Explainable AI for Cultural Minds

Hana Kopecka; Jose Such

Explainable AI for Cultural Minds

Research output: Contribution to conference types › Paper › peer-review

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Abstract

The focus of explainable Artificial Intelligence (XAI)
is to provide users with explanations of automated decision-making
processes in order to facilitate trust between AI systems and users.
Moreover, it aims to empower users by helping them to under-
stand the reasoning mechanism of an AI system. Research in XAI,
however, mostly ignores the influence of user’s socio-cultural back-
ground on their explanation needs. In this paper, we advocate a novel
approach within XAI, which takes the socio-cultural background of
users into consideration. We build on social scientific research sug-
gesting that the socio-cultural background is constitutive of one’s
‘mental programming’ and thus influences perception of explana-
tions. We then outline a research agenda and challenges of more
socio-culturally aware XAI.

Original language	English
Publication status	Published - 2020
Event	Workshop on Dialogue, Explanation and Argumentation for Human-Agent Interaction - Duration: 7 Sept 2020 → … https://sites.google.com/view/dexahai-at-ecai2020/home

Workshop

Workshop	Workshop on Dialogue, Explanation and Argumentation for Human-Agent Interaction
Abbreviated title	DEXAHAI
Period	7/09/2020 → …
Internet address	https://sites.google.com/view/dexahai-at-ecai2020/home

Keywords

Explainable Artificial Intelligence, XAI, Socio-cultural dimensions, Understandability

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Explainable AI for Cultural MindsAccepted author manuscript, 119 KB

Cite this

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title = "Explainable AI for Cultural Minds",

abstract = "The focus of explainable Artificial Intelligence (XAI)is to provide users with explanations of automated decision-makingprocesses in order to facilitate trust between AI systems and users.Moreover, it aims to empower users by helping them to under-stand the reasoning mechanism of an AI system. Research in XAI,however, mostly ignores the influence of user{\textquoteright}s socio-cultural back-ground on their explanation needs. In this paper, we advocate a novelapproach within XAI, which takes the socio-cultural background ofusers into consideration. We build on social scientific research sug-gesting that the socio-cultural background is constitutive of one{\textquoteright}s{\textquoteleft}mental programming{\textquoteright} and thus influences perception of explana-tions. We then outline a research agenda and challenges of moresocio-culturally aware XAI.",

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author = "Hana Kopecka and Jose Such",

year = "2020",

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TY - CONF

T1 - Explainable AI for Cultural Minds

AU - Kopecka, Hana

AU - Such, Jose

PY - 2020

Y1 - 2020

N2 - The focus of explainable Artificial Intelligence (XAI)is to provide users with explanations of automated decision-makingprocesses in order to facilitate trust between AI systems and users.Moreover, it aims to empower users by helping them to under-stand the reasoning mechanism of an AI system. Research in XAI,however, mostly ignores the influence of user’s socio-cultural back-ground on their explanation needs. In this paper, we advocate a novelapproach within XAI, which takes the socio-cultural background ofusers into consideration. We build on social scientific research sug-gesting that the socio-cultural background is constitutive of one’s‘mental programming’ and thus influences perception of explana-tions. We then outline a research agenda and challenges of moresocio-culturally aware XAI.

AB - The focus of explainable Artificial Intelligence (XAI)is to provide users with explanations of automated decision-makingprocesses in order to facilitate trust between AI systems and users.Moreover, it aims to empower users by helping them to under-stand the reasoning mechanism of an AI system. Research in XAI,however, mostly ignores the influence of user’s socio-cultural back-ground on their explanation needs. In this paper, we advocate a novelapproach within XAI, which takes the socio-cultural background ofusers into consideration. We build on social scientific research sug-gesting that the socio-cultural background is constitutive of one’s‘mental programming’ and thus influences perception of explana-tions. We then outline a research agenda and challenges of moresocio-culturally aware XAI.

KW - Explainable Artificial Intelligence, XAI, Socio-cultural dimensions, Understandability

M3 - Paper

T2 - Workshop on Dialogue, Explanation and Argumentation for Human-Agent Interaction

Y2 - 7 September 2020

ER -

Explainable AI for Cultural Minds

Abstract

Workshop

Keywords

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