research-article

Public Access

No Humans Here: Ethical Speculation on Public Data, Unintended Consequences, and the Limits of Institutional Review

Authors:

Michael ZimmerAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue GROUP

Article No.: 38, Pages 1 - 13

https://doi.org/10.1145/3492857

Published: 14 January 2022 Publication History

Abstract

Many research communities routinely conduct activities that fall outside the bounds of traditional human subjects research, yet still frequently rely on the determinations of institutional review boards (IRBs) or similar regulatory bodies to scope ethical decision-making. Presented as a U.S. university-based fictional memo describing a post-hoc IRB review of a research study about social media and public health, this design fiction draws inspiration from current debates and uncertainties in the HCI and social computing communities around issues such as the use of public data, privacy, open science, and unintended consequences, in order to highlight the limitations of regulatory bodies as arbiters of ethics and the importance of forward-thinking ethical considerations from researchers and research communities.

References

[1]

Nazanin Andalibi and Justin Buss. 2020. The Human in Emotion Recognition on Social Media: Attitudes, Outcomes, Risks. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI '20). Association for Computing Machinery, New York, NY, USA, 1--16. https://doi.org/10.1145/3313831.3376680

Digital Library

[2]

Nazanin Andalibi, Pinar Rzturk, and Andrea Forte. 2017. Sensitive Self-Disclosures, Responses, and Social Support on Instagram: The Case of #Depression. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (Portland, Oregon, USA) (CSCW '17). Association for Computing Machinery, New York, NY, USA, 1485--1500. https://doi.org/10.1145/2998181.2998243

Digital Library

[3]

Jyoti Angal, Julie M. Petersen, Deborah Tobacco, and Amy J. Elliott. 2016. Ethics review for a multi-site project involving tribal nations in the northern plains. Journal of Empirical Research on Human Research Ethics, Vol. 11, 2 (2016), 91--96.

[4]

Pernille Bjorn, Casey Fiesler, Michael Muller, Jessica Pater, and Pamela Wisniewski. 2018. Research Ethics Town Hall Meeting. In Proceedings of the 2018 ACM Conference on Supporting Groupwork (Sanibel Island, Florida, USA) (GROUP '18). Association for Computing Machinery, New York, NY, USA, 393--396. https://doi.org/10.1145/3148330.3154523

Digital Library

[5]

Mark Blythe. 2014. Research through Design Fiction: Narrative in Real and Imaginary Abstracts. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Toronto, Ontario, Canada) (CHI '14). Association for Computing Machinery, New York, NY, USA, 703--712. https://doi.org/10.1145/2556288.2557098

Digital Library

[6]

Urie Brofenbrenner. 1992. Ecological systems theory .Jessica Kingsley Publishers.

[7]

Amy Bruckman. 2020. 'Have You Thought About?': Talking about Ethical Implications of Research. Commun. ACM, Vol. 63, 9 (Aug. 2020), 38--40. https://doi.org/10.1145/3377405

Digital Library

[8]

Elizabeth Buchanan, John Aycock, Scott Dexter, David Dittrich, and Erin Hvizdak. 2011. Computer science security research and human subjects: Emerging considerations for research ethics boards. Journal of Empirical Research on Human Research Ethics, Vol. 6, 2 (2011), 71--83. https://doi.org/10.1525/jer.2011.6.2.71

[9]

Stevie Chancellor, Shion Guha, Jofish Kaye, Jen King, Niloufar Salehi, Sarita Schoenbeck, and Elizabeth Stowell. 2019. The Relationships between Data, Power, and Justice in CSCW Research. In Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing (Austin, TX, USA) (CSCW '19). Association for Computing Machinery, New York, NY, USA, 102--105. https://doi.org/10.1145/3311957.3358609

Digital Library

[10]

Lauren E. Charles-Smith, Tera L. Reynolds, Mark A. Cameron, Mike Conway, Eric HY Lau, Jennifer M. Olsen, and Julie A. Pavlin. 2015. Using social media for actionable disease surveillance and outbreak management: a systematic literature review. PloS one, Vol. 10, 10 (2015), e0139701. https://doi.org/10.1371/journal.pone.0139701

