascinating questions about AI creativity
It gives me great pleasure to announce that the album "Weird AI" from Big Dada Project is now complete and available. This accordion-driven effort consists of nine #AI generated songs about #GenerativeAI
https://t.co/EpYUSSqz0G
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It gives me great pleasure to announce that the album "Weird AI" from Big Dada Project is now complete and available. This accordion-driven effort consists of nine #AI generated songs about #GenerativeAI
https://t.co/EpYUSSqz0G
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"AI, Ethics, and the End of the Human–Machine Divide." Third and final part of my conversation with Siamak Goudarzi for the Nexter AI Group podcast.
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I had the opportunity to speak with Seth Camillo and @CarolineRisberg for episode #55 "Is #AI Alive?" of @internetiscrack podcast. https://t.co/musGinzzg9
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Today in @aeonmag Andreas Mogensen and I discuss animal welfare, AI welfare, and probabilistic ethics. We make the case for addressing the moral status of animals and AIs as we address health, climate, and other big issues: with probabilistic reasoning and proportional responses.
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"Empathy, Ethics & Robot Rights: How AI Changes What It Means to Be Human" - Part two of my conversation with Siamak Goudarzi for the Nexter AI Group podcast. https://t.co/Y7kOHyqMWq
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#AI Welfare Interview with @jeffrsebo on The AI Risk Network Podcast.
New interview on AI welfare out today! https://t.co/Y20hyDQatO
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I had the opportunity to speak with Siamak Goudarzi about #AI personhood, #robotrights, and the moral/legal status of artifacts for the Nexter AI Group podcast.
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Interview about #GenerativeAI, authorship, and #ethics in the book "#AI Hokusai: Reflections on Art, #AI and Legacy" - https://t.co/k23HbuIOnx
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Photos from the "Rights for Robots?" event at @knoxcollege a few weeks ago. My thanks to @ProfessorGeraci for organizing the event and showing me around Galesburg, IL.
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Judge a book by its cover. The book that @MCoeckelbergh and I wrote on #LLMs and #GenAI--"Communicative #AI" @politybooks--is featured on the "Better Images of AI" blog. https://t.co/2v5GEgfZlG
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LLM 101: Critical Introduction to Large Language Models This Friday (31 October 2025), I will be presenting material from the book "Communicative AI" @politybooks during a #NorthernExposureNIU workshop. 71 North Partnership Studio, Founders Memorial Library, @NIUlive
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I am really excited about this new essay from Adrienne de Ruiter and published in "AI & Society" @SpringerPhil This just may be the most substantive, critical engagement with the relational turn as developed by @MCoeckelbergh and myself. https://t.co/Ot9IxyCWwJ
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A very insightful thread from @GundelGedanken tracking the contributions and importance of the book "Person, Thing, Robot" @mitpress Try it for yourself. The book is available as an #OpenAccess title:
direct.mit.edu
Why robots defy our existing moral and legal categories and how to revolutionize the way we think about them.Robots are a curious sort of thing. On the one
🧵 Person, Thing, Robot 1/11 Why might this be one of the most important books of our time? As new technologies accelerate beyond our grasp, they expose cracks in the very categories our legal and moral thinking rely on. David Gunkel (@David_Gunkel) argues: before we can solve
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