Digital resources in the Social Sciences and Humanities OpenEdition Our platforms OpenEdition Books OpenEdition Journals Hypotheses Calenda Libraries OpenEdition Freemium Follow us

Shawn Graham: Do It Yourself Digital Golems. Experiments with various AI, neural networks, and other technologies for archaeology

The golem is a creature animated by the words in its head. Emerging from Jewish traditions, the words that did the animation had connections with divinity, but the golems themselves despite this spark of the divine toiled at mundane chores. But sometimes, the golems would get out of control, and become figures of terror. My none-too-subtle analogy is this: animated by the ‘words in their heads’, the anthropomorphized neural networks of contemporary ‘ai’ (and ‘agi’: artificial general intelligence) are similar figures, with similar connections to the divine (we are told: ‘agi’ will transcend us; ‘agi’ will bring about the singularity; ‘agi’ will make us all posthuman). In this talk, I will explore some of my experiments trying to teach these technologies ethically and critically. I will explore some of the ways I have been trying to raise my own digital golems for my mundane archaeological needs. This is a talk filled with failure and experimentation. But maybe, also, something useful.

Lecture within the Open Research Colloquium Digital History
Time:
Wednesday, 5 February 2025, 4:15-5:45 pm CET
Place:
via Zoom – Request access via email (digitalhistory@hu-berlin.de) or Mailinglist


OpenEdition schlägt Ihnen vor, diesen Beitrag wie folgt zu zitieren:
Digital History Berlin (Redaktion) (31. Januar 2025). Shawn Graham: Do It Yourself Digital Golems. Experiments with various AI, neural networks, and other technologies for archaeology. Digital History Berlin. Abgerufen am 12. Februar 2025 von https://doi.org/10.58079/137qp


Schreibe einen Kommentar

Deine E-Mail-Adresse wird nicht veröffentlicht. Erforderliche Felder sind mit * markiert

Diese Website verwendet Akismet, um Spam zu reduzieren. Erfahre mehr darüber, wie deine Kommentardaten verarbeitet werden.