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Expl(AI)n It to Me – Explainable AI and Information Systems Research

Kevin Bauer, Oliver Hinz, Wil Van Der Aalst, Christof Weinhardt
, predestines Information Systems researchers to focus on the field of interpretable machine learning.  ...  Second, the potential to enhance economic efficiency and human welfare using AI is not limited to informing specific decisions through predictions.  ... 
doi:10.5445/ir/1000130874 fatcat:qvmihpujpbcofl733ytljnoesa

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance [article]

Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Tulio Ribeiro, Daniel S. Weld
2021 arXiv   pre-print
Many researchers motivate explainable AI with studies showing that human-AI team performance on decision-making tasks improves when the AI explains its recommendations.  ...  We conduct mixed-method user studies on three datasets, where an AI with accuracy comparable to humans helps participants solve a task (explaining itself in some conditions).  ...  , and Microsoft Research.  ... 
arXiv:2006.14779v3 fatcat:763byqoxrrdttm3wyhhzys3qla

Applications-oriented AI Research: Medicine [chapter]

1982 The Handbook of Artificial Intelligence  
The system then f inds and disp lays a canned expl anation • -which is associated with the concept that is being questioned.  ...  The possIb ilities are:Enter singie value "~ MALE So far the system is determining what it needs to know to make a fratient-i pecific model.Later , it will ask why Me patient Is being put on digitalIs,  ... 
doi:10.1016/b978-0-86576-090-5.50008-2 fatcat:ybd366hrsfamfoxjctm4vbaezi

When corpus analysis refutes common beliefs: the case of interpolation in European Portuguese dialects

Catarina Magro
2010 Corpus  
The lack of syntactic data available to researchers explains why some features of Portuguese dialects remained unnoticed until recently, while others have been described and explained without enough empirical  ...  linguistic systems).  ... 
doi:10.4000/corpus.1859 fatcat:dodyglvyyrbqhaockq42jxqj5u

A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts [article]

Gesina Schwalbe, Bettina Finzel
2021 arXiv   pre-print
Hence, it provides foundations for targeted, use-case-oriented, and context-sensitive future research.  ...  In the meantime, a wide variety of terminologies, motivations, approaches and evaluation criteria have been developed within the research field of explainable artificial intelligence (XAI).  ...  Human-AI system A system containing both algorithmic components and a human actor that have to cooperate for achieving a goal.  ... 
arXiv:2105.07190v2 fatcat:4c4zjb6hbbdbxiiw43qtvr3qhq

Beyond quantitative decline: Conceptual shifts in adolescents' development of interest in mathematics

Anne C. Frenzel, Reinhard Pekrun, Anna-Lena Dicke, Thomas Goetz
2012 Developmental Psychology  
The findings suggest that developmental research should integrate quantitative and qualitati ve perspecti ves of construct change over time and pay more allention to issues of measurement invm'iance and  ...  mathematics (Eccles et aI.  ...  and 4. "Can you explain to me why you chose that answer?" Prior to Step I, the corresponding item was displayed on the laptop screen by the interviewer.  ... 
doi:10.1037/a0026895 pmid:22288365 fatcat:7tfphaoaszeztgbytmmatwb3im

Belief Perseverance, Biased Assimilation, and Covariation Detection: The Effects of Hypothetical Social Theories and New Data

Craig A. Anderson, Kathryn L. Kellam
1992 Personality and Social Psychology Bulletin  
The main findi were that gene beliefs were influe by new data but not by exPl that specific predictions about a group of risk-preferring and a group of conser firefzg were influe by expl but not by new  ...  Discussion focuses on the power of hypothetical exPlanation to produce belief perseverance, boundary conditions of biased assimilation, and the different judgment processes peopk use to generate answers  ...  It was explained that the experimenter wanted to get their "first impressions" of the information.  ... 
doi:10.1177/0146167292185005 fatcat:h4tmypupb5dwnmg6azufoij54m

Fate and Behavior of Lead in Soils Planted with Metal-Resistant Species (River Birch and Smallwing Sedge)

