{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T21:48:53Z","timestamp":1776116933287,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":70,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,2]],"date-time":"2024-05-02T00:00:00Z","timestamp":1714608000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-2107391"],"award-info":[{"award-number":["IIS-2107391"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,2]]},"DOI":"10.1145\/3613905.3651100","type":"proceedings-article","created":{"date-parts":[[2024,5,11]],"date-time":"2024-05-11T08:15:21Z","timestamp":1715415321000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Schr\u00f6dinger's Update: User Perceptions of Uncertainties in Proprietary Large Language Model Updates"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7259-9353","authenticated-orcid":false,"given":"Zilin","family":"Ma","sequence":"first","affiliation":[{"name":"Harvard University, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2923-0729","authenticated-orcid":false,"given":"Yiyang","family":"Mei","sequence":"additional","affiliation":[{"name":"Law School, Emory University, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1897-9048","authenticated-orcid":false,"given":"Krzysztof Z.","family":"Gajos","sequence":"additional","affiliation":[{"name":"School of Engineering and Applied Sciences, Harvard University, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8910-0822","authenticated-orcid":false,"given":"Ian","family":"Arawjo","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Montr\u00e9al, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,5,11]]},"reference":[{"key":"e_1_3_3_3_2_1","unstructured":"SoftBank\u00a0Ventures Asia. 2023. OpenAI Sam Altman & Greg Brockman: Fireside Chat in Seoul Korea | SoftBank Ventures Asia. YouTube. https:\/\/www.youtube.com\/watch?v=_hpuPi7YZX8 OpenAI and SoftBank Ventures Asia co-hosted a fireside chat with Sam Altman OpenAI\u2019s Co-founder\/CEO and Greg Brockman Co-founder\/President of OpenAI in Seoul Korea on June 09 2023. Moderated by JP Lee CEO of SoftBank Ventures Asia and Kyunghyun Cho a professor at NYU. Sponsored by the Ministry of SMEs and Startups of the Republic of Korea. Accessed on September 27 2023."},{"key":"e_1_3_3_3_3_1","unstructured":"AuthorName. 2015. Microsoft accused of adding spy features to Windows 7 8. https:\/\/arstechnica.com\/information-technology\/2015\/08\/microsoft-accused-of-adding-spy-features-to-windows-7-8\/ Accessed: yyyy-mm-dd."},{"key":"e_1_3_3_3_4_1","volume-title":"Advances in Neural Information Processing Systems, S.\u00a0Koyejo, S.\u00a0Mohamed, A.\u00a0Agarwal, D.\u00a0Belgrave, K.\u00a0Cho, and A.\u00a0Oh (Eds.). Vol.\u00a035. Curran Associates","author":"Bakker Michiel","year":"2022","unstructured":"Michiel Bakker, Martin Chadwick, Hannah Sheahan, Michael Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt Botvinick, and Christopher Summerfield. 2022. Fine-tuning language models to find agreement among humans with diverse preferences. In Advances in Neural Information Processing Systems, S.\u00a0Koyejo, S.\u00a0Mohamed, A.\u00a0Agarwal, D.\u00a0Belgrave, K.\u00a0Cho, and A.\u00a0Oh (Eds.). Vol.\u00a035. Curran Associates, Inc., 38176\u201338189. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2022\/file\/f978c8f3b5f399cae464e85f72e28503-Paper-Conference.pdf"},{"key":"e_1_3_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445922"},{"key":"e_1_3_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2382196.2382284"},{"key":"e_1_3_3_3_7_1","unstructured":"Rishi Bommasani Drew\u00a0A. Hudson Ehsan Adeli Russ Altman Simran Arora Sydney von Arx Michael\u00a0S. Bernstein Jeannette Bohg Antoine Bosselut Emma Brunskill Erik Brynjolfsson Shyamal Buch Dallas Card Rodrigo Castellon Niladri Chatterji Annie Chen Kathleen Creel Jared\u00a0Quincy Davis Dora Demszky Chris Donahue Moussa Doumbouya Esin Durmus Stefano Ermon John Etchemendy Kawin Ethayarajh Li Fei-Fei Chelsea Finn Trevor Gale Lauren Gillespie Karan Goel Noah Goodman Shelby Grossman Neel Guha Tatsunori Hashimoto Peter Henderson John Hewitt Daniel\u00a0E. Ho Jenny Hong Kyle Hsu Jing Huang Thomas