A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms.

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	arXiv: Human-Computer Interaction
State	Published - Mar 27 2021

Disciplines

@article{b5085e2c7a704d6ea92cade1b94e0ed9,

title = "A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms.",

author = "Ana Lucic and Madhulika Srikumar and Umang Bhatt and Alice Xiang and Ankur Taly and Liao, \{Q. Vera\} and \{de Rijke\}, Maarten",

year = "2021",

month = mar,

day = "27",

language = "American English",

journal = "arXiv: Human-Computer Interaction",

}

TY - JOUR

T1 - A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms.

AU - Lucic, Ana

AU - Srikumar, Madhulika

AU - Bhatt, Umang

AU - Xiang, Alice

AU - Taly, Ankur

AU - Liao, Q. Vera

AU - de Rijke, Maarten

PY - 2021/3/27

Y1 - 2021/3/27

UR - https://arxiv.org/pdf/2103.14976.pdf

M3 - Article

JO - arXiv: Human-Computer Interaction

JF - arXiv: Human-Computer Interaction

ER -