Enough With "Human-AI Collaboration"

Abstract

Describing our interaction with Artificial Intelligence (AI) systems as 'collaboration' is well-intentioned, but flawed. Not only is it misleading, but it also takes away the credit of AI 'labour' from the humans behind it, and erases and obscures an often exploitative arrangement between AI producers and consumers. The AI 'collaboration' metaphor is merely the latest episode in a long history of labour appropriation and credit reassignment that disenfranchises labourers in the Global South. I propose that viewing AI as a tool or an instrument, rather than a collaborator, is more accurate, and ultimately fairer.

References in corpus (2)

• Training Compute-Optimal Large Language Models
• Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions

Cited by in corpus (7)

• Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots
• AI Should Challenge, Not Obey
• "It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
• Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Work
• AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
• Thoughtful, Confused, or Untrustworthy: How Text Presentation Influences Perceptions of AI Writing Tools
• Constella: Supporting Storywriters' Interconnected Character Creation through LLM-based Multi-Agents