Biography:Chirag Shah

From HandWiki
Short description: American computer scientist and professor of information science
Chirag Shah
Known forInformation seeking, Artificial intelligence, Societal implications of AI, Gender bias in AI search
AwardsResearch in Information Science Award (2024)
Academic background
Alma materDharamsinh Desai Institute of Technology (BE)

Indian Institute of Technology Madras (MTech)

University of Massachusetts Amherst (MS)

University of North Carolina at Chapel Hill (PhD)
Academic work
Notable worksA Hands-on Introduction to Machine Learning (2023)

A Hands-On Introduction to Data Science (2020)

Information Access in the Era of Generative AI (2025)

Chirag Shah is an American computer scientist, author, and a university professor.[1] He is known for his research in information science, particularly in areas such as information seeking, artificial intelligence, and the societal implications of AI systems.[2][3] He is a professor at the University of Washington Information School, where he also co-directs the Center for Responsibility in AI Systems & Experiences (RAISE) and founded the InfoSeeking Lab. Shah was awarded the 2024 Research in Information Science Award by Association for Information Science & Technology (ASIS&T) for his contributions to the field.[4][5]

Education

Shah earned a Bachelor of Engineering in Computer Engineering from Dharamsinh Desai Institute of Technology,[1] and a Master of Technology in Computer Science and Engineering from the Indian Institute of Technology Madras in 2002.[1] He then did his Master of Science degree in Computer Science from the University of Massachusetts Amhers.[6]

In 2010, he earned a PhD in Information Science from the University of North Carolina at Chapel Hill.[7][6]

Career

Shah's career started in 2010 as an Assistant Professor position at Rutgers University. In 2010, he also launched InfoSeeking Lab, which is currently located at the Information School at University of Washington. The lab conducts research and educational activities in the broader fields of Information and Data Sciences, with a particular focus on information seeking, retrieval, behavior, and artificial intelligence (AI).[8][9] It has received more than $4 million USD in grants, including from Google, Amazon,[10] Yahoo!,[11] National Science Foundation (NSF),[12] and Institute of Museum and Library Services (IMLS).

In 2019, Shah was hired by the University of Washington Information School as an associate professor and eventually became the founding co-director of the Center for Responsibility in AI Systems & Experiences (RAISE).[13]

In 2022, Shah co-authored a study revealing that gender bias in image search results for occupations like "CEO" persists across major search engines, including Google, especially when additional terms like "United States" are included, despite previous claims of bias correction.[14][15] Shah has expressed concerns regarding the reliability of AI-generated search summaries, noting that the integration of AI into search results could affect users' trust in the information provided.[16][17]

Honors and awards

  • 2022: ACM Distinguished Member[18]
  • 2024: Research in Information Science Award

Publications

Selected research articles

  • 2010, C Shah, J Pomerantz, Evaluating and predicting answer quality in community QA. Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval[19]
  • 2010, B Sayre, L Bode, D Shah, D Wilcox, C Shah, Agenda setting in a digital age: Tracking attention to California Proposition 8 in social media, online news and conventional news, Policy and Internet[20]
  • 2024, S Verma, V Boonsanong, M Hoang, K Hines, J Dickerson, C Shah, Counterfactual explanations and algorithmic resources for machine learning: A review. ACM Computing Surveys[21]

Books

  • A Hands-on Introduction to Machine Learning (2023)– published by Cambridge University Press. ISBN 9781009123303
  • Information Access in the Era of Generative AI (2025). ISBN 9783031421235 [11]
  • Task Intelligence for Search and Recommendation (2021) – co-authored with Ryen W. White, published by Springer. ISBN 9783031011986[22]'[23]'[24]
  • A Hands-On Introduction to Data Science (2020) – published by Cambridge University Press. ISBN 9781108472449[25][26][27]
  • Interactive IR User Study Design, Evaluation, and Reporting (2019) – published by Morgan & Claypool Publishers. ISBN 9781681735818[28]
  • Social Information Seeking: Leveraging the Wisdom of the Crowd (2017) – published by Springer. ISBN 9783319567556[29]
  • Collaborative Information Seeking: Best Practices, New Domains and New Thoughts (2014) – co-edited with Preben Hansen and Claus-Peter Klas, published by Springer. ISBN 9783319185415[30]
  • Collaborative Information Seeking: The Art and Science of Making the Whole Greater than the Sum of All (2012) – published by Springer. ISBN 9783642288128 [31]