Icard Saahil Jain Dan Jurafsky Pratyusha Kalluri Siddharth Karamcheti Geoff Keeling Fereshte Khani Omar Khattab Pang\u00a0Wei Koh Mark Krass Ranjay Krishna Rohith Kuditipudi Ananya Kumar Faisal Ladhak Mina Lee Tony Lee Jure Leskovec Isabelle Levent Xiang\u00a0Lisa Li Xuechen Li Tengyu Ma Ali Malik Christopher\u00a0D. Manning Suvir Mirchandani Eric Mitchell Zanele Munyikwa Suraj Nair Avanika Narayan Deepak Narayanan Ben Newman Allen Nie Juan\u00a0Carlos Niebles Hamed Nilforoshan Julian Nyarko Giray Ogut Laurel Orr Isabel Papadimitriou Joon\u00a0Sung Park Chris Piech Eva Portelance Christopher Potts Aditi Raghunathan Rob Reich Hongyu Ren Frieda Rong Yusuf Roohani Camilo Ruiz Jack Ryan Christopher R\u00e9 Dorsa Sadigh Shiori Sagawa Keshav Santhanam Andy Shih Krishnan Srinivasan Alex Tamkin Rohan Taori Armin\u00a0W. Thomas Florian Tram\u00e8r Rose\u00a0E. Wang William Wang Bohan Wu Jiajun Wu Yuhuai Wu Sang\u00a0Michael Xie Michihiro Yasunaga Jiaxuan You Matei Zaharia Michael Zhang Tianyi Zhang Xikun Zhang Yuhui Zhang Lucia Zheng Kaitlyn Zhou and Percy Liang. 2022. On the Opportunities and Risks of Foundation Models. http:\/\/arxiv.org\/abs\/2108.07258 arXiv:2108.07258 [cs]."},{"key":"e_1_3_3_3_8_1","volume-title":"Sparks of Artificial General Intelligence: Early experiments with GPT-4. (March","author":"Bubeck S\u00e9bastien","year":"2023","unstructured":"S\u00e9bastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin\u00a0Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco\u00a0Tulio Ribeiro, and Yi Zhang. 2023. Sparks of Artificial General Intelligence: Early experiments with GPT-4. (March 2023). https:\/\/www.microsoft.com\/en-us\/research\/publication\/sparks-of-artificial-general-intelligence-early-experiments-with-gpt-4\/"},{"key":"e_1_3_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3449287"},{"key":"e_1_3_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/0260-6917(91)90009-Y"},{"key":"e_1_3_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581754.3584111"},{"key":"e_1_3_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2307.09009"},{"key":"e_1_3_3_3_13_1","doi-asserted-by":"publisher","unstructured":"Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Ponde de\u00a0Oliveira Pinto Jared Kaplan Harri Edwards Yuri Burda Nicholas Joseph Greg Brockman Alex Ray Raul Puri Gretchen Krueger Michael Petrov Heidy Khlaaf Girish Sastry Pamela Mishkin Brooke Chan Scott Gray Nick Ryder Mikhail Pavlov Alethea Power Lukasz Kaiser Mohammad Bavarian Clemens Winter Philippe Tillet Felipe\u00a0Petroski Such Dave Cummings Matthias Plappert Fotios Chantzis Elizabeth Barnes Ariel Herbert-Voss William\u00a0Hebgen Guss Alex Nichol Alex Paino Nikolas Tezak Jie Tang Igor Babuschkin Suchir Balaji Shantanu Jain William Saunders Christopher Hesse Andrew\u00a0N. Carr Jan Leike Josh Achiam Vedant Misra Evan Morikawa Alec Radford Matthew Knight Miles Brundage Mira Murati Katie Mayer Peter Welinder Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever and Wojciech Zaremba. 2021. Evaluating Large Language Models Trained on Code. (2021). https:\/\/doi.org\/10.48550\/ARXIV.2107.03374 Publisher: arXiv Version Number: 2.","DOI":"10.48550\/ARXIV.2107.03374"},{"key":"e_1_3_3_3_14_1","doi-asserted-by":"crossref","unstructured":"Sanyuan Chen Yutai Hou Yiming Cui Wanxiang Che Ting Liu and Xiangzhan Yu. 2020. Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting. In Conference on Empirical Methods in Natural Language Processing. https:\/\/api.semanticscholar.org\/CorpusID:216553067","DOI":"10.18653\/v1\/2020.emnlp-main.634"},{"key":"e_1_3_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSM.2005.90"},{"key":"e_1_3_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1869459.1869530"},{"key":"e_1_3_3_3_17_1","unstructured":"Enterprise Apps Today. 2024. OpenAI Statistics 2024 By Revenue and Growth. https:\/\/www.enterpriseappstoday.com\/stats\/openai-statistics.html"},{"key":"e_1_3_3_3_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2015.04.075"},{"key":"e_1_3_3_3_19_1","unstructured":"Fortune. 