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Value Cards: An Educational Toolkit for Teaching Social Impacts of
  Machine Learning through Deliberation

Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation

22 October 2020
Hong Shen
Wesley Hanwen Deng
Aditi Chattopadhyay
Zhiwei Steven Wu
Xu Wang
Haiyi Zhu
ArXivPDFHTML

Papers citing "Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation"

9 / 9 papers shown
Title
CARDinality: Interactive Card-shaped Robots with Locomotion and Haptics
  using Vibration
CARDinality: Interactive Card-shaped Robots with Locomotion and Haptics using Vibration
Aditya Retnanto
Emilie Faracci
Anup Sathya
Yukai Hung
Ken Nakagaki
18
4
0
08 Sep 2024
"I'm categorizing LLM as a productivity tool": Examining ethics of LLM
  use in HCI research practices
"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practices
Shivani Kapania
Ruiyi Wang
Toby Jia-Jun Li
Tianshi Li
Hong Shen
34
7
0
28 Mar 2024
What's documented in AI? Systematic Analysis of 32K AI Model Cards
What's documented in AI? Systematic Analysis of 32K AI Model Cards
Weixin Liang
Nazneen Rajani
Xinyu Yang
Ezinwanne Ozoani
Eric Wu
Yiqun Chen
D. Smith
James Y. Zou
36
15
0
07 Feb 2024
Maestro: A Gamified Platform for Teaching AI Robustness
Maestro: A Gamified Platform for Teaching AI Robustness
Margarita Geleta
Jiacen Xu
Manikanta Loya
Junlin Wang
Sameer Singh
Zhou Li
Sergio Gago-Masague
12
0
0
14 Jun 2023
Robots Enact Malignant Stereotypes
Robots Enact Malignant Stereotypes
Andrew Hundt
William Agnew
V. Zeng
Severin Kacianka
Matthew C. Gombolay
LM&Ro
19
41
0
23 Jul 2022
Towards a Roadmap on Software Engineering for Responsible AI
Towards a Roadmap on Software Engineering for Responsible AI
Qinghua Lu
Liming Zhu
Xiwei Xu
Jon Whittle
Zhenchang Xing
23
53
0
09 Mar 2022
An Uncommon Task: Participatory Design in Legal AI
An Uncommon Task: Participatory Design in Legal AI
Fernando A. Delgado
Solon Barocas
K. Levy
15
34
0
08 Mar 2022
Accountability in an Algorithmic Society: Relationality, Responsibility,
  and Robustness in Machine Learning
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper
Emanuel Moss
Benjamin Laufer
Helen Nissenbaum
MLAU
24
85
0
10 Feb 2022
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
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