Projects per year
Personal profile
Research profile
My research centers around reliable and sustainable AI. Core to my work is understanding when and how can NLP systems make the world's information reliable and accessible, while mitigating the environmental and social risks these systems can bring. This includes the factuality, faithfulness, and diversity of information these systems produce, as well as the efficiency with which they can produce them. The methods I use come from machine learning and natural language processing. Previously I was a Danish Data Science Academy postdoctoral fellow at the University of Copenhagen, was a visitor to the BlaBlaBlab at the University of Michigan, and was a postdoc in the Saints Lab working on sustainable AI. I did my PhD at the University of Copenhagen in the CopeNLU lab where I worked on automated fact checking, automatic understanding and analysis of science communication, and domain adaptation. I received my master’s degree from University of California, San Diego, and have worked at IBM Research and the Allen Institute for Artificial Intelligence on the Semantic Scholar project.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 4 Quality Education
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SDG 10 Reduced Inequalities
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SDG 12 Responsible Consumption and Production
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SDG 16 Peace, Justice and Strong Institutions
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Collaborations and top research areas from the last five years
Projects
- 1 Not started
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Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking.
Roitero, K., Wright, D., Soprano, M., Augenstein, I. & Mizzaro, S., 2025, SIGIR '25: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), p. 457-467 11 p.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)12 Downloads (Pure) -
Efficiency Is Not Enough: A Critical Perspective on Environmentally Sustainable AI
Wright, D., Igel, C., Samuel, G. & Selvan, R., 2025, In: Communications of the A C M. 68, 7, p. 62-69 8 p., 7.Research output: Contribution to journal › Journal article › Research › peer-review
14 Link opens in a new tab Citations (Scopus) -
Epistemic Diversity and Knowledge Collapse in Large Language Models
Wright, D., Masud, S., Moore, J., Yadav, S., Antoniak, M., Christensen, P. E., Park, C. Y. & Augenstein, I., 2025, arXiv, 21 p. (CoRR).Research output: Working paper/Preprint › Preprint
Open Access -
Machine Understanding of Scientific Language.
Wright, D., Jun 2025, In: CoRR. abs/2506.23990Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Modeling Public Perceptions of Science in Media.
Pei, J., Wright, D., Augenstein, I. & Jurgens, D., 2025, In: CoRR. abs/2506.16622Research output: Contribution to journal › Journal article › Research
Open AccessFile7 Downloads (Pure)
Prizes
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D3A Audience Award
Bakka, J. M. (Recipient), Wright, D. B. (Recipient) & Bjerva, J. (Recipient), 8 Oct 2026
Prize: Conference prizes
Press/Media
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AI-powered search is convenient but makes us dumber – study
01/10/2026 → 03/10/2026
2 items of Media coverage
Press/Media: Press / Media
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AI Chatbots Risk 'Knowledge Collapse,' Researchers Warn
26/09/2026 → 30/09/2026
66 items of Media coverage
Press/Media: Press / Media