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Dice in the Black Box: User Experiences with an Inscrutable Algorithm

Dice in the Black Box: User Experiences with an Inscrutable Algorithm

7 December 2018
Aaron Springer
Victoria Hollis
S. Whittaker
ArXiv (abs)PDFHTML

Papers citing "Dice in the Black Box: User Experiences with an Inscrutable Algorithm"

13 / 13 papers shown
Responding to Generative AI Technologies with Research-through-Design:
  The Ryelands AI Lab as an Exploratory Study
Responding to Generative AI Technologies with Research-through-Design: The Ryelands AI Lab as an Exploratory Study
Jesse Josua Benjamin
Joseph Lindley
Elizabeth Edwards
Elisa Rubegni
Tim Korjakow
David Grist
Rhiannon Sharkey
236
24
0
07 May 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
Clara Punzi
Roberto Pellungrini
Mattia Setzu
F. Giannotti
D. Pedreschi
482
8
0
09 Feb 2024
Painting the black box white: experimental findings from applying XAI to
  an ECG reading setting
Painting the black box white: experimental findings from applying XAI to an ECG reading settingMachine Learning and Knowledge Extraction (MLKE), 2022
F. Cabitza
M. Cameli
Andrea Campagner
Chiara Natali
Luca Ronzio
215
17
0
27 Oct 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And
  Dataset
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And DatasetInternational Conference on Learning Representations (ICLR), 2022
Leon Sixt
M. Schuessler
Oana-Iuliana Popescu
Philipp Weiß
Tim Landgraf
FAtt
241
21
0
25 Apr 2022
Robustness and Usefulness in AI Explanation Methods
Robustness and Usefulness in AI Explanation Methods
Erick Galinkin
FAtt
287
2
0
07 Mar 2022
Explanation Strategies as an Empirical-Analytical Lens for
  Socio-Technical Contextualization of Machine Learning Interpretability
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability
J. Benjamin
C. Kinkeldey
Claudia Muller-Birn
Tim Korjakow
Eva-Maria Herbst
238
14
0
24 Sep 2021
The Flaws of Policies Requiring Human Oversight of Government Algorithms
The Flaws of Policies Requiring Human Oversight of Government AlgorithmsComputer Law and Security Review (CLSR), 2021
Ben Green
407
168
0
10 Sep 2021
Why Did the Robot Cross the Road? A User Study of Explanation in
  Human-Robot Interaction
Why Did the Robot Cross the Road? A User Study of Explanation in Human-Robot InteractionInteracción (HCI International), 2020
Zachary Taschdjian
82
0
0
30 Nov 2020
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted
  Decision-making
Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making
Charvi Rastogi
Yunfeng Zhang
Dennis L. Wei
Kush R. Varshney
Amit Dhurandhar
Richard J. Tomsett
HAI
306
176
0
15 Oct 2020
Explaining an increase in predicted risk for clinical alerts
Explaining an increase in predicted risk for clinical alertsACM Conference on Health, Inference, and Learning (CHIL), 2019
Michaela Hardt
A. Rajkomar
Gerardo Flores
Andrew M. Dai
M. Howell
Greg S. Corrado
Claire Cui
Moritz Hardt
FAtt
232
13
0
10 Jul 2019
What Are You Hiding? Algorithmic Transparency and User Perceptions
What Are You Hiding? Algorithmic Transparency and User Perceptions
Aaron Springer
S. Whittaker
52
17
0
07 Dec 2018
Progressive Disclosure: Designing for Effective Transparency
Progressive Disclosure: Designing for Effective Transparency
Aaron Springer
Ling Huang
184
21
0
06 Nov 2018
"I had a solid theory before but it's falling apart": Polarizing Effects
  of Algorithmic Transparency
"I had a solid theory before but it's falling apart": Polarizing Effects of Algorithmic Transparency
Aaron Springer
S. Whittaker
115
8
0
06 Nov 2018
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