research-article

Jill Watson Doesn't Care if You're Pregnant: Grounding AI Ethics in Empirical Studies

Authors:

Lalith Polepeddi,

Ashok GoelAuthors Info & Claims

AIES '18: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

Pages 88 - 94

https://doi.org/10.1145/3278721.3278760

Published: 27 December 2018 Publication History

Abstract

Jill Watson is our name for a virtual teaching assistant for a Georgia Tech course on artificial intelligence: Jill answers routine, frequently asked questions on the class discussion forum. In this paper, we outline some of the ethical issues that arose in the development and deployment of the virtual teaching assistant. We posit that experiments such as Jill Watson are critical for deeply understanding AI ethics.

References

[1]

Simon Baron-Cohen, Sally Wheelwright, Jacqueline Hill, Yogini Raste, and Ian Plumb. 2001. The ?Reading the Mind in the Eyes" Test Revised Version: A Study with Normal Adults, and Adults with Asperger Syndrome or High-functioning Autism. Journal of Child Psychology and Psychiatry, Vol. 42, 2 (2001), 241--251.

[2]

Douglas Belkin. 2013. College Offers Online Master's Degree for $6,000. https://www.wsj.com/articles/SB10001424127887324031404578483670125295836 Accessed: 2017--11--14.

[3]

Bobbie Eicher, Kathryn Cunningham, Sydni Peterson Marissa Gonzales, and Ashok Goel. 2017. Toward Mutual Theory of Mind as a Foundation for Co-Creation. Presented to the International Conference on Computational Creativity, Co-Creation Workshop, June 2017.

[4]

David Engel, Anita Williams Woolley, Lisa X. Jing, Christopher F. Chabris, and Thomas W. Malone. 2014. Reading the Mind in the Eyes or Reading between the Lines? Theory of Mind Predicts Collective Intelligence Equally Well Online and Face-To-Face. PLoS ONE, Vol. 9, 12 (2014), 1 -- 16. http://prx.library.gatech.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=100187217&site=ehost-live

[5]

Orin Etzioni. 2017. How to Regulate Artificial Intelligence. https://www.nytimes.com/2017/09/01/opinion/artificial-intelligence-regulations-rules.html . Accessed: 2017--10--15.

[6]

Georgia Tech 2017. The Numbers. https://www.omscs.gatech.edu/prospective-students/numbers. Accessed: 2017-10-27.

[7]

Jim Giles. 2012. Why Google will soon answer your questions directly. https://www.newscientist.com/article/mg21428676--400-why-google-will-soon-answer-your-questions-directly/. Accessed: 2017--10--29.

[8]

Ashok Goel and David Joyner. 2016. An Experiment in Teaching Artificial Intelligence Online. Journal for Scholarship of Technology-Enhanced Learning, Vol. 1, 1 (2016).

[9]

Ashok Goel and David Joyner. 2017. Using AI to Teach AI . AI Magazine, Vol. 38, 2 (2017).

[10]

Ashok Goel and Lalith Polepeddi. 2017. Jill Watson: A Virtual Teaching Assisant for Online Education. Presented to the Learning Engineering for Online Learning Workshop, Harvard University, June 2017. To appear as a chapter in Dede, C., Richards, J., & Saxberg, B., Editors (in preparation), Education at scale: Engineering online teaching and learning. NY: Routledge.

[11]

Judy Goldsmith and Emanuelle Burton. 2017. Why Teaching Ethics to AI Practitioners Is Important. https://aaai.org/ocs/index.php/WS/AAAIW17/paper/view/15210/14652

Digital Library

[12]

Joshua Goodman, Julia Melkers, and Amanda Pallais. 2016. Can Online Delivery Increase Access to Education? Technical Report. Harvard University.

[13]

Jason Maderer. 2016. Artificial Intelligence Course Creates AI Teaching Assistant. http://www.news.gatech.edu/2016/05/09/artificial-intelligence-course-creates-ai-teaching-assistant Accessed: 2017--11--15.

[14]

John Markoff. 2017. Automated Pro-Trump Bots Overwhelmed Pro-Clinton Messages, Researchers Say. https://www.nytimes.com/2016/11/18/technology/automated-pro-trump-bots-overwhelmed-pro-clinton-messages-researchers-say.html . Accessed: 2017--11--14.

[15]

Paul Miller. 2016. Professor Pranksman fools his students with a TA powered by IBM's Watson . https://www.theverge.com/2016/5/6/11612520/ta-powered-by-ibm-watson . (Accessed 2017--10--27).

[16]

Clifford Nass and Youngme Moon. 2000. Machines and Mindlessness: Social Responses to Computers. Journal of Social Issues, Vol. 56, 1 (2000), 81--103.

[17]

Linda J Sax. {n. d.}. Cracking the Code: Making the CS Degree Accessible for All Students. http://womenintech.ucla.edu/articles/cracking-code-making-cs-degree-accessible-all-students

[18]

Marisa Schultz. 2017. Twitter uncovered more than 200 Russia-linked bots. http://nypost.com/2017/09/28/twitter-uncovered-more-than-200-russia-linked-bots/. Accessed: 2017--10--29.

[19]

Herbert A. Simon. 1995. Artificial intelligence: an empirical science. Artificial Intelligence, Vol. 77, 1 (1995), 95--127.

