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

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

Original language	English
Title of host publication	Proceedings of the Twelfth International Workshop Modelling and Reasoning in Context (MRC 2021)
Publisher	CEUR-WS.org
Publication status	Published - 2021

Keywords

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

@inproceedings{72f28771b9ce438fb5c39b4f85744a3b,

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

keywords = "Explainable AI, Evaluation, Measurement, Context, Human Centered AI, Artificial Intelligence",

author = "Rebekah Wegener and J{\"o}rg Cassens",

year = "2021",

language = "English",

booktitle = "Proceedings of the Twelfth International Workshop Modelling and Reasoning in Context (MRC 2021)",

publisher = "CEUR-WS.org",

}

TY - GEN

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

AU - Wegener, Rebekah

AU - Cassens, Jörg

PY - 2021

Y1 - 2021

KW - Explainable AI

KW - Evaluation

KW - Measurement

KW - Context

KW - Human Centered AI

KW - Artificial Intelligence

UR - http://ceur-ws.org/Vol-2995/#paper5

M3 - Conference contribution

BT - Proceedings of the Twelfth International Workshop Modelling and Reasoning in Context (MRC 2021)

PB - CEUR-WS.org

ER -