Chirag Shah
{{Short description|American computer scientist and professor of information science}}
{{Infobox academic
| name = Chirag Shah
| image = Chirag Shah.jpg
| known_for = Information seeking, Artificial intelligence, Societal implications of AI, Gender bias in AI search
| awards = Research in Information Science Award (2024)
| alma_mater = Dharamsinh Desai Institute of Technology (BE)
Indian Institute of Technology Madras (MTech)
University of Massachusetts Amherst (MS)
University of North Carolina at Chapel Hill (PhD)
| notable_works = A 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.{{Cite web |title=iSchool Directory {{!}} Information School {{!}} University of Washington |url=http://ischool.uw.edu/people/faculty/profile/chirags |access-date=2025-05-29 |website=ischool.uw.edu |language=en}} 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.{{Cite web |title=CIIR Talk Series: Chirag Shah {{!}} Center for Intelligent Information Retrieval |url=https://ciir.cs.umass.edu/node/619 |access-date=2025-05-02 |website=ciir.cs.umass.edu}}{{Cite web |title=5 ways AI bias hurts your business {{!}} TechTarget |url=https://www.techtarget.com/searchenterpriseai/feature/5-ways-AI-bias-hurts-your-business |access-date=2025-05-02 |website=Search Enterprise AI |language=en}} 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.{{Cite web |title=Research in Information Science Recipients |url=https://www.asist.org/programs-services/awards-honors/research-award/research-recipients/ |access-date=2025-05-02 |website=Association for Information Science and Technology {{!}} ASIS&T |language=en-US}}{{Cite web |date=2024-06-24 |title=Chirag Shah to Receive the 2024 ASIS&T Research in Information Science Award |url=https://www.asist.org/2024/06/24/chirag-shah-to-receive-the-2024-asist-research-in-information-science-award/ |access-date=2025-05-02 |website=Association for Information Science and Technology {{!}} ASIS&T |language=en-US}}
Education
Shah earned a Bachelor of Engineering in Computer Engineering from Dharamsinh Desai Institute of Technology, and a Master of Technology in Computer Science and Engineering from the Indian Institute of Technology Madras in 2002. He then did his Master of Science degree in Computer Science from the University of Massachusetts Amhers.{{Cite web |title=ORCID - Chirag Shah |url=https://orcid.org/0000-0002-3797-4293 |access-date=2025-05-02 |website=orcid.org}}
In 2010, he earned a PhD in Information Science from the University of North Carolina at Chapel Hill.{{Cite journal |date=2014-03-01 |title=Collaborative Information Seeking [Guest editors' introduction] |url=https://ieeexplore.ieee.org/document/6766104 |journal=Computer |volume=47 |issue=3 |pages=22–25 |doi=10.1109/MC.2014.54 |issn=1558-0814 |via=ieeexplore.ieee.org |last1=Shah |first1=Chirag |last2=Capra |first2=Robert |last3=Hansen |first3=Preben }}
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).{{Cite web |last=sarajevo_times |date=2022-06-26 |title=Googling for the Truth about Srebrenica |url=https://sarajevotimes.com/googling-for-the-truth-about-srebrenica/ |access-date=2025-05-02 |website=Sarajevo Times |language=en-US}}{{Cite journal |last1=Shah |first1=Chirag |last2=Capra |first2=Rob |last3=Hansen |first3=Preben |date=2017-04-01 |title=Research agenda for social and collaborative information seeking |url=https://www.sciencedirect.com/science/article/abs/pii/S074081881630127X |journal=Library & Information Science Research |volume=39 |issue=2 |pages=140–146 |doi=10.1016/j.lisr.2017.03.005 |issn=0740-8188|url-access=subscription }} It has received more than $4 million USD in grants, including from Google, Amazon,{{Cite web |date=2019-01-29 |title=Associate Professor Chirag Shah Receives Grant from Amazon |url=https://comminfo.rutgers.edu/news/associate-professor-chirag-shah-receives-grant-amazon |access-date=2025-05-02 |website=School of Communication and Information {{!