This repository is the home for the resources needed for the « What « Could Go Wrong - Online Community version » online game. Originally crafted by Nikolas Martelaro and Wendy Ju, the game debuted at the AutoUI 2020 Workshop. It underwent transformations under Nik and his collective at CMU, evolving to encompass AI-centric scenarios. The current iteration diverges significantly, shedding light on the dynamics of online communities.
In this version, the game delves into the vast universe of online social structures, leveraging prompts that explore the intricacies of virtual interactions and community governance. Inspiration for scenarios comes from a blend of theoretical research and real-world examples, including findings from Smith et al. (2024) and insights from VirtualSocietyHub.com. The framework for discussing potential social and ethical implications is informed by the Digital Society Ethics Code (Diaz & Patel, 2023) and principles of online community management (Jensen & Harper, 2022).
This iteration is enriched with a versatile LaTeX template, enabling enthusiasts to bring the game into the physical realm from its digital origins. Players can immerse themselves in "Community Constellations" through PlayingCards.io, where the game thrives with options for customizing decks through provided csv files for prompts and responses, allowing for a tailored exploration of online communities' complexities.
The digital card game can be loaded into and played on PlayingCards.io. Custom cards can be added using the csv
files for prompts
and responses
Baker, S.D. and Comer, D.R. (2012) ‘“Business Ethics Everywhere”: An Experiential Exercise to Develop Students’ Ability to Identify and Respond to Ethical Issues in Business’, Journal of Management Education, 36(1), pp. 95–125. Available at: https://doi.org/10.1177/1052562911408071.
Floridi, L. et al. (2021) ‘An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations’, in L. Floridi (ed.) Ethics, Governance, and Policies in Artificial Intelligence. Cham: Springer International Publishing (Philosophical Studies Series), pp. 19–39. Available at: https://doi.org/10.1007/978-3-030-81907-1_3.
Kaddour, J. et al. (2023) ‘Challenges and Applications of Large Language Models’. arXiv. Available at: https://doi.org/10.48550/arXiv.2307.10169.
While autonomous vehicles have the potential to greatly improve our daily lives, there are also challenges and potential downsides to these systems. In this workshop, we intend to foster discussions about the potential negative aspects of autonomous cars in hopes of surfacing challenges that should be considered during the design process rather than after deployment. We will spur these conversations through a review of participant position statements and through group discussion facilitated by a card game called “What Could Go Wrong?” Our goal is to consider the autonomous vehicle’s benefits—improving safety, increasing mobility, reducing emissions—against potential drawbacks. By identifying potential harms and downsides, the workshop attendees, and the AutoUI community more broadly can design well-considered solutions.
Edit Table
icon in the green toolbardRoom Options
Import From File
what-could-go-worng-av.pcio
Edit Table
to exit editing mode and go into gameplay modeEdit the prompts.csv
and responses.csv
to add new cards to the decks. Follow instrcutions for adding new cards here: https://playingcards.io/docs/custom-decks
Nikolas Martelaro and Wendy Ju. 2020. What Could Go Wrong? Exploring the Downsides of Autonomous Vehicles. In 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '20). Association for Computing Machinery, New York, NY, USA, 99–101. DOI:https://doi.org/10.1145/3409251.3411734
author = {Martelaro, Nikolas and Ju, Wendy},
title = {What Could Go Wrong? Exploring the Downsides of Autonomous Vehicles},
year = {2020},
isbn = {9781450380669},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3409251.3411734},
doi = {10.1145/3409251.3411734},
abstract = { While autonomous vehicles have the potential to greatly improve our daily lives, there are also challenges and potential downsides to these systems. In this workshop, we intend to foster discussions about the potential negative aspects of autonomous cars in hopes of surfacing challenges that should be considered during the design process rather than after deployment. We will spur these conversations through a review of participant position statements and through group discussion facilitated by a card game called “What Could Go Wrong?” Our goal is to consider the autonomous vehicle’s benefits—improving safety, increasing mobility, reducing emissions—against potential drawbacks. By identifying potential harms and downsides, the workshop attendees, and the AutoUI community more broadly can design well-considered solutions.},
booktitle = {12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications},
pages = {99–101},
numpages = {3},
keywords = {game with a purpose, failure modes, autonomous vehicles},
location = {Virtual Event, DC, USA},
series = {AutomotiveUI '20}.
}
For some motivation on why we want to develop new hazard analysis games.
title={Exploring Opportunities in Usable Hazard Analysis Processes for AI Engineering},
author={Martelaro, Nikolas and Smith, Carol J and Zilovic, Tamara},
journal={arXiv preprint arXiv:2203.15628},
year={2022}
}