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Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue
[article]
2021
arXiv
pre-print
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In this work, we bridge this gap by proposing a definition, a model, and a catalogue for explainability. ...
Nevertheless, explainability is currently under-researched in the domain of requirements engineering and there is a lack of conceptual models and knowledge catalogues that support the requirements engineering ...
A MODEL OF EXPLAINABILITY Models and catalogues compile knowledge about quality aspects and help to better visualize their possible impact on a system. ...
arXiv:2108.03012v1
fatcat:nmmqg4j2ebgldlpp3l4hiie27e
Supplementary Material for Research Paper "Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue"
2021
Zenodo
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This is the supplementary material for the research paper Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue accepted at the IEEE 29th Requirements Engineering Conference. ...
. – and our workshops can be found here. ...
ABOUT This is the supplementary material for the research paper "Exploring Explainability: A Definition, a Model, and a Knowledge Catalogue" accepted at the IEEE 29th Requirements Engineering Conference ...
doi:10.5281/zenodo.5114922
fatcat:4os3nvqzlvek5kgnyoacj2khxm
ENCODE explained
2012
Nature
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These findings force a rethink of the definition of a gene and of the minimum unit of heredity. ...
explored. ...
doi:10.1038/489052a
pmid:22955614
fatcat:nhmox6d6dnbnvdpdypupjkuqvi
On Explaining Everything
2019
Metatheoria
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On this basis, the questions many-worlds models in Cosmology attempt to solve turn out to be a non-starter because their presupposed metaphysical grounding is ill-founded. ...
This work explores foundational issues related to many-worlds theories in Cosmology. ...
This work undertakes a systematic philosophical exploration and analysis of the latent assumptions responsible for the apparent reliability of manyworlds models in Cosmology. ...
doi:10.48160/18532330me9.236
fatcat:nrwbwm3qvndjfg2zflv6ypg6hy
Evaluating Explainability Methods Intended for Multiple Stakeholders
2021
Künstliche Intelligenz
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In this paper we present an explainability framework formed of a catalogue of explanation methods, and designed to integrate with a range of projects within a telecommunications organisation. ...
We also present and investigate two metrics designed to model the quality of explanations - Meet-In-The-Middle (MITM) and Trust-Your-Neighbours (TYN). ...
It achieves this by incorporating a catalogue of explainability techniques to provide transparency around system decision-making, and improve user understanding of the source data. ...
doi:10.1007/s13218-020-00702-6
fatcat:3xlwwynd6vee3dt2xwdr5tbypu
Fawcett, Peter. Translation and Language. Linguistic Theories Explained
1999
Cadernos de Tradução
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These differences between languages lead to the creation of "a catalogue of translation techniques" and this is the topic of Chapter 4. ...
Two are specially discussed: the first, based on methods of psychological investigation, is concerned with a model that attempts to explain how people's minds handle the process of translating. ...
doi:10.5007/5560
doaj:5f3f42e603b14403bccf1549eb4b9454
fatcat:i57wonbofbbsvowomalrioxjti
Who is this Explanation for? Human Intelligence and Knowledge Graphs for eXplainable AI
[article]
2020
arXiv
pre-print
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Indeed, we call for a better interplay between Knowledge Representation and Reasoning, Social Sciences, Human Computation and Human-Machine Cooperation research -- as already explored in other AI branches ...
eXplainable AI focuses on generating explanations for the output of an AI algorithm to a user, usually a decision-maker. ...
We would like to thank Gloria Re Calegari and Ilaria Tiddi for their feedback and revision on this chapter. ...
arXiv:2005.13275v1
fatcat:nmmv6loaebfrfjcg5sv4pwar6m
Metrics for Explainable AI: Challenges and Prospects
[article]
2019
arXiv
pre-print
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The question addressed in this paper is: If we present to a user an AI system that explains how it works, how do we know whether the explanation works and the user has achieved a pragmatic understanding ...
reliance on the AI are appropriate, and finally, (6) how the human-XAI work system performs. ...