References

  1. ↑ 1.0 1.1 1.2 "iSchool Directory | Information School | University of Washington" (in en). http://ischool.uw.edu/people/faculty/profile/chirags. 
  2. ↑ "CIIR Talk Series: Chirag Shah | Center for Intelligent Information Retrieval". https://ciir.cs.umass.edu/node/619. 
  3. ↑ "5 ways AI bias hurts your business | TechTarget" (in en). https://www.techtarget.com/searchenterpriseai/feature/5-ways-AI-bias-hurts-your-business. 
  4. ↑ "Research in Information Science Recipients" (in en-US). https://www.asist.org/programs-services/awards-honors/research-award/research-recipients/. 
  5. ↑ "Chirag Shah to Receive the 2024 ASIS&T Research in Information Science Award" (in en-US). 2024-06-24. https://www.asist.org/2024/06/24/chirag-shah-to-receive-the-2024-asist-research-in-information-science-award/. 
  6. ↑ 6.0 6.1 "ORCID - Chirag Shah". https://orcid.org/0000-0002-3797-4293. 
  7. ↑ Shah, Chirag; Capra, Robert; Hansen, Preben (2014-03-01). "Collaborative Information Seeking [Guest editors' introduction]". Computer 47 (3): 22–25. doi:10.1109/MC.2014.54. ISSN 1558-0814. 
  8. ↑ sarajevo_times (2022-06-26). "Googling for the Truth about Srebrenica" (in en-US). https://sarajevotimes.com/googling-for-the-truth-about-srebrenica/. 
  9. ↑ Shah, Chirag; Capra, Rob; Hansen, Preben (2017-04-01). "Research agenda for social and collaborative information seeking". Library & Information Science Research 39 (2): 140–146. doi:10.1016/j.lisr.2017.03.005. ISSN 0740-8188. https://www.sciencedirect.com/science/article/abs/pii/S074081881630127X. 
  10. ↑ "Associate Professor Chirag Shah Receives Grant from Amazon" (in en). 2019-01-29. https://comminfo.rutgers.edu/news/associate-professor-chirag-shah-receives-grant-amazon. 
  11. ↑ 11.0 11.1 "Talk by Chirag Shah: "Going from 'What' and 'How' to 'Who' and 'Why': Task Analysis in Online and Physical Contexts" – Web Intelligence Group" (in en-US). 2019-03-08. https://wi.cs.ucl.ac.uk/index.php/2019/03/08/talk-by-chirag-shah-going-from-what-and-how-to-who-and-why-task-analysis-in-online-and-physical-contexts/. 
  12. ↑ writer, Teresa Bonilla Contributing (2020-03-06). "What's behind your search engine?" (in en). https://www.dailyuw.com/news/what-s-behind-your-search-engine/article_fe5308fc-5f53-11ea-b865-77a7396ce59b.html. 
  13. ↑ "Experts From the University of Washington Say Fear Surrounding AI Technology Is Misplaced" (in en). 2023-06-12. https://southseattleemerald.org/news/2023/06/12/experts-from-the-university-of-washington-say-fear-surrounding-ai-technology-is-misplaced. 
  14. ↑ "Google's 'CEO' image search gender bias hasn't really been fixed: study". February 16, 2022. https://techxplore.com/news/2022-02-google-ceo-image-gender-bias.html. 
  15. ↑ "Google's 'CEO' image search gender bias hasn't really" (in en-US). 2022-02-16. https://bioengineer.org/googles-ceo-image-search-gender-bias-hasnt-really-been-fixed/. 
  16. ↑ "Why Google's AI Overviews gets things wrong" (in en). https://www.technologyreview.com/2024/05/31/1093019/why-are-googles-ai-overviews-results-so-bad/. 
  17. ↑ "Google makes fixes to AI-generated search summaries after outlandish answers went viral" (in en). 2024-05-31. https://apnews.com/article/google-ai-overviews-hallucination-33060569d6cc01abe6c63d21665330d8. 
