Large Language Label

Ekanem Okeke, Alex Stewart, Kyrylo Beskorovainyi

Track: Artwork

Keywords: AI-powered labeling, Embedded AI systems, Large Language Objects, Risk-Benefit Analysis

TL;DR: Description of a label printer that prints labels that feature lists of benefits and side effects generated by ChatGPT.

Abstract: The label is often the first place one looks to make a judgement about something. However, labels can also be places of both information scarcity and overload, limiting their efficacy, and forcing people to do their own research. What new understandings about our environment could be found by simply including the appropriate and relevant key information right there on the label? Large Language Label (LLL) enables people to evaluate their surroundings through a new lens by highlighting the benefits and negative consequences of objects, locations, and even people. LLL also gives agency to the user, allowing them to select the lens to evaluate the object through, and generates a physical label for it, a permanent marker of information about the object. Ultimately this project poses the following questions: what don't people consider about the things around them, and how can labels shape better understandings about the world around us.

Submission Number: 142