Agentic data science with the Data Agent Kit
cloud.google.com·7h ago
AI Research
arXiv CS.AI·Aug 11·5 min read
Abstracted Away: Resisting Alienation and Ungrounded Abstraction in AI Research Communities
TL;DR
Three early-career critical AI researchers share their experiences of alienation in AI research communities, highlighting how abstraction distances researchers from lived experiences and critical reflection. They propose a framework to resist this alienation and promote inclusivity in AI research.
✦ Why It Matters
Reflect on your own experiences in research communities to identify and resist alienation today.
Key Takeaways
- Engage in critical self-reflection about your research experiences.
- Recognize and resist mechanisms of alienation in your community.
- Foster collective action to support inclusivity in AI research.
- Utilize the proposed framework to analyze your own experiences.
How It Works
The interpretive framework categorizes alienation into preconditions, mechanisms, and harms, helping researchers identify and address their experiences of exclusion.