[11]

Monica Chin. 2021. How a University got Itself Banned from the Linux Kernel. (2021). https://www.theverge.com/2021/4/30/22410164/linux-kernel-university-of-minnesota-banned-open-source

[12]

Munmun De Choudhury, Scott Counts, and Eric Horvitz. 2013. Social Media as a Measurement Tool of Depression in Populations. In Proceedings of the 5th Annual ACM Web Science Conference (Paris, France) (WebSci '13). Association for Computing Machinery, New York, NY, USA, 47--56. https://doi.org/10.1145/2464464.2464480

Digital Library

[13]

Kerstin Denecke, Peter Dolog, and Pavel Smrz. 2012. Making Use of Social Media Data in Public Health. In Proceedings of the 21st International Conference on World Wide Web (Lyon, France) (WWW '12 Companion). Association for Computing Machinery, New York, NY, USA, 243--246. https://doi.org/10.1145/2187980.2188019

Digital Library

[14]

Brianna Dym and Casey Fiesler. 2020. Ethical and privacy considerations for research using online fandom data. Transformative Works and Cultures, Vol. 33 (2020).

[15]

Elisabeth S. Faller and Claudia Norman. 2015. Ethics & the IRB review process: A guide for SoTL researchers at UC . https://www.uc.edu/content/dam/uc/cetl/docs/IRB|%20for|&20SoTL.pdf

[16]

S. Fazeli, D. Zamanzadeh, A. Ovalle, T. Nguyen, and G. Gee adn M. Sarrafzadeh. 2021. COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations. arXiv preprint arXiv:2104.10807 (2021).

[17]

Casey Fiesler. 2019. Ethical Considerations for Research Involving (Speculative) Public Data. Proc. ACM Hum.-Comput. Interact., Vol. 3, GROUP, Article 249 (Dec. 2019), bibinfonumpages13 pages. https://doi.org/10.1145/3370271

Digital Library

[18]

Casey Fiesler. 2021. Innovating Like an Optimist, Preparing Like a Pessimist: Ethical Speculation and the Legal Imagination. Colorado Technology Law Journal, Vol. 19, 1 (2021).

[19]

Casey Fiesler and Nicholas Proferes. 2018. "Participant" perceptions of Twitter research ethics. Social Media

[20]

Society, Vol. 4, 1 (2018).

[21]

Casey Fiesler, Pamela Wisniewski, Jessica Pater, and Nazanin Andalibi. 2016. Exploring Ethics and Obligations for Studying Digital Communities. In Proceedings of the 19th International Conference on Supporting Group Work (Sanibel Island, Florida, USA) (GROUP '16). Association for Computing Machinery, New York, NY, USA, 457--460. https://doi.org/10.1145/2957276.2996293

Digital Library

[22]

Max Fleming, Priyanka Dondeti, Caitlin N. Dreisbach, and Adam Poliak. 2021. Fine-Tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets. arXiv preprint arXiv:2104.05501 (2021).

[23]

Centers for Disease Control and Prevention. 2015. The social-ecological model: A framework for prevention. (2015). https://www.cdc.gov/violenceprevention/about/social-ecologicalmodel.html

[24]

Centere for the Governance of AI. 2020. A Guide to Writing the NeurIPS Impact Statement. (2020). https://medium.com/@GovAI/a-guide-to-writing-the-neurips-impact-statement-4293b723f832

[25]

Eduard Fosch-Villaronga, A. Poulsen, Roger Andre Søraa, and B. H. M. Custers. 2021. A little bird told me your gender: Gender inferences in social media. Information Processing & Management, Vol. 58, 3 (2021), 102541. https://doi.org/10.1016/j.ipm.2021.102541

Digital Library

[26]