  18. ↑ Jim Ormond (December 7, 2022). "World’s Largest Computing Society Honors 2022 Distinguished Members for Ground-Breaking Achievements and Longstanding Participation: Pivotal Educational, Engineering, and Scientific Contributions Recognized". https://www.acm.org/media-center/2022/december/distinguished-members-2022. 
  19. ↑ Shah, Chirag; Pomerantz, Jefferey (2010-07-19). "Evaluating and predicting answer quality in community QA". Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval. SIGIR '10. New York, NY, USA: Association for Computing Machinery. pp. 411–418. doi:10.1145/1835449.1835518. ISBN 978-1-4503-0153-4. https://dl.acm.org/doi/10.1145/1835449.1835518. 
  20. ↑ Sayre, Ben; Bode, Leticia; Shah, Dhavan; Wilcox, Dave; Shah, Chirag (2010). "Agenda Setting in a Digital Age: Tracking Attention to California Proposition 8 in Social Media, Online News and Conventional News" (in en). Policy & Internet 2 (2): 7–32. doi:10.2202/1944-2866.1040. ISSN 1944-2866. https://onlinelibrary.wiley.com/doi/10.2202/1944-2866.1040. 
  21. ↑ Verma, Sahil; Boonsanong, Varich; Hoang, Minh; Hines, Keegan; Dickerson, John; Shah, Chirag (2024-10-03). "Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review". ACM Comput. Surv. 56 (12): 312:1–312:42. doi:10.1145/3677119. ISSN 0360-0300. https://dl.acm.org/doi/10.1145/3677119. 
  22. ↑ "Task Intelligence for Search and Recommendation". June 2021. https://www.researchgate.net/publication/352273849. 
  23. ↑ White, Ryen W.; Shah, Chirag, eds (2025). "Information Access in the Era of Generative AI" (in en). The Information Retrieval Series 51. doi:10.1007/978-3-031-73147-1. ISBN 978-3-031-73146-4. ISSN 1871-7500. https://link.springer.com/book/10.1007/978-3-031-73147-1. 
  24. ↑ White, Ryen W.; Shah, Chirag (2025-03-28). "Panmodal Information Interaction". Commun. ACM 68 (4): 33–36. doi:10.1145/3701534. ISSN 0001-0782. https://dl.acm.org/doi/10.1145/3701534. 
  25. ↑ Shah, Chirag (2020). A Hands-On Introduction to Data Science. Cambridge: Cambridge University Press. doi:10.1017/9781108560412. ISBN 9781108472449. https://www.cambridge.org/core/books/hands-on-introduction-to-data-science/2BD7407A5033B91B301C163CD3168744. 
  26. ↑ "A Hands-On Introduction to Data Science". February 2020. https://www.researchgate.net/publication/338979634. 
  27. ↑ Shah, Chirag. "A Hands-On Introduction to Data Science". http://103.203.175.90:81/fdScript/RootOfEBooks/E%20Book%20collection%20-%202023%20-%20C/CSEITAIDS/A_Hands_On_Introduction_to_Data_Science_Chirag_Shah_Z_Library.pdf. 
  28. ↑ "Interactive IR User Study Design, Evaluation, and Reporting". https://par.nsf.gov/servlets/purl/10099028. 
  29. ↑ "Chirag Shah Publishes First Book of its Kind on Social Information Seeking" (in en). 2017-07-25. https://comminfo.rutgers.edu/news/chirag-shah-publishes-first-book-its-kind-social-information-seeking. 
  30. ↑ Shah, Chirag (2014-08-09) (in en). Collaborative Information Seeking: The Art and Science of Making the Whole Greater than the Sum of All. Springer Berlin Heidelberg. ISBN 978-3-642-43899-8. https://books.google.com/books?id=PErdoQEACAAJ. 
  31. ↑ Shah, Chirag (2012-07-04) (in en). Collaborative Information Seeking: The Art and Science of Making the Whole Greater than the Sum of All. Springer Berlin Heidelberg. ISBN 978-3-642-28812-8. https://books.google.com/books?id=YxlMuAAACAAJ. 




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