2023. Microsoft investing $10 billion in OpenAI. https:\/\/fortune.com\/2023\/01\/23\/microsoft-investing-10-billion-open-ai-chatgpt\/"},{"key":"e_1_3_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3458723"},{"key":"e_1_3_3_3_21_1","volume-title":"GPT-4 Ups the Ante in the AI Arms Race: OpenAI\u2019s latest LLM is wildly more capable\u2014and still sometimes a loose cannon","author":"Gent Edd","year":"2023","unstructured":"Edd Gent. 2023. GPT-4 Ups the Ante in the AI Arms Race: OpenAI\u2019s latest LLM is wildly more capable\u2014and still sometimes a loose cannon. IEEE Spectrum (18 March 2023). https:\/\/spectrum.ieee.org\/gpt-4"},{"key":"e_1_3_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580782"},{"key":"e_1_3_3_3_23_1","volume-title":"Announcing Foundation Models in Azure Machine Learning. https:\/\/techcommunity.microsoft.com\/t5\/ai-machine-learning-blog\/announcing-foundation-models-in-azure-machine-learning\/ba-p\/3827481 Accessed","author":"Gharse Swati","year":"2023","unstructured":"Swati Gharse. 2023. Announcing Foundation Models in Azure Machine Learning. https:\/\/techcommunity.microsoft.com\/t5\/ai-machine-learning-blog\/announcing-foundation-models-in-azure-machine-learning\/ba-p\/3827481 Accessed: 05 October 2023."},{"key":"e_1_3_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1159913.1159961"},{"key":"e_1_3_3_3_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.408"},{"key":"e_1_3_3_3_26_1","unstructured":"Google. 2023. Update Google Chrome. https:\/\/support.google.com\/chrome\/answer\/95414?hl=en&co=GENIE.Platform%3DDesktop Accessed: 2023-09-27."},{"key":"e_1_3_3_3_27_1","doi-asserted-by":"publisher","unstructured":"Kai Greshake Sahar Abdelnabi Shailesh Mishra Christoph Endres Thorsten Holz and Mario Fritz. 2023. Not what you\u2019ve signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection. (2023). https:\/\/doi.org\/10.48550\/ARXIV.2302.12173 Publisher: arXiv Version Number: 2.","DOI":"10.48550\/ARXIV.2302.12173"},{"key":"e_1_3_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2017.01.014"},{"key":"e_1_3_3_3_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-023-10179-8"},{"key":"e_1_3_3_3_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/MILCOM.2012.6415869"},{"key":"e_1_3_3_3_31_1","volume-title":"Advances in Neural Information Processing Systems, S.\u00a0Koyejo, S.\u00a0Mohamed, A.\u00a0Agarwal, D.\u00a0Belgrave, K.\u00a0Cho, and A.\u00a0Oh (Eds.). Vol.\u00a035. Curran Associates","author":"Korbak Tomasz","year":"2022","unstructured":"Tomasz Korbak, Hady Elsahar, Germ\u00e1n Kruszewski, and Marc Dymetman. 2022. On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting. In Advances in Neural Information Processing Systems, S.\u00a0Koyejo, S.\u00a0Mohamed, A.\u00a0Agarwal, D.\u00a0Belgrave, K.\u00a0Cho, and A.\u00a0Oh (Eds.). Vol.\u00a035. Curran Associates, Inc., 16203\u201316220. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2022\/file\/67496dfa96afddab795530cc7c69b57a-Paper-Conference.pdf"},{"key":"e_1_3_3_3_32_1","doi-asserted-by":"publisher","DOI":"10.3390\/math11102320"},{"key":"e_1_3_3_3_33_1","unstructured":"Woody Leonhard. 2017. The case against Windows Automatic Update. https:\/\/www.computerworld.com\/article\/3213929\/the-case-against-windows-automatic-update.html Accessed: 2023-09-27."},{"key":"e_1_3_3_3_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3196398.3196419"},{"key":"e_1_3_3_3_35_1","volume-title":"Holistic Evaluation of Language Models. Transactions on Machine Learning Research","author":"Liang Percy","year":"2023","unstructured":"Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian\u00a0Alexander Cosgrove, Christopher\u00a0D Manning, Christopher Re, Diana Acosta-Navas, Drew\u00a0Arad Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue WANG, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri\u00a0S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan\u00a0Andrew Chi, Sang\u00a0Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, and Yuta Koreeda. 2023. Holistic Evaluation of Language Models. Transactions on Machine Learning Research (2023). https:\/\/openreview.net\/forum?id=iO4LZibEqW Featured Certification, Expert Certification."