Explainable AI: Intrinsic, Dialogic, and Impact Measures of Success

Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

Original language	English
Title of host publication	Proceedings of the ACM CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI (HCXAI 2021)
Publication status	Published - 2021

Keywords

This output contributes to the following UN Sustainable Development Goals (SDGs)

@inproceedings{c414ff898a62409ea2afd0541871a4f3,

title = "Explainable AI: Intrinsic, Dialogic, and Impact Measures of Success",

keywords = "Explanation, Evaluation, Measures, Explainable AI, Human Centered AI",

author = "Rebekah Wegener and Joerg Cassens",

year = "2021",

language = "English",

booktitle = "Proceedings of the ACM CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI (HCXAI 2021)",

}

TY - GEN

T1 - Explainable AI: Intrinsic, Dialogic, and Impact Measures of Success

AU - Wegener, Rebekah

AU - Cassens, Joerg

PY - 2021

Y1 - 2021

KW - Explanation

KW - Evaluation

KW - Measures

KW - Explainable AI

KW - Human Centered AI

M3 - Conference contribution

BT - Proceedings of the ACM CHI Workshop on Operationalizing Human-Centered Perspectives in Explainable AI (HCXAI 2021)

ER -