User models might consist of formalisms, such as production rules and semantic networks, which may represent a person's preferences and emulate some aspects of his or her knowledge and reasoning about ...
arXiv:1812.04608v2
fatcat:5uws33nmkrbxlltopncbvmzuke
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
[article]
2020
arXiv
pre-print
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We provide a review on interpretabilities suggested by different research works and categorize them. ...
will be born with more considerations for medical practices, and (3) initiatives to push forward data-based, mathematically- and technically-grounded medical education are encouraged. ...
The program is the collaboration between Alibaba and Nanyang Technological university, Singapore. ...
arXiv:1907.07374v5
fatcat:ssup2eanlvertbcztuovdakykq
Explaining the rank order of invasive plants by stakeholder groups
2014
Ecological Economics
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Data were collected in Galicia, Spain, where a catalogue of prohibited entry and trade of invasive species is currently under debate. ...
The influence these aspects have in the selection of top-ranked invaders varies across different stakeholder groups and with stakeholders' level of knowledge, awareness and attitudes towards different ...
A. Pérez-Alonso acknowledges financial support from the Xunta de Galicia under project 10PXIB300141PR. Our gratitude goes out to ...
doi:10.1016/j.ecolecon.2014.06.019
fatcat:toiax55hcrexjpaomfz7fi6h2q
Explaining Police Bias
2007
Criminal Justice and Behavior
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This article proposes a theory of individual police behavior that is grounded in socialpsychological research on stereotype formation and that assumes a nonmotivational but biased response to minority ...
After specifying the theory, the article presents a research agenda for empirically testing and verifying its propositions. ...
Although it is a relatively small unit, its officers made more than 10% of the 174,919 stops catalogued and analyzed by the researchers who conducted the NYPD study. ...
doi:10.1177/0093854807304484
fatcat:jq2angv72nb5fiobomegypbxgq
A Framework for Exploring Digital Business Ecosystems
2013
2013 46th Hawaii International Conference on System Sciences
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This framework serves as a structure for exploring the value network and the enterprise as part of a digital business ecosystem. ...
Digital business ecosystems are becoming an increasingly popular concept for modeling and building distributed systems in heterogeneous, decentralized and open environments. ...
The definition of value activity elements has been explained and summarized in Table 2 . ...
doi:10.1109/hicss.2013.37
dblp:conf/hicss/KorpelaKTH13
fatcat:srbk4xy73rfpjpnkntpsnn4oqm
Exploring digitalisation at IKEA
2022
International Journal of Retail & Distribution Management
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retail giant, IKEA conducted with semi-structured interviews, participant observations and document analyses.FindingsIn the exploration phase of digitalisation, three major activities – interpreting, ...
interrelating and integrating – illuminate how the exploration process can be organised in practice.Originality/valueAlthough digitalisation ranks amongst the most significant ongoing transformations in ...
To the best of our knowledge, there is a dearth of research focussing specifically on the exploration phase and how it develops in practice. ...
doi:10.1108/ijrdm-12-2020-0510
fatcat:bm2xalwyxnajpnmhnjjj7tsabq
Explainable Artificial Intelligence for Developing Smart Cities Solutions
2020
Smart Cities
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In this work, we survey the concept of 'explainable deep learning' as a subset of the 'explainable AI' problem and propose a new solution using Semantic Web technologies, demonstrated with a smart cities ...
It also has the distinct advantage of integrating experts' knowledge on defining the decision-making rules to represent the complex circumstances and using such knowledge to explain the results. ...
Authors would like to thank the five experts from Bradford City Council who took part in the knowledge elicitation and evaluation process. ...
doi:10.3390/smartcities3040065
fatcat:up6gewcvzzhmfpcayynixpbao4
A New Approach for Explainable Multiple Organ Annotation with Few Data
[article]
2019
arXiv
pre-print
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Despite the recent successes of deep learning, such models are still far from some human abilities like learning from few examples, reasoning and explaining decisions. ...
Given a catalogue of relations, it efficiently induces the most relevant relations and combines them for building constraints in order to both solve the organ annotation task and generate explanations. ...
What makes a good explanation ultimately depends on the knowledge and expectation of the end-user. ...
arXiv:1912.12932v1
fatcat:3gisx3dnwbcxrcrnz45nq75jie
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