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Teaching data ethics: "We're going to ethics the heck out of this"

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Teaching data ethics : "We're going to ethics the heck out of this". / Henderson, Tristan.

Proceedings of the 3rd Conference on Computing Education Practice (CEP'19). New York : ACM, 2019. 4.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Henderson, T 2019, Teaching data ethics: "We're going to ethics the heck out of this". in Proceedings of the 3rd Conference on Computing Education Practice (CEP'19)., 4, ACM, New York, Computing Education Practice, Durham, United Kingdom, 9/01/19. https://doi.org/10.1145/3294016.3294017

APA

Henderson, T. (2019). Teaching data ethics: "We're going to ethics the heck out of this". In Proceedings of the 3rd Conference on Computing Education Practice (CEP'19) [4] ACM. https://doi.org/10.1145/3294016.3294017

Vancouver

Henderson T. Teaching data ethics: "We're going to ethics the heck out of this". In Proceedings of the 3rd Conference on Computing Education Practice (CEP'19). New York: ACM. 2019. 4 https://doi.org/10.1145/3294016.3294017

Author

Henderson, Tristan. / Teaching data ethics : "We're going to ethics the heck out of this". Proceedings of the 3rd Conference on Computing Education Practice (CEP'19). New York : ACM, 2019.

Bibtex - Download

@inproceedings{8243d555c399490392f2cd19ab6dfba4,
title = "Teaching data ethics: {"}We're going to ethics the heck out of this{"}",
abstract = "This paper outlines a new Data Ethics & Privacy module that was introduced to computer science students in 2018. The module aims to raise student awareness of current debates in computer science such as bias in artificial intelligence, algorithmic accountability, filter bubbles and data protection, and practical mechanisms for addressing these issues. To do this, the module includes interdisciplinary content from ethics, law and computer science, and also adopts some teaching methods from the law. I describe the format of the module, challenges with module design and approval, some initial comments on the first year{\textquoteright}s cohort, and plans for future improvements. I believe that the topic is currently important and this discussion might be of interest to other computer science departments considering the introduction of similar content.",
keywords = "Data ethics, Education, Algorithmic accountability",
author = "Tristan Henderson",
year = "2019",
month = jan,
day = "9",
doi = "10.1145/3294016.3294017",
language = "English",
booktitle = "Proceedings of the 3rd Conference on Computing Education Practice (CEP'19)",
publisher = "ACM",
address = "United States",
note = "Computing Education Practice, CEP ; Conference date: 09-01-2019 Through 09-01-2019",
url = "http://community.dur.ac.uk/cep.conference/2019/index.php",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Teaching data ethics

T2 - Computing Education Practice

AU - Henderson, Tristan

N1 - Conference code: 3

PY - 2019/1/9

Y1 - 2019/1/9

N2 - This paper outlines a new Data Ethics & Privacy module that was introduced to computer science students in 2018. The module aims to raise student awareness of current debates in computer science such as bias in artificial intelligence, algorithmic accountability, filter bubbles and data protection, and practical mechanisms for addressing these issues. To do this, the module includes interdisciplinary content from ethics, law and computer science, and also adopts some teaching methods from the law. I describe the format of the module, challenges with module design and approval, some initial comments on the first year’s cohort, and plans for future improvements. I believe that the topic is currently important and this discussion might be of interest to other computer science departments considering the introduction of similar content.

AB - This paper outlines a new Data Ethics & Privacy module that was introduced to computer science students in 2018. The module aims to raise student awareness of current debates in computer science such as bias in artificial intelligence, algorithmic accountability, filter bubbles and data protection, and practical mechanisms for addressing these issues. To do this, the module includes interdisciplinary content from ethics, law and computer science, and also adopts some teaching methods from the law. I describe the format of the module, challenges with module design and approval, some initial comments on the first year’s cohort, and plans for future improvements. I believe that the topic is currently important and this discussion might be of interest to other computer science departments considering the introduction of similar content.

KW - Data ethics

KW - Education

KW - Algorithmic accountability

UR - http://community.dur.ac.uk/cep.conference/2019/index.php

U2 - 10.1145/3294016.3294017

DO - 10.1145/3294016.3294017

M3 - Conference contribution

BT - Proceedings of the 3rd Conference on Computing Education Practice (CEP'19)

PB - ACM

CY - New York

Y2 - 9 January 2019 through 9 January 2019

ER -

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ID: 256550972

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