},{"key":"e_1_3_3_3_36_1","doi-asserted-by":"publisher","unstructured":"Zilin Ma Yiyang Mei and Zhaoyuan Su. 2023. Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support. (2023). https:\/\/doi.org\/10.48550\/ARXIV.2307.15810 Publisher: arXiv Version Number: 1.","DOI":"10.48550\/ARXIV.2307.15810"},{"key":"e_1_3_3_3_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CRISIS.2012.6378954"},{"key":"e_1_3_3_3_38_1","unstructured":"MarketSplash. 2024. 100+ OpenAI Statistics: Growth Impact & Future Trends In AI. https:\/\/marketsplash.com\/openai-statistics\/"},{"key":"e_1_3_3_3_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSM.2013.18"},{"key":"e_1_3_3_3_40_1","unstructured":"Merriam-Webster. 2023. Definition of foundation. https:\/\/www.merriam-webster.com\/dictionary\/foundation Accessed: Oct-7-2023."},{"key":"e_1_3_3_3_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287596"},{"key":"e_1_3_3_3_43_1","unstructured":"Mozilla. 2023. Enable background updates on Firefox for Windows when Firefox is not running. https:\/\/support.mozilla.org\/en-US\/kb\/enable-background-updates-firefox-windows Accessed: 2023-09-27."},{"key":"e_1_3_3_3_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2015.48"},{"key":"e_1_3_3_3_45_1","unstructured":"Natalie. 2023. ChatGPT \u2014 Release Notes. https:\/\/help.openai.com\/en\/articles\/6825453-chatgpt-release-notes Accessed: 09\/27\/2023."},{"key":"e_1_3_3_3_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/MDM.2019.00118"},{"key":"e_1_3_3_3_47_1","volume-title":"AIED Workshops.","author":"Nye B","year":"2023","unstructured":"B Nye, Dillon Mee, and Mark\u00a0G Core. 2023. Generative large language models for dialog-based tutoring: An early consideration of opportunities and concerns. In AIED Workshops."},{"key":"e_1_3_3_3_48_1","unstructured":"OpenAI. 2023. Code completion: Deprecated. https:\/\/platform.openai.com\/docs\/guides\/code The Codex model series is a descendant of our GPT-3 series that\u2019s been trained on both natural language and billions of lines of code.."},{"key":"e_1_3_3_3_49_1","volume-title":"Evals: A Framework for Evaluating LLMs and LLM Systems. https:\/\/github.com\/openai\/evals Open-source registry of benchmarks.","author":"AI.","year":"2023","unstructured":"OpenAI. 2023. Evals: A Framework for Evaluating LLMs and LLM Systems. https:\/\/github.com\/openai\/evals Open-source registry of benchmarks."},{"key":"e_1_3_3_3_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/2335356.2335364"},{"key":"e_1_3_3_3_52_1","volume-title":"Apple to Start Paying Out $500M in iPhone Slowdown Lawsuit. CNET (19","author":"Reichert Corinne","year":"2023","unstructured":"Corinne Reichert. 2023. Apple to Start Paying Out $500M in iPhone Slowdown Lawsuit. CNET (19 Aug 2023). https:\/\/www.cnet.com\/tech\/mobile\/apple-to-start-paying-out-500m-in-iphone-slowdown-lawsuit\/ Accessed: 2023-09-27."},{"key":"e_1_3_3_3_53_1","volume-title":"12th USENIX Security Symposium (USENIX Security 03)","author":"Rescorla Eric","year":"2003","unstructured":"Eric Rescorla. 2003. Security Holes... Who Cares?. In 12th USENIX Security Symposium (USENIX Security 03). USENIX Association, Washington, D.C.https:\/\/www.usenix.org\/conference\/12th-usenix-security-symposium\/security-holes-who-cares"},{"key":"e_1_3_3_3_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/2393596.2393662"},{"key":"e_1_3_3_3_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"e_1_3_3_3_56_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0048-x"},{"key":"e_1_3_3_3_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/MS.2006.91"},{"key":"e_1_3_3_3_58_1","unstructured":"Xinyue Shen Zeyuan Chen Michael Backes Yun Shen and Yang Zhang. 2023. \"Do Anything Now\": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models. http:\/\/arxiv.org\/abs\/2308.03825 arXiv:2308.03825 [cs]."},{"key":"e_1_3_3_3_59_1","volume-title":"Date of Publication. How AI Fails Us. https:\/\/ethics.harvard.edu\/how-ai-fails-us Accessed: September 10th","author":"Siddarth Divya","year":"2023","unstructured":"Divya Siddarth, Daron Acemoglu, Danielle Allen, Kate Crawford, James Evans, Michael Jordan, and E.