Ethics in Motion Interactive Software for Ethical Decision-Making in Autonomous Vehicles

We developed an interactive software tool tailored for introductory computer science education, specifically for courses taught in Python. The software is designed to engage students in ethical decision-making through the simulation of emergency scenarios involving self-driving vehicles. In these scenarios, where the vehicle's brakes fail, students must refine the car's "ethics engine" to determine the best course of action: continuing straight, swerving into another lane, or crashing into a barrier. Students develop algorithms that consider various factors such as age, gender, race, and physical ability, emphasizing that algorithms are not neutral but reflect embedded societal values. This hands-on, iterative process encourages students to critically evaluate their decisions and understand the broader ethical implications of programming choices. By providing real-time feedback on the consequences of their algorithms, the software fosters critical thinking and ethical awareness, helping students to see how technology and societal values intersect in real-world applications. This project highlights the essential role of ethics in CS education, preparing students to navigate complex moral landscapes in technology.

Authors

Institutions

Publication Details

Published
2025-02-18
DOI
https://doi.org/10.1145/3641555.3705174
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ethics in Motion Interactive Software for Ethical Decision-Making in Autonomous Vehicles

Peter Ohmann, Tony Krystofiak, Anna Byron, Heather Amthauer
Ethics and Social Impacts of AI
article

Ethics in Motion Interactive Software for Ethical Decision-Making in Autonomous Vehicles

Peter Ohmann, Tony Krystofiak, Anna Byron, Heather Amthauer
article en

Abstract

We developed an interactive software tool tailored for introductory computer science education, specifically for courses taught in Python. The software is designed to engage students in ethical decision-making through the simulation of emergency scenarios involving self-driving vehicles. In these scenarios, where the vehicle's brakes fail, students must refine the car's "ethics engine" to determine the best course of action: continuing straight, swerving into another lane, or crashing into a barrier. Students develop algorithms that consider various factors such as age, gender, race, and physical ability, emphasizing that algorithms are not neutral but reflect embedded societal values. This hands-on, iterative process encourages students to critically evaluate their decisions and understand the broader ethical implications of programming choices. By providing real-time feedback on the consequences of their algorithms, the software fosters critical thinking and ethical awareness, helping students to see how technology and societal values intersect in real-world applications. This project highlights the essential role of ethics in CS education, preparing students to navigate complex moral landscapes in technology.

College of Saint Benedict and Saint John's University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 97%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Ethics in Motion Interactive Software for Ethical Decision-Making in Autonomous Vehicles — Peter Ohmann, Tony Krystofiak, et al. · (2025) | TGRS Research Map | TGRS