}} Rutgers University |language=en}} Yahoo!,{{Cite web |date=2019-03-08 |title=Talk by Chirag Shah: "Going from 'What' and 'How' to 'Who' and 'Why': Task Analysis in Online and Physical Contexts" – Web Intelligence Group |url=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/ |access-date=2025-05-02 |language=en-US}} National Science Foundation (NSF),{{Cite web |last=writer |first=Teresa Bonilla Contributing |date=2020-03-06 |title=What's behind your search engine? |url=https://www.dailyuw.com/news/what-s-behind-your-search-engine/article_fe5308fc-5f53-11ea-b865-77a7396ce59b.html |access-date=2025-05-02 |website=The Daily of the University of Washington |language=en}} 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).{{Cite web |date=2023-06-12 |title=Experts From the University of Washington Say Fear Surrounding AI Technology Is Misplaced |url=https://southseattleemerald.org/news/2023/06/12/experts-from-the-university-of-washington-say-fear-surrounding-ai-technology-is-misplaced |access-date=2025-05-02 |website=South Seattle Emerald |language=en}}
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.{{Cite web |date=February 16, 2022 |title=Google's 'CEO' image search gender bias hasn't really been fixed: study |url=https://techxplore.com/news/2022-02-google-ceo-image-gender-bias.html |website=techxplore.com}}{{Cite web |date=2022-02-16 |title=Google's 'CEO' image search gender bias hasn't really |url=https://bioengineer.org/googles-ceo-image-search-gender-bias-hasnt-really-been-fixed/ |access-date=2025-05-02 |website=Bioengineer |language=en-US}} 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.{{Cite web |title=Why Google's AI Overviews gets things wrong |url=https://www.technologyreview.com/2024/05/31/1093019/why-are-googles-ai-overviews-results-so-bad/ |access-date=2025-05-02 |website=MIT Technology Review |language=en}}{{Cite web |date=2024-05-31 |title=Google makes fixes to AI-generated search summaries after outlandish answers went viral |url=https://apnews.com/article/google-ai-overviews-hallucination-33060569d6cc01abe6c63d21665330d8 |access-date=2025-05-02 |website=AP News |language=en}}
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{{Cite book |last1=Shah |first1=Chirag |title=Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval |last2=Pomerantz |first2=Jefferey |date=2010-07-19 |publisher=Association for Computing Machinery |isbn=978-1-4503-0153-4 |series=SIGIR '10 |location=New York, NY, USA |pages=411–418 |chapter=Evaluating and predicting answer quality in community QA |doi=10.1145/1835449.1835518 |chapter-url=https://dl.acm.org/doi/10.1145/1835449.1835518}}
- 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{{Cite journal |last1=Sayre |first1=Ben |last2=Bode |first2=Leticia |last3=Shah |first3=Dhavan |last4=Wilcox |first4=Dave |last5=Shah |first5=Chirag |date=2010 |title=Agenda Setting in a Digital Age: Tracking Attention to California Proposition 8 in Social Media, Online News and Conventional News |url=https://onlinelibrary.wiley.com/doi/10.2202/1944-2866.1040 |journal=Policy & Internet |language=en |volume=2 |issue=2 |pages=7–32 |doi=10.2202/1944-2866.1040 |issn=1944-2866 |hdl=10822/559283}}
- 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{{Cite journal |last1=Verma |first1=Sahil |last2=Boonsanong |first2=Varich |last3=Hoang |first3=Minh |last4=Hines |first4=Keegan |last5=Dickerson |first5=John |last6=Shah |first6=Chirag |date=2024-10-03 |title=Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review |url=https://dl.acm.org/doi/10.1145/3677119 |journal=ACM Comput. Surv. |volume=56 |issue=12 |pages=312:1–312:42 |arxiv=2010.10596 |doi=10.1145/3677119 |issn=0360-0300}}
