Embedded EthiCS: Integrating Ethics Broadly Across Computer Science Education

Grosz, Barbara J.; Grant, David Gray; Vredenburgh, Kate; Behrends, Jeff; Hu, Lanlin; Simmons, Alison; Waldo, Jim

doi:10.48550/arxiv.1808.05686

Cited by 3 publications

(3 citation statements)

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“…Among data scientists, the primary response to these issues has been to advocate for a focus on ethics in the field's training and practice. Universities are increasingly creating new courses that train students to consider the ethical implications of computer science (Wang 2017, Singer 2018, Grosz et al 2018; one crowdsourced list includes approximately 200 such classes (Fiesler 2018). Former U.S. Chief Data Scientist D.J.…”

Section: Introductionmentioning

confidence: 99%

Data Science as Political Action: Grounding Data Science in a Politics of Justice

Green

2020

SSRN Journal

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Section: Introductionmentioning

confidence: 99%

Data Science as Political Action: Grounding Data Science in a Politics of Justice

Green

2020

SSRN Journal

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“…Another strategy to boost the effectiveness of machine ethics education is called Embedded EthiCS, currently experimented at Harvard University. This program embeds ethics mini-modules into AI courses, giving students practical competence in thinking through ethical challenges (Grosz et al 2018). One merit of this approach is that students grasp of new machine learning algorithms is accompanied by their ethical implications, which give learners comprehensive insights into the use cases of the technology.…”

Section: The Merits Of An Integrated Approachmentioning

confidence: 99%

Combating The Machine Ethics Crisis: An Educational Approach

2020

Preprint

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In recent years, the availability of massive data sets and improved computing power have driven the advent of cuttingedge machine learning algorithms. However, this trend has triggered growing concerns associated with its ethical issues.In response to such a phenomenon, this study proposes a feasible solution that combines ethics and computer science materials in artificial intelligent classrooms. In addition, the paper presents several arguments and evidence in favor of the necessity and effectiveness of this integrated approach. The Age of Intelligent MachinesMachine learning, a primary branch of Artificial Intelligence (AI), is regarded as one defining technological frontier shaping the 21st century. The advent of intelligent machines that learn and evolve through experience has pervaded a variety of sectors, including science, economics, finance, laws, transportation, and medicine.

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“…The latter features several researchers who have been investigating algorithmic bias and how different groups of people (with respect to race, class, and gender) are harmed more by artificial intelligence and technology. Given these impacts on society and considering that computing and engineering continue to merge as advanced technologies are developed, a need has been established for ethical reasoning in technical curricula [3][4][5][6]. Previous work presented a collaborative lesson plan that integrated science fiction and principles of ethical engineering design in an introductory engineering computing course [7], which could be used and adapted by engineering and computer science faculty.…”

Section: Documentaries Likementioning

confidence: 99%

A Module on Ethics and Social Implications of Computing for Introductory Engineering Computing Courses

Odle,

Finley,

Longfield

2022 ASEE Annual Conference &Amp; Exposition Proceedings

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Hope College. She and her team of undergraduate researchers are interested in developing interventions to reduce risk of musculoskeletal injury associated with manual patient-handling tasks. Courses she teaches include "Engineering Computing," "Biomechanical Systems," "Dynamic Systems Laboratory," and "Mechanics of Materials Laboratory." Prior to joining Hope College, Dr. Odle was a Postdoctoral Fellow in the Department of Biomedical Engineering at Case Western Reserve University, working in the Motion Study Laboratory at the Advanced Platform Technology Center (Louis Stokes Cleveland Veterans Affairs Medical Center). There, she developed and evaluated control systems to restore standing balance after paralysis, explored experimental biomechanical and computational modeling techniques to investigate interactions between the upper extremities and walkers during static and quasi-static standing postures, and investigated the feasibility of neural stimulation to facilitate assisted transfers after paralysis. She received her Ph. D. and M. S. in Biomedical Engineering from New Jersey Institute of Technology. She received her B. S. in Bioengineering from the University of Pittsburgh.

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Embedded EthiCS: Integrating Ethics Broadly Across Computer Science Education

Cited by 3 publications

References 0 publications

Data Science as Political Action: Grounding Data Science in a Politics of Justice

Data Science as Political Action: Grounding Data Science in a Politics of Justice

Combating The Machine Ethics Crisis: An Educational Approach

A Module on Ethics and Social Implications of Computing for Introductory Engineering Computing Courses

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