DSS Job Allocation Simulation

What Happens When Your Labor Is Reassigned by AI? What Would It Mean to Work for a More-Than-Human Commons?

The Job Allocation Interface is powered by a custom AI model developed and trained to analyze real ecological data and documented environmental conditions. It identifies ecological needs, proposes possible interventions, and translates them into temporary human roles of care. While the resulting labor system is speculative, its jobs respond to real environmental evidence rather than being invented in isolation. Through the interface, audiences can explore how an AI-managed ecological commons might detect environmental imbalance, allocate labor, and ask what it means to work for an ecosystem rather than for profit.

View Full Concept

(Partners)

Gray Area Art & Technology

University of California, Davis

City University of Hong Kong

(Date)

2026

Details

The Job Allocation Interface is a speculative DSS system that uses a custom AI agent to analyze real-world ecological evidence, identify environmental needs, and translate them into human roles. Through the interface, audiences can explore how an AI-managed ecological commons might assess environmental conditions, recognize areas of imbalance, and assign people to temporary forms of ecological labor.

The Job Allocation Interface is powered by a custom AI agent developed and trained by the DSS team specifically for this project. Rather than generating jobs from fictional scenarios alone, the agent analyzes a curated evidence base of ecological news, environmental datasets, and reports from organizations, researchers, and local communities. Using a structured DSS framework, it translates documented ecological problems into proposed interventions and corresponding job descriptions. The ecological conditions are real; the labor system and roles generated in response to them are speculative. Audiences interact with the Job Allocation Interface by answering a few simple questions about their preferred work style, location, and ecological systems of interest. Based on their responses, the system matches them with a selection of possible DSS jobs, allowing each participant to imagine how their skills, habits, and preferences might be reassigned within a more-than-human commons.

‍

Rather than optimizing human work for profit or productivity, the system imagines labor as a way to support ecological function. Participants are invited to receive a role, review their assigned task, and consider what it would mean to be employed by an ecosystem.

‍