= 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}}
- Task Intelligence for Search and Recommendation (2021) – co-authored with Ryen W. White, published by Springer.{{ISBN|9783031011986}}{{Cite web |date=June 2021 |title=Task Intelligence for Search and Recommendation |url=https://www.researchgate.net/publication/352273849 |website=ResearchGate}}'{{Cite journal |date=2025 |editor-last=White |editor-first=Ryen W. |editor2-last=Shah |editor2-first=Chirag |title=Information Access in the Era of Generative AI |url=https://link.springer.com/book/10.1007/978-3-031-73147-1 |journal=The Information Retrieval Series |language=en |volume=51 |doi=10.1007/978-3-031-73147-1 |isbn=978-3-031-73146-4 |issn=1871-7500|url-access=subscription }}'{{Cite journal |last1=White |first1=Ryen W. |last2=Shah |first2=Chirag |date=2025-03-28 |title=Panmodal Information Interaction |url=https://dl.acm.org/doi/10.1145/3701534 |journal=Commun. ACM |volume=68 |issue=4 |pages=33–36 |arxiv=2405.12923 |doi=10.1145/3701534 |issn=0001-0782}}
- A Hands-On Introduction to Data Science (2020) – published by Cambridge University Press. {{ISBN|9781108839731}}{{cite book |last=Shah |first=Chirag |year=2020 |title=A Hands-On Introduction to Data Science |publisher=Cambridge University Press |location=Cambridge |isbn=978-1-108-56041-2 |doi=10.1017/9781108560412 |url=https://www.cambridge.org/core/books/hands-on-introduction-to-data-science/2BD7407A5033B91B301C163CD3168744 }}{{Cite web |date=February 2020 |title=A Hands-On Introduction to Data Science |url=https://www.researchgate.net/publication/338979634 |website=ResearchGate}}{{Cite web |last=Shah |first=Chirag |title=A Hands-On Introduction to Data Science |url=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}}
- Interactive IR User Study Design, Evaluation, and Reporting (2019) – published by Morgan & Claypool Publishers. ISBN 9781681735818{{Cite web |title=Interactive IR User Study Design, Evaluation, and Reporting |url=https://par.nsf.gov/servlets/purl/10099028 |website=par.nsf.gov}}
- Social Information Seeking: Leveraging the Wisdom of the Crowd (2017) – published by Springer. {{ISBN|9783319567556}}{{Cite web |date=2017-07-25 |title=Chirag Shah Publishes First Book of its Kind on Social Information Seeking |url=https://comminfo.rutgers.edu/news/chirag-shah-publishes-first-book-its-kind-social-information-seeking |access-date=2025-05-02 |website=School of Communication and Information {{!}} Rutgers University |language=en}}
- 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}}{{Cite book |last=Shah |first=Chirag |url=https://books.google.com/books?id=PErdoQEACAAJ |title=Collaborative Information Seeking: The Art and Science of Making the Whole Greater than the Sum of All |date=2014-08-09 |publisher=Springer Berlin Heidelberg |isbn=978-3-642-43899-8 |language=en}}
- Collaborative Information Seeking: The Art and Science of Making the Whole Greater than the Sum of All (2012) – published by Springer. {{ISBN|9783642288128}} {{Cite book |last=Shah |first=Chirag |url=https://books.google.com/books?id=YxlMuAAACAAJ |title=Collaborative Information Seeking: The Art and Science of Making the Whole Greater than the Sum of All |date=2012-07-04 |publisher=Springer Berlin Heidelberg |isbn=978-3-642-28812-8 |language=en}}
References
{{Authority control}}
External links
- {{Google Scholar ID|id=H4dLAw0AAAAJ}}
{{DEFAULTSORT:Shah, Chirag}}
Category:Year of birth missing (living people)
Category:American computer scientists
Category:University of Massachusetts Amherst College of Engineering alumni