Argumentation: A calculus for Human-Centric AI

This paper aims to expose and analyze the potential foundational role of Argumentation for Human-Centric AI, and to present the main challenges for this foundational role to be realized in a way that will fit well with the wider requirements and challenges of Human-Centric AI. The central idea set f...

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Main Authors: Emmanuelle Dietz, Antonis Kakas, Loizos Michael
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.955579/full
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author Emmanuelle Dietz
Antonis Kakas
Loizos Michael
Loizos Michael
author_facet Emmanuelle Dietz
Antonis Kakas
Loizos Michael
Loizos Michael
author_sort Emmanuelle Dietz
collection DOAJ
description This paper aims to expose and analyze the potential foundational role of Argumentation for Human-Centric AI, and to present the main challenges for this foundational role to be realized in a way that will fit well with the wider requirements and challenges of Human-Centric AI. The central idea set forward is that by endowing machines with the ability to argue with forms of machine argumentation that are cognitively compatible with those of human argumentation, we will be able to support a naturally effective, enhancing and ethical human-machine cooperation and “social” integration.
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spelling doaj.art-5301f97be07b4612bff3d69ed7849e7d2022-12-22T04:07:25ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122022-10-01510.3389/frai.2022.955579955579Argumentation: A calculus for Human-Centric AIEmmanuelle Dietz0Antonis Kakas1Loizos Michael2Loizos Michael3Airbus Central R&T, Hamburg, GermanyDepartment of Computer Science, University of Cyprus, Nicosia, CyprusOpen University of Cyprus, Latsia, CyprusCYENS Center of Excellence, Nicosia, CyprusThis paper aims to expose and analyze the potential foundational role of Argumentation for Human-Centric AI, and to present the main challenges for this foundational role to be realized in a way that will fit well with the wider requirements and challenges of Human-Centric AI. The central idea set forward is that by endowing machines with the ability to argue with forms of machine argumentation that are cognitively compatible with those of human argumentation, we will be able to support a naturally effective, enhancing and ethical human-machine cooperation and “social” integration.https://www.frontiersin.org/articles/10.3389/frai.2022.955579/fullargumentationposition paperhuman-centric approachArtificial Intelligenceformal foundationslearning
spellingShingle Emmanuelle Dietz
Antonis Kakas
Loizos Michael
Loizos Michael
Argumentation: A calculus for Human-Centric AI
Frontiers in Artificial Intelligence
argumentation
position paper
human-centric approach
Artificial Intelligence
formal foundations
learning
title Argumentation: A calculus for Human-Centric AI
title_full Argumentation: A calculus for Human-Centric AI
title_fullStr Argumentation: A calculus for Human-Centric AI
title_full_unstemmed Argumentation: A calculus for Human-Centric AI
title_short Argumentation: A calculus for Human-Centric AI
title_sort argumentation a calculus for human centric ai
topic argumentation
position paper
human-centric approach
Artificial Intelligence
formal foundations
learning
url https://www.frontiersin.org/articles/10.3389/frai.2022.955579/full
work_keys_str_mv AT emmanuelledietz argumentationacalculusforhumancentricai
AT antoniskakas argumentationacalculusforhumancentricai
AT loizosmichael argumentationacalculusforhumancentricai
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