Algorithmic justice / participatory researchequity in AI developmentParticipation documented
Good Systems skilled trades co-design project
Austin, United States
NSF materials describe research on co-designing AI-based tools with skilled trade workers to support rather than replace their labor.
participatory designhuman-centered AIproblem formulationdesignevaluation
- Region
- North America
- Lead organization
- Good Systems / University of Texas at Austin
- Organization type
- university
- Technology group
- AI-enhanced worker tools
- Activity status
- funded
- Start year
- 2024
- Last updated
- Mar 25, 2026
- Participation mode
- co-design with affected users and domain experts
- Participants
- skilled trade workers; researchers; students
- Methods
- co-design; worker interviews; tool prototyping
- AI lifecycle stages
- problem formulation; design; evaluation
- Evidence summary
- NSF materials describe research on co-designing AI-based tools with skilled trade workers to support rather than replace their labor.
- Atlas assessment
- Core · High confidence · evidence grade A
- Uncertainty
- Public evidence indicates that stakeholders directly shaped AI design, data, deployment, evaluation, or oversight; residual uncertainty concerns the exact degree of shared decision power rather than project existence.
- Participation group
- Co Design
- Technology description
- AI-enhanced worker tools
- Funding
- Not documented
- Region of activity
- local
- Verification status
- Mixed Verified
Community input
Corrections, annotations, and private disclosure requests.
Good Systems skilled trades co-design project has 0 published community items.
Published corrections
Loading moderation history...
Published annotations
Loading annotations...
Submit a correction
Flag a metadata problem or submit a dispute for Good Systems skilled trades co-design project.
Submit an annotation
Add context without editing the record itself.
Request restricted disclosure
These requests are private and reviewed for later releases.
Related records
Accessibility / dataset stewardshipNorth America
Contributing to Accessibility DatasetsCollege Park, United States
Open recordEducation / end-user machine teachingNorth America
Crowdsourcing the Perception of Machine TeachingCollege Park, United States
Open recordEducation / critical ML co-designNorth America
Designing with and for YouthClemson, United States
Open recordEducation / machine teaching co-designNorth America
Exploring Machine Teaching with ChildrenCollege Park, United States
Open record