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Draft:Chirag Shah

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Chirag Shah
NationalityAmerican
Occupation(s)Professor, Author
Websitechiragshah.org

Chirag Shah is an American computer scientist, author, and a university professor.[1][2][3] He has close to 9,000 citations on Google Scholar.[4]

Education

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In 2000, Shah earned a Bachelor of Engineering in Computer Engineering from Dharamsinh Desai Institute of Technology.[1]

In 2002, he earned a Master of Technology in Computer Science and Engineering from the Indian Institute of Technology Madras.[1]

In 2006, he earned a Master of Science in Computer Science from the University of Massachusetts Amhers.[5]

In 2010, he earned a PhD in Information Science from the University of North Carolina at Chapel Hill.[6][5]

​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.[7][8]

Career

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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).[9][10] It has received more than $4 million USD in grants, including from Google, Amazon,[11] Yahoo![12], National Science Foundation (NSF),[13] 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).[14]

In May 2024, he 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.[15][16]

Shah was the recipient of the 2024 Research in Information Science Award by Association for Information Science & Technology (ASIS&T) for his contributions to the field.[17][18]

Publications

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His published work includes around 200 articles and 9 books. He has been cited close to 9,000 times according to Google Scholar.[4]

Selected research articles

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  • 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

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  • 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 [12]
  • 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 9781108839731[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][31]
  • Collaborative Information Seeking: The Art and Science of Making the Whole Greater than the Sum of All (2012) – published by Springer. ISBN 9783642288128 [32]

References

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  1. ^ a b c "iSchool Directory | Information School | University of Washington". ischool.uw.edu. Retrieved 2025-05-29.
  2. ^ "CIIR Talk Series: Chirag Shah | Center for Intelligent Information Retrieval". ciir.cs.umass.edu. Retrieved 2025-05-02.
  3. ^ "5 ways AI bias hurts your business | TechTarget". Search Enterprise AI. Retrieved 2025-05-02.
  4. ^ a b "Chirag Shah". scholar.google.com. Retrieved 2025-05-02.
  5. ^ a b "ORCID - Chirag Shah". orcid.org. Retrieved 2025-05-02.
  6. ^ 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 – via ieeexplore.ieee.org.
  7. ^ "Google's 'CEO' image search gender bias hasn't really been fixed: study". techxplore.com. February 16, 2022.
  8. ^ "Google's 'CEO' image search gender bias hasn't really". Bioengineer. 2022-02-16. Retrieved 2025-05-02.
  9. ^ sarajevo_times (2022-06-26). "Googling for the Truth about Srebrenica". Sarajevo Times. Retrieved 2025-05-02.
  10. ^ 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.
  11. ^ "Associate Professor Chirag Shah Receives Grant from Amazon". School of Communication and Information | Rutgers University. 2019-01-29. Retrieved 2025-05-02.
  12. ^ a b "Talk by Chirag Shah: "Going from 'What' and 'How' to 'Who' and 'Why': Task Analysis in Online and Physical Contexts" – Web Intelligence Group". 2019-03-08. Retrieved 2025-05-02.
  13. ^ writer, Teresa Bonilla Contributing (2020-03-06). "What's behind your search engine?". The Daily of the University of Washington. Retrieved 2025-05-02.
  14. ^ "Experts From the University of Washington Say Fear Surrounding AI Technology Is Misplaced". South Seattle Emerald. 2023-06-12. Retrieved 2025-05-02.
  15. ^ "Why Google's AI Overviews gets things wrong". MIT Technology Review. Retrieved 2025-05-02.
  16. ^ "Google makes fixes to AI-generated search summaries after outlandish answers went viral". AP News. 2024-05-31. Retrieved 2025-05-02.
  17. ^ "Research in Information Science Recipients". Association for Information Science and Technology | ASIS&T. Retrieved 2025-05-02.
  18. ^ "Chirag Shah to Receive the 2024 ASIS&T Research in Information Science Award". Association for Information Science and Technology | ASIS&T. 2024-06-24. Retrieved 2025-05-02.
  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.
  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". Policy & Internet. 2 (2): 7–32. doi:10.2202/1944-2866.1040. hdl:10822/559283. ISSN 1944-2866.
  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. arXiv:2010.10596. doi:10.1145/3677119. ISSN 0360-0300.
  22. ^ "Task Intelligence for Search and Recommendation". ResearchGate. June 2021.
  23. ^ White, Ryen W.; Shah, Chirag, eds. (2025). "Information Access in the Era of Generative AI". The Information Retrieval Series. 51. doi:10.1007/978-3-031-73147-1. ISBN 978-3-031-73146-4. ISSN 1871-7500.
  24. ^ White, Ryen W.; Shah, Chirag (2025-03-28). "Panmodal Information Interaction". Commun. ACM. 68 (4): 33–36. arXiv:2405.12923. doi:10.1145/3701534. ISSN 0001-0782.
  25. ^ Shah, Chirag (2020). A Hands-On Introduction to Data Science. Cambridge: Cambridge University Press. doi:10.1017/9781108560412. ISBN 978-1-108-56041-2.
  26. ^ "A Hands-On Introduction to Data Science". ResearchGate. February 2020.
  27. ^ Shah, Chirag. "A Hands-On Introduction to Data Science" (PDF).
  28. ^ "Interactive IR User Study Design, Evaluation, and Reporting". par.nsf.gov.
  29. ^ "Chirag Shah Publishes First Book of its Kind on Social Information Seeking". School of Communication and Information | Rutgers University. 2017-07-25. Retrieved 2025-05-02.
  30. ^ Shah, Chirag (2014-08-09). 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.
  31. ^ Shah, Chirag; Capra, Robert; Hansen, Preben (2014). "Collaborative Information Seeking [Guest editors' introduction]". Computer. 47 (3): 22–25. doi:10.1109/MC.2014.54. ISSN 1558-0814.
  32. ^ Shah, Chirag (2012-07-04). 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.
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