Salvage Anthropology and Low-Resource NLP: What Computer Science Should Learn from the Social Sciences
In this contribution to the Association for Computing Machinery’s Interactions, David Gray Widder and Tamara Kneese argue that computer scientists can learn important lessons about reflexivity from the social sciences by engaging with "salvage anthropology."
Computer science can learn from anthropology’s attempts at reckoning with its own problematic history to offer more-reparative approaches that center communities’ needs and trouble power structures. While the social sciences should not be lionized, computer science can learn from how anthropology has faced its demons.