\u00a0Glen Weyl. Date of Publication. How AI Fails Us. https:\/\/ethics.harvard.edu\/how-ai-fails-us Accessed: September 10th, 2023."},{"key":"e_1_3_3_3_60_1","doi-asserted-by":"publisher","DOI":"10.1177\/00027649921955326"},{"key":"e_1_3_3_3_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/192844.193021"},{"key":"e_1_3_3_3_62_1","unstructured":"Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux Timoth\u00e9e Lacroix Baptiste Rozi\u00e8re Naman Goyal Eric Hambro Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave and Guillaume Lample. 2023. LLaMA: Open and Efficient Foundation Language Models. arxiv:2302.13971\u00a0[cs.CL]"},{"key":"e_1_3_3_3_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACSOS49614.2020.00022"},{"key":"e_1_3_3_3_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858303"},{"key":"e_1_3_3_3_65_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557275"},{"key":"e_1_3_3_3_66_1","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295349"},{"key":"e_1_3_3_3_67_1","volume-title":"An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers. ArXiv abs\/2107.13115","author":"Wang Lu","year":"2021","unstructured":"Lu Wang, Munif\u00a0Ishad Mujib, Jake Williams, George Demiris, and Jina Huh-Yoo. 2021. An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers. ArXiv abs\/2107.13115 (2021). https:\/\/api.semanticscholar.org\/CorpusID:236469205"},{"key":"e_1_3_3_3_68_1","volume-title":"Out of the Loop: How Automated Software Updates Cause Unintended Security Consequences. In 10th Symposium On Usable Privacy and Security (SOUPS 2014","author":"Wash Rick","year":"2014","unstructured":"Rick Wash, Emilee Rader, Kami Vaniea, and Michelle Rizor. 2014. Out of the Loop: How Automated Software Updates Cause Unintended Security Consequences. In 10th Symposium On Usable Privacy and Security (SOUPS 2014). USENIX Association, Menlo Park, CA, 89\u2013104. https:\/\/www.usenix.org\/conference\/soups2014\/proceedings\/presentation\/wash"},{"key":"e_1_3_3_3_69_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE.2009.32"},{"key":"e_1_3_3_3_70_1","doi-asserted-by":"publisher","DOI":"10.1109\/ETFA.2009.5347022"},{"key":"e_1_3_3_3_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/1952383.1952384"},{"key":"e_1_3_3_3_72_1","volume-title":"Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges. In Natural Language Processing and Chinese Computing, Jie Tang, Min-Yen Kan","author":"Xu Feiyu","year":"2019","unstructured":"Feiyu Xu, Hans Uszkoreit, Yangzhou Du, Wei Fan, Dongyan Zhao, and Jun Zhu. 2019. Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges. In Natural Language Processing and Chinese Computing, Jie Tang, Min-Yen Kan, Dongyan Zhao, Sujian Li, and Hongying Zan (Eds.). Springer International Publishing, Cham, 563\u2013574."},{"key":"e_1_3_3_3_73_1","volume-title":"\u201cUpdate Later\u201d: Persuading Users They Need Up-to-Date Antivirus Protection","author":"Zhang-Kennedy Leah","unstructured":"Leah Zhang-Kennedy, Sonia Chiasson, and Robert Biddle. 2014. Stop Clicking on \u201cUpdate Later\u201d: Persuading Users They Need Up-to-Date Antivirus Protection. In Persuasive Technology, Anna Spagnolli, Luca Chittaro, and Luciano Gamberini (Eds.). Springer International Publishing, Cham, 302\u2013322."}],"event":{"name":"CHI '24: CHI Conference on Human Factors in Computing Systems","location":"Honolulu HI USA","acronym":"CHI '24","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGACCESS ACM Special Interest Group on Accessible Computing"]},"container-title":["Extended Abstracts of the CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3613905.3651100","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3613905.3651100","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T23:57:10Z","timestamp":1750291030000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3613905.3651100"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,2]]},"references-count":70,"alternative-id":["10.1145\/3613905.3651100","10.1145\/3613905"],"URL":"https:\/\/doi.org\/10.1145\/3613905.3651100","relation":{},"subject":[],"published":{"date-parts":[[2024,5,2]]},"assertion":[{"value":"2024-05-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}