Steve P. Klassen, Joan E. McLean, Paul R. Grossl, Ronald C. Sims
2000 Journal of Environmental Quality  
ACKNOWLEDGMENTS We gratefully acknowledge financial support for this project by the USGS 104 Program and the State of Utah Mineral Lease and State Appropriation Funds.  ...  It is impo rta nt to eva lu ate diffe re nces in the ra tes o f water use be tween species since tra nspiratio n is the driving force controlling the flu x of solubl e heavy me ta ls to the pl ant.  ...  The sa me characteristic (orga nic a nd cl ay content) that promote a grea te r buffering capacity in th e site oil also will contribute to its ab ility to reta in phosphate and sulfate.  ... 
doi:10.2134/jeq2000.00472425002900060013x fatcat:udr47tt55rapxfqh3l5woxssl4

You Can Do Better! If You Elaborate the Reason When Making Prediction [article]

Dongfang Li, Jingcong Tao, Qingcai Chen, Baotian Hu
2021 arXiv   pre-print
This paper proposes a neural predictive approach to make a prediction and generate its corresponding explanation simultaneously.  ...  However, most neural predictive models suffer from the lack of explainability of predictions, limiting their practical utility.  ...  We show that it is sufficient to generate only one explanation that explains why the correct answer was chosen for each question; (3) A cause that explains in a more informative and fluent manner may be  ... 
arXiv:2103.14919v2 fatcat:aabu2l3t2bewhgvi4njwesa2yy

Page 840 of National Union Catalog Vol. 1, Issue [page]

1963 National Union Catalog  
SF Summary: Exple the mission of the Armed Services Technical Information Agency (ASTIA), a technical Mbrary which fills the information needs of defense contractors and military research and development  ...  To the moon (Motion picture) Columbia Broadcasting System.  ... 


2006 International journal of pattern recognition and artificial intelligence  
Some symbolic AI models for example BDI (belief, desire, intention) models are conceived as explicit and operational models of the intentional pursuit and belief dynamics.  ...  The main concern of these models is to provide a clear understanding of the functional roles of different kinds of epistemic and motivational states (beliefs, acceptances, expectations, intentions, goals  ...  AAAI Fall Symposium "From Reactive to Anticipatory Cognitive Embodied Systems".  ... 
doi:10.1142/s0218001406004983 fatcat:6z5nzg4szfcnretbjcd52p632a

The Connectionist Mind: A Study of Hayekian Psychology [chapter]

Barry Smith, D. A. Reisman
1997 Hayek: Economist and Social Philosopher  
It is this internal nesting structure, Hayek holds, that expl ains how what is after all a me re system of impulses 'can produce "models" of extreme ly complex relationships between stimuli, and indeed  ...  AI research has for some time been do minated by two' competing meth odologies, resting on two distinct paradi gms as to what intelligence might be and what sort of computer might best be employed to simulate  ... 
doi:10.1007/978-1-349-25991-5_2 fatcat:4cexfhhokzbnve3udlgmwxfmxi

D4.2 Implementation of R17: ICT based Innovative Social Actions

2019 Zenodo  
D4.2 includes only the description of the use of the IT tools (R1-R15, but specially those ones specially developed for this purpose, as learning materials, apps and serious games) to some of the strategies  ...  The final objective is to increase the impact of the social actions and to foster mutual learning, as well as to identify hotspots which allow to define ad hoc campaigns.  ...  Ai med a t expl a i n ci rcul a r economy i n a n ea s y wa y. 6-16 y nov-18 MG4.  ... 
doi:10.5281/zenodo.3233955 fatcat:bax2exebmffvhl2yb7ukac46am

How Do Consumers Evaluate Explainer Videos? An Empirical Study on the Effectiveness and Efficiency of Different Explainer Video Formats

Andreas Krämer, Sandra Böhrs
2016 Journal of Education and Learning  
More and more people use videos not only as a source of information but also as learning tool.  ...  This article explores the future potential of explainer videos, a format that conveys complex facts to a target group within a very short time.  ...  and the entire data management as well as Susanne Schmidt and Fendi Choi from simpleshow for substantive input to the study.  ... 
doi:10.5539/jel.v6n1p254 fatcat:ay43hyhjazeuvgoyr5xx353glq

LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer Information [article]

Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas
2021 arXiv   pre-print
Explainable AI (XAI) is recently treated as a huge step towards reliable systems, enhancing the trust of people to AI.  ...  AI-powered systems are monitoring and deciding about sensitive economic and societal issues. The future is towards automation, and it must not be prevented.  ...  Introduction Interpretable machine learning (IML) aims to discover the rationale behind the decision of a system, and explainable machine learning aims to present this kind of analysis in a human-understandable  ... 
arXiv:2104.06057v1 fatcat:qwodll3lvjeezawai5nzjzoqji
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