Phoebe Friesen, Rachel Douglas-Jones, Mason Marks, Robin Pierce, Katherine Fletcher, Abhishek Mishra, Jessica Lorimer, Carissa Véliz, Nina Hallowell, Mackenzie Graham, Mei Sum Chan, Huw Davies, and Taj Sallamuddin. 2021. Governing AI-Driven Health Research: Are IRBs Up to the Task? Ethics & human research, Vol. 43, 2 (2021), 35--42. https://doi.org/10.1002/eahr.500085

[27]

Venkata Rama Kiran Garimella, Abdulrahman Alfayad, and Ingar Weber. 2016. Social Media Image Analysis for Public Health. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI '16). Association for Computing Machinery, New York, NY, USA, 5543--5547. https://doi.org/10.1145/2858036.2858234

Digital Library

[28]

C. Kristina Gunsalus, Nicholas C. Burbules Edward M. Bruner, Leon Dash, Matthew Finkin, Joseph P. Goldberg, and William T. Greenough. 2007. The Illinois white paper: Improving the system for protecting human subjects: Counteracting IRB ?mission creep". Qualitative Inquiry, Vol. 13, 5 (2007), 617--649.

[29]

Gary Harrison and William L. Gannon. 2015. Victor Frankenstein's Institutional Review Board Proposal, 1790. Science and Engineering Ethics, Vol. 21, 5 (2015), 1139--1157. https://doi.org/10.1007/s11948-014--9588-y

[30]

Molly Havard and David Magnus. 2011. Beyond the IRB: Local Service Versus Global Oversight. The American Journal of BioEthics, Vol. 11, 5 (2011), 1--2. https://doi.org/10.1080/15265161.2011.576932

[31]

Brent Hecht. 2018. It's time to do something: Mitigating the negative impacts of computing through a change to the peer review process. (2018). https://acm-fca.org/2018/03/29/negativeimpacts/

[32]

Liaquat Hossain, D. Kam, F. Kong, R. T. Wigand, and Terence Bossomaier. 2016. Social media in Ebola outbreak. Epidemiology & Infection, Vol. 144, 10 (2016), 2136--2143.

[33]

Matthew Hutson. 2021. Who Should Stop Unethical A.I.? (2021). https://www.newyorker.com/tech/annals-of-technology/who-should-stop-unethical-ai

[34]

Michal Kosinski. 2021. Facial recognition technology can expose political orientation from naturalistic facial images. Scientific reports, Vol. 11, 1 (2021), 1--7. https://doi.org/10.1038/s41598-020--79310--1

[35]

Yubo Kou, Xinning Gui, Yunan Chen, and Kathleen Pine. 2017. Conspiracy Talk on Social Media: Collective Sensemaking during a Public Health Crisis. Proc. ACM Hum.-Comput. Interact., Vol. 1, CSCW, Article 61 (Dec. 2017), bibinfonumpages21 pages. https://doi.org/10.1145/3134696

Digital Library

[36]

Adam DI Kramer, Jamie E. Guillory, and Jeffrey T. Hancock. 2014. Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the National Academy of Sciences, Vol. 111, 24 (2014), 8788--8790. https://doi.org/10.1073/pnas.1320040111

[37]

Joseph Lindley and Paul Coulton. 2016. Pushing the Limits of Design Fiction: The Case For Fictional Research Papers. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI '16). Association for Computing Machinery, New York, NY, USA, 4032--4043. https://doi.org/10.1145/2858036.2858446

Digital Library

[38]

Cosmin Munteanu, Heather Molneaux, Wendy Moncur, Mario Romero, Susan O'Donnell, and John Vines. 2015. Situational Ethics: Re-Thinking Approaches to Formal Ethics Requirements for Human-Computer Interaction. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (Seoul, Republic of Korea) (CHI '15). Association for Computing Machinery, New York, NY, USA, 105--114. https://doi.org/10.1145/2702123.2702481

Digital Library

[39]

Jessica Pater, Oliver L. Haimson, Nazanin Andalibi, and Elizabeth D. Mynatt. 2016. "Hunger Hurts but Starving Works": Characterizing the Presentation of Eating Disorders Online. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (San Francisco, California, USA) (CSCW '16). Association for Computing Machinery, New York, NY, USA, 1185--1200. https://doi.org/10.1145/2818048.2820030

Digital Library

[40]

Jessica Pater, Alicia Nobles, Sarah Gilbert, Michael Zimmer, and Casey Fiesler. 2020. Data is People: New Challenges and Tensions in Social Media Research. In 14TH International Conference on Web and Social Media (ICWSM). AAAI.

