About this Event
The International Network on Digital Labor (INDL) is pleased to announce its first symposium in North America, which will be held at Yale University in New Haven, Connecticut, United States, on April 29, 2026.
The theme for this inaugural North American symposium, “Workers Building, Using, and Resisting AI,” highlights the essential role of labor not only in creating AI models but also in shaping how those technologies reshape work, sustaining labor practices, and developing local strategies to navigate, adapt to, or push back against AI‑driven change. The symposium adopts a broad interpretation of labor’s role in artificial intelligence and related technologies, encompassing the infrastructures and hardware of AI—from manufacturing and assembly to data‑center operations—as well as the many roles involved in its development, from engineering to data work. AI applications are also considered broadly, ranging from computer vision and large‑language models to recommender systems and other reinforcement‑learning‑based tools.
INDL-NA will feature speakers who discuss the role of workers and labor at any point in the extensive AI data pipeline, whether examined from a global or local perspective, and whether focused on data, hardware, infrastructure, models, and their usage. Submissions are welcomed on traditional INDL topics, including:
- Digital labor and AI
- Worker surveillance and algorithmic management
- Governance, regulation, and legislation in AI-related digital labor
- Worker resistance, collective action, refusal, and alternatives
- Automation
As well as on emerging themes within INDL such as:
- The role of women and gender in AI‑related occupations
- Global aspects of labor in the development and uses of AI
- Environmental challenges of labor and AI
- The influence of management and corporations on labor’s persistence in AI
Event Venue & Nearby Stays
Yale University, 219 Prospect St, New Haven, United States
USD 0.00