Digital Library

[20]

Joy Teague. 2002. Women in computing: what brings them to it, what keeps them in it? ACM SIGCSE Bulletin, Vol. 34, 2 (June 2002), 147--158.

Digital Library

Cited By

Kakhki MOguz AGendron M(2024)Exploring the Affordances of Chatbots in Higher Education: A Framework for Understanding and Utilizing ChatGPTJournal of Information Systems Education10.62273/UIRX992235:3(284-302)Online publication date: 2024
https://doi.org/10.62273/UIRX9922
Renz AGalla N(2024)KI in der BildungDigitale Lerntechnologien10.14361/9783839468937-009(131-160)Online publication date: 2-Apr-2024
https://doi.org/10.14361/9783839468937-009
Taneja KMaiti PKakar SGuruprasad PRao SGoel A(2024)Jill Watson: A Virtual Teaching Assistant Powered by ChatGPTArtificial Intelligence in Education10.1007/978-3-031-64302-6_23(324-337)Online publication date: 2-Jul-2024
https://doi.org/10.1007/978-3-031-64302-6_23
Show More Cited By

Index Terms

Jill Watson Doesn't Care if You're Pregnant: Grounding AI Ethics in Empirical Studies
1. Applied computing
  1. Education
    1. Distance learning
    2. E-learning
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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Published In

cover image ACM Conferences

AIES '18: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

December 2018

406 pages

ISBN:9781450360128

DOI:10.1145/3278721

Program Chairs:
Jason Furman
Harvard University, USA
,
Gary Marchant
Arizona State University, USA
,
Huw Price
Cambridge University, UK
,
Francesca Rossi
IBM Research, USA & University of Padova, Italy

Copyright © 2018 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].

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SIGAI: ACM Special Interest Group on Artificial Intelligence

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 December 2018

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AIES '18

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SIGAI

AIES '18: AAAI/ACM Conference on AI, Ethics, and Society

February 2 - 3, 2018

LA, New Orleans, USA

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AIES '18 Paper Acceptance Rate 61 of 162 submissions, 38%;

Overall Acceptance Rate 61 of 162 submissions, 38%

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Cited By

Kakhki MOguz AGendron M(2024)Exploring the Affordances of Chatbots in Higher Education: A Framework for Understanding and Utilizing ChatGPTJournal of Information Systems Education10.62273/UIRX992235:3(284-302)Online publication date: 2024
https://doi.org/10.62273/UIRX9922
Renz AGalla N(2024)KI in der BildungDigitale Lerntechnologien10.14361/9783839468937-009(131-160)Online publication date: 2-Apr-2024
https://doi.org/10.14361/9783839468937-009
Taneja KMaiti PKakar SGuruprasad PRao SGoel A(2024)Jill Watson: A Virtual Teaching Assistant Powered by ChatGPTArtificial Intelligence in Education10.1007/978-3-031-64302-6_23(324-337)Online publication date: 2-Jul-2024
https://doi.org/10.1007/978-3-031-64302-6_23
Kakar SMaiti PTaneja KNandula ANguyen GZhao ANandan VGoel A(2024)Jill Watson: Scaling and Deploying an AI Conversational Agent in Online ClassroomsGenerative Intelligence and Intelligent Tutoring Systems10.1007/978-3-031-63028-6_7(78-90)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-63028-6_7
Basappa RTekman MLu HFaught BKakar SGoel A(2024)Social AI Agents Too Need to Explain ThemselvesGenerative Intelligence and Intelligent Tutoring Systems10.1007/978-3-031-63028-6_29(351-360)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-63028-6_29
Klochko AVesova OKushnir VKryvosheieva ASemenets-Orlova I(2024)Using of Artificial Intelligence Technologies in EducationDigital Technologies in Education10.1007/978-3-031-57422-1_15(219-230)Online publication date: 28-Apr-2024
https://doi.org/10.1007/978-3-031-57422-1_15
Lim TGottipati SCheong M(2023)Ethical Considerations for Artificial Intelligence in Educational AssessmentsCreative AI Tools and Ethical Implications in Teaching and Learning10.4018/979-8-3693-0205-7.ch003(32-79)Online publication date: 29-Dec-2023
https://doi.org/10.4018/979-8-3693-0205-7.ch003
Baker BMills KMcDonald PWang L(2023)AI, Concepts of Intelligence, and Chatbots: The “Figure of Man,” the Rise of Emotion, and Future Visions of EducationTeachers College Record: The Voice of Scholarship in Education10.1177/01614681231191291125:6(60-84)Online publication date: 31-Jul-2023
https://doi.org/10.1177/01614681231191291
Floridi L(2023)The Ethics of Artificial Intelligence10.1093/oso/9780198883098.001.0001Online publication date: 24-Aug-2023
https://doi.org/10.1093/oso/9780198883098.001.0001
Peng ZWan Y(2023)Human vs. AI: Exploring students’ preferences between human and AI TA and the effect of social anxiety and problem complexityEducation and Information Technologies10.1007/s10639-023-12374-429:1(1217-1246)Online publication date: 1-Dec-2023
https://doi.org/10.1007/s10639-023-12374-4
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