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More Than "If Time Allows": The Role of Ethics in AI Education

Published: 07 February 2020 Publication History

Abstract

Even as public pressure mounts for technology companies to consider societal impacts of products, industries and governments in the AI race are demanding technical talent. To meet this demand, universities clamor to add technical artificial intelligence (AI) and machine learning (ML) courses into computing curriculum-but how are societal and ethical considerations part of this landscape? We explore two pathways for ethics content in AI education: (1) standalone AI ethics courses, and (2) integrating ethics into technical AI courses. For both pathways, we ask: What is being taught? As we train computer scientists who will build and deploy AI tools, how are we training them to consider the consequences of their work? In this exploratory work, we qualitatively analyzed 31 standalone AI ethics classes from 22 U.S. universities and 20 AI/ML technical courses from 12 U.S. universities to understand which ethics-related topics instructors include in courses. We identify and categorize topics in AI ethics education, share notable practices, and note omissions. Our analysis will help AI educators identify what topics should be taught and create scaffolding for developing future AI ethics education.

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cover image ACM Conferences
AIES '20: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
February 2020
439 pages
ISBN:9781450371100
DOI:10.1145/3375627
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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Published: 07 February 2020

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  1. artificial intelligence
  2. curriculum
  3. ethics education

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  • Mozilla Responsible Computer Science Challenge

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Overall Acceptance Rate 61 of 162 submissions, 38%

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  • (2024)Navigating the Impact of AI Integration in Higher EducationUtilizing AI for Assessment, Grading, and Feedback in Higher Education10.4018/979-8-3693-2145-4.ch009(212-233)Online publication date: 19-Apr-2024
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