[41]

EU: General Data Protection Regulation. 2021. Chapter 2, Article 6: Data Processing. (2021). https://gdpr-info.eu/art-6-gdpr/

[42]

Abeed Sarker, Sahithi Lakamana, Whitney Hogg-Bremer, Angel Xie, Mohammed Ali Al-Garadi, and Yuan-Chi Yang. 2020. Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource. Journal of the American Medical Informatics Association, Vol. 27, 8 (2020), 1310--1315.

[43]

Judy Shen and Frank Rudzicz. 2017. Detecting anxiety through reddit. In Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology-From Linguistic Signal to Clinical Reality. 58--65.

[44]

Katie Shilton, Emanuel Moss, Sarah A. Gilbert, Matthew J. Bietz, Casey Fiesler, Jacob Metcalf adn Jessica Vitak, and Michael Zimmer. 2021. Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research. Big Data & Society, Vol. 8, 2 (2021).

[45]

Kafuruki Shubis, Omar Juma, Rahiya Sharifu, Brandt Burgess, and Salim Abdulla. 2009. Challenges of establishing a Community Advisory Board (CAB) in a low-income, low-resource setting: experiences from Bagamoyo, Tanzania. Health Research Policy and Systems, Vol. 7, 1 (2009), 1--5.

[46]

Kyle Siler, Kirby Lee, and Lisa Bero. 2015. Measuring the effectiveness of scientific gatekeeping. Proceedings of the National Academy of Sciences, Vol. 112, 2 (2015), 360--365.

[47]

Ruba Skaik and Diana Inkpen. 2020. Using Social Media for Mental Health Surveillance: A Review. ACM Comput. Surv., Vol. 53, 6, Article 129 (Dec. 2020), bibinfonumpages31 pages. https://doi.org/10.1145/3422824

Digital Library

[48]

Robert Soden, Michael Skirpan, Casey Fiesler, Zahra Ashktorab, Eric P.S. Baumer, Mark Blythe, and Jasmine Jones. 2019. CHI4EVIL: Creative Speculation on the Negative Impacts of HCI Research. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI EA '19). Association for Computing Machinery, New York, NY, USA, 1--8. https://doi.org/10.1145/3290607.3299033

Digital Library

[49]

Eric P.S. Baumer Stevie Chancellor and Munmun De Choudhury. 2019. Who is the "Human" in Human-Centered Machine Learning: The Case of Predicting Mental Health from Social Media. Proc. ACM Hum.-Comput. Interact., Vol. 3, CSCW, Article 147 (Nov. 2019), bibinfonumpages32 pages. https://doi.org/10.1145/3359249

Digital Library

[50]

Harini Suresh and John V. Guttag. 2019. A framework for understanding unintended consequences of machine learning. arXiv preprint arXiv:1901.10002 (2019).

[51]

Maurizio Teli, Marcus Foth, Mariacristina Sciannamblo, Irina Anastasiu, and Peter Lyle. 2020. Tales of Institutioning and Commoning: Participatory Design Processes with a Strategic and Tactical Perspective. In Proceedings of the 16th Participatory Design Conference 2020 - Participation(s) Otherwise - Volume 1 (Manizales, Colombia) (PDC '20). Association for Computing Machinery, New York, NY, USA, 159--171. https://doi.org/10.1145/3385010.3385020

Digital Library

[52]

Maurizio Teli, Peter Lyle, and Mariacristina Sciannamblo. 2018. Institutioning the Common: The Case of Commonfare. In Proceedings of the 15th Participatory Design Conference: Full Papers - Volume 1 (Hasselt and Genk, Belgium) (PDC '18). Association for Computing Machinery, New York, NY, USA, Article 6, bibinfonumpages11 pages. https://doi.org/10.1145/3210586.3210590

