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About

Dallas Card is a leading researcher at the intersection of natural language processing, computational social science, and AI ethics. He is best known for his foundational contributions to understanding the societal implications of large-scale AI systems. His landmark paper, “On the Opportunities and Risks of Foundation Models” (2021), which has garnered over 2,100 citations, helped define the paradigm shift toward models like BERT and GPT-3, while critically examining their incomplete and potentially harmful nature. Card’s work often focuses on causal inference in text, algorithmic fairness, and the responsible deployment of language technologies. He has made significant strides in developing methods to uncover biases in NLP systems and to measure the impact of AI on public discourse. His research is widely cited across computer science and social science, reflecting its interdisciplinary reach. Card’s contributions have been recognized through multiple awards and invitations to speak at top venues. For students and researchers, his work serves as a model for combining technical rigor with a deep commitment to ethical and socially aware AI.