activity
20222024
most citedTruth Machines: Synthesizing Veracity in AI Language Models

6 citations · 17 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2024★ 3 cited

The Drama Machine: Simulating Character Development with LLM Agents

Liam Magee, Vanicka Arora, Gus Gollings +1

This paper explores use of multiple large language model (LLM) agents to simulate complex, dynamic characters in dramatic scenarios. We introduce a drama machine framework that coo…

cs.CY2024

Attention is All You Want: Machinic Gaze and the Anthropocene

Liam Magee, Vanicka Arora

This chapter experiments with ways computational vision interprets and synthesises representations of the Anthropocene. Text-to-image systems such as MidJourney and StableDiffusion…

cs.CY2023

(Re)framing Built Heritage through the Machinic Gaze

Vanicka Arora, Liam Magee, Luke Munn

Built heritage has been both subject and product of a gaze that has been sustained through moments of colonial fixation on ruins and monuments, technocratic examination and represe…

cs.CY2023★ 3 cited

Unmaking AI Imagemaking: A Methodological Toolkit for Critical Investigation

Luke Munn, Liam Magee, Vanicka Arora

AI image models are rapidly evolving, disrupting aesthetic production in many industries. However, understanding of their underlying archives, their logic of image reproduction, an…

cs.CY2023★ 6 cited

Truth Machines: Synthesizing Veracity in AI Language Models

Luke Munn, Liam Magee, Vanicka Arora

As AI technologies are rolled out into healthcare, academia, human resources, law, and a multitude of other domains, they become de-facto arbiters of truth. But truth is highly con…

cs.CY2022★ 5 cited

Structured Like a Language Model: Analysing AI as an Automated Subject

Liam Magee, Vanicka Arora, Luke Munn

Drawing from the resources of psychoanalysis and critical media studies, in this paper we develop an analysis of Large Language Models (LLMs) as automated subjects. We argue the in…