Digital Library

[53]

Jessica Vitak, Nicholas Proferes adn Katie Shilton, and Zahra Ashktorab. 2017. Ethics regulation in social computing research: Examining the role of institutional review boards. Journal of Empirical Research on Human Research Ethics, Vol. 12, 5 (2017), 372--382. https://doi.org/10.1177/1556264617725200

[54]

Jessica Vitak, Katie Shilton, and Sahra Ashktorab. 2016. Beyond the Belmont Principles: Ethical Challenges, Practices, and Beliefs in the Online Data Research Community. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (San Francisco, California, USA) (CSCW '16). Association for Computing Machinery, New York, NY, USA, 941--953. https://doi.org/10.1145/2818048.2820078

Digital Library

[55]

Chat Wacharamanotham, Lukas Eisenring, Steve Haroz, and Florian Echtler. 2020. Transparency of CHI Research Artifacts: Results of a Self-Reported Survey. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI '20). Association for Computing Machinery, New York, NY, USA, 1--14. https://doi.org/10.1145/3313831.3376448

Digital Library

[56]

Richard Y. Wong, Ellen Van Wyk, and James Pierce. 2017. Real-Fictional Entanglements: Using Science Fiction and Design Fiction to Interrogate Sensing Technologies. In Proceedings of the 2017 Conference on Designing Interactive Systems (Edinburgh, United Kingdom) (DIS '17). Association for Computing Machinery, New York, NY, USA, 567--579. https://doi.org/10.1145/3064663.3064682

Digital Library

[57]

Michael Zimmer. 2010. "But the data is already public": on the ethics of research in Facebook. Ethics and information technology, Vol. 12, 4 (2010), 313--325. https://doi.org/10.100z.252Fs10676-010--9227--5

[58]

Michael Zimmer. 2016. OkCupid Study Reveals the Perils of Big-Data Science. (2016). https://www.wired.com/2016/05/okcupid-study-reveals-perils-big-data-science/

[59]

Michael Zimmer. 2021. The Zuckerberg Files. (2021). https://zuckerbergfiles.org/

Cited By

Throne RHendon MKozinski J(2024)Graduate Student InvestigatorIRB, Human Research Protections, and Data Ethics for Researchers10.4018/979-8-3693-3848-3.ch012(289-308)Online publication date: 15-Nov-2024
https://doi.org/10.4018/979-8-3693-3848-3.ch012
Throne R(2024)Data Ethics Policy Trends for Human Subjects Protections in the Era of the AI Bill of RightsIRB, Human Research Protections, and Data Ethics for Researchers10.4018/979-8-3693-3848-3.ch009(227-244)Online publication date: 15-Nov-2024
https://doi.org/10.4018/979-8-3693-3848-3.ch009
Alizadeh FLawo DStevens GZytko DEslami M(2024)When the "Matchmaker" Does Not Have Your Interest at Heart: Perceived Algorithmic Harms, Folk Theories, and Users' Counter-Strategies on TinderProceedings of the ACM on Human-Computer Interaction10.1145/36897108:CSCW2(1-29)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3689710
Show More Cited By

Index Terms

No Humans Here: Ethical Speculation on Public Data, Unintended Consequences, and the Limits of Institutional Review
1. Social and professional topics
  1. Professional topics
    1. Computing profession
      1. Codes of ethics

Recommendations

Advancing the ethical use of digital data in human research: challenges and strategies to promote ethical practice

The proliferation of digital data and internet-based research technologies is transforming the research landscape, and researchers and research ethics communities are struggling to respond to the ethical issues being raised. This paper discusses the ...
It's the Wild, Wild West: Lessons Learned From IRB Members' Risk Perceptions Toward Digital Research Data
CSCW

Digital technology that is prevalent in people's everyday lives, including smart home devices, mobile apps and social media, increasingly lack regulations for how the user data can be collected, used or disseminated. The CSCW and the larger computing ...
Anti-Solutionist Strategies: Seriously Silly Design Fiction
CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Much of the academic and commercial work which seeks to innovate around technology has been dismissed as "solutionist" because it solves problems that don't exist or ignores the complexity of personal, political and environmental issues. This paper ...

Comments

Information & Contributors

Information

Published In

cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 6, Issue GROUP

GROUP

January 2022

992 pages

EISSN:2573-0142

DOI:10.1145/3511803

Editor:
Jeff Nichols
Apple Inc., United States

Issue’s Table of Contents

Copyright © 2022 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 January 2022

Published in PACMHCI Volume 6, Issue GROUP

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Badges

Honorable Mention

Author Tags

Qualifiers

Research-article

Funding Sources

National Science Foundation

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

16
Total Citations
View Citations
1,097
Total Downloads

Downloads (Last 12 months)471
Downloads (Last 6 weeks)55

Reflects downloads up to 12 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Throne RHendon MKozinski J(2024)Graduate Student InvestigatorIRB, Human Research Protections, and Data Ethics for Researchers10.4018/979-8-3693-3848-3.ch012(289-308)Online publication date: 15-Nov-2024
https://doi.org/10.4018/979-8-3693-3848-3.ch012
Throne R(2024)Data Ethics Policy Trends for Human Subjects Protections in the Era of the AI Bill of RightsIRB, Human Research Protections, and Data Ethics for Researchers10.4018/979-8-3693-3848-3.ch009(227-244)Online publication date: 15-Nov-2024
https://doi.org/10.4018/979-8-3693-3848-3.ch009
Alizadeh FLawo DStevens GZytko DEslami M(2024)When the "Matchmaker" Does Not Have Your Interest at Heart: Perceived Algorithmic Harms, Folk Theories, and Users' Counter-Strategies on TinderProceedings of the ACM on Human-Computer Interaction10.1145/36897108:CSCW2(1-29)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3689710
Cha IPillai AWong R(2024)Ethics Pathways: A Design Activity for Reflecting on Ethics Engagement in HCI ResearchProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660714(3515-3533)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660714
Su ZKamath STirakitsoontorn PChen Y(2024)The Hidden Burden: Encountering and Managing (Unintended) Stigma in Children with Serious IllnessesProceedings of the ACM on Human-Computer Interaction10.1145/36410218:CSCW1(1-35)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641021
Bellini RTseng EWarford NDaffalla AMatthews TConsolvo SWoelfer JGage Kelley PMazurek MCuomo DDell NRistenpart T(2024)SoK: Safer Digital-Safety Research Involving At-Risk Users2024 IEEE Symposium on Security and Privacy (SP)10.1109/SP54263.2024.00071(635-654)Online publication date: 19-May-2024
https://doi.org/10.1109/SP54263.2024.00071
Knight SShibani AVincent N(2024)Ethical AI governance: mapping a research ecosystemAI and Ethics10.1007/s43681-023-00416-zOnline publication date: 14-Feb-2024
https://doi.org/10.1007/s43681-023-00416-z
Lookingbill VWagner T(2024)The role of information and communication technologies in disclosing and reporting sexual assault among young adults: A systematic reviewJournal of the Association for Information Science and Technology10.1002/asi.24941Online publication date: 23-Jul-2024
https://doi.org/10.1002/asi.24941
Throne RHendon MKozinski J(2023)Graduate Student InvestigatorDynamic Curriculum Development and Design Strategies for Effective Online Learning in Higher Education10.4018/978-1-6684-8646-7.ch001(1-15)Online publication date: 28-Sep-2023
https://doi.org/10.4018/978-1-6684-8646-7.ch001
Wilcox LBrewer RDiaz F(2023)AI Consent Futures: A Case Study on Voice Data Collection with CliniciansProceedings of the ACM on Human-Computer Interaction10.1145/36101077:CSCW2(1-30)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610107
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

Media

Figures

Other

Tables

View Issue’s Table of Contents