EXSS-ATEC: Explainable smart systems and algorithmic transparency in emerging technologies 2020

Alison Smith-Renner; Tsvi Kuﬂik; Advait Sarkar; Styliani Kleanthous; Simone Stumpf; Casey Dugan; Brian Lim; Jahna Otterbacher; Avital Shulner

EXSS-ATEC: Explainable smart systems and algorithmic transparency in emerging technologies 2020

Alison Smith-Renner, Tsvi Kuﬂik, Advait Sarkar, Styliani Kleanthous, Simone Stumpf, Casey Dugan, Brian Lim, Jahna Otterbacher, Avital Shulner

Department of Information Systems

Research output: Contribution to journal › Conference article › peer-review

Abstract

Smart systems that apply complex reasoning to make decisions and plan behavior, such as decision support systems and personalized recommendations, are difficult for users to understand. Algorithms allow the exploitation of rich and varied data sources, in order to support human decision-making and/or taking direct actions; however, there are increasing concerns surrounding their transparency and accountability, as these processes are typically opaque to the user. Transparency and accountability have attracted increasing interest to provide more effective system training, better reliability and improved usability. This workshop will provide a venue for exploring issues that arise in designing, developing and evaluating intelligent user interfaces that provide system transparency or explanations of their behavior. In addition, our goal is to focus on approaches to mitigate algorithmic biases that can be applied by researchers, even without access to a given system's inter-workings, such as awareness, data provenance, and validation.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	2582
State	Published - 2020
Event	2020 Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies, ExSS-ATEC 2020 - Cagliari, Italy Duration: 17 Mar 2020 → …

Bibliographical note

Funding Information:
The ExSS-ATEC 2020 workshop brings together academia and industry together to address these issues. This workshop is a follow-on from the ExSS 2018 and 2019 workshops in combination with the ATEC 2019 workshop previously held at IUI. This workshop includes a keynote, paper panels, and group activities, with the goal of developing concrete approaches to handling challenges related to the design and development of explanations and system transparency. ExSS-ATEC 2020 is supported by the Cyprus Center for Algorithm Transparency (CyCAT).

Publisher Copyright:
Copyright © 2020 for this paper by its authors.

Keywords

Accountability
Explanations
Fairness
Intelligent systems
Intelligibility
Machine learning
Transparency
Visualizations

ASJC Scopus subject areas

Computer Science (all)

Cite this

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title = "EXSS-ATEC: Explainable smart systems and algorithmic transparency in emerging technologies 2020",

abstract = "Smart systems that apply complex reasoning to make decisions and plan behavior, such as decision support systems and personalized recommendations, are difficult for users to understand. Algorithms allow the exploitation of rich and varied data sources, in order to support human decision-making and/or taking direct actions; however, there are increasing concerns surrounding their transparency and accountability, as these processes are typically opaque to the user. Transparency and accountability have attracted increasing interest to provide more effective system training, better reliability and improved usability. This workshop will provide a venue for exploring issues that arise in designing, developing and evaluating intelligent user interfaces that provide system transparency or explanations of their behavior. In addition, our goal is to focus on approaches to mitigate algorithmic biases that can be applied by researchers, even without access to a given system's inter-workings, such as awareness, data provenance, and validation.",

keywords = "Accountability, Explanations, Fairness, Intelligent systems, Intelligibility, Machine learning, Transparency, Visualizations",

author = "Alison Smith-Renner and Tsvi Kuﬂik and Advait Sarkar and Styliani Kleanthous and Simone Stumpf and Casey Dugan and Brian Lim and Jahna Otterbacher and Avital Shulner",

note = "Funding Information: The ExSS-ATEC 2020 workshop brings together academia and industry together to address these issues. This workshop is a follow-on from the ExSS 2018 and 2019 workshops in combination with the ATEC 2019 workshop previously held at IUI. This workshop includes a keynote, paper panels, and group activities, with the goal of developing concrete approaches to handling challenges related to the design and development of explanations and system transparency. ExSS-ATEC 2020 is supported by the Cyprus Center for Algorithm Transparency (CyCAT). Publisher Copyright: Copyright {\textcopyright} 2020 for this paper by its authors.; 2020 Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies, ExSS-ATEC 2020 ; Conference date: 17-03-2020",

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language = "English",

volume = "2582",

journal = "CEUR Workshop Proceedings",

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T2 - 2020 Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies, ExSS-ATEC 2020

AU - Smith-Renner, Alison

AU - Kuﬂik, Tsvi

AU - Sarkar, Advait

AU - Kleanthous, Styliani

AU - Stumpf, Simone

AU - Dugan, Casey

AU - Lim, Brian

AU - Otterbacher, Jahna

AU - Shulner, Avital

N1 - Funding Information: The ExSS-ATEC 2020 workshop brings together academia and industry together to address these issues. This workshop is a follow-on from the ExSS 2018 and 2019 workshops in combination with the ATEC 2019 workshop previously held at IUI. This workshop includes a keynote, paper panels, and group activities, with the goal of developing concrete approaches to handling challenges related to the design and development of explanations and system transparency. ExSS-ATEC 2020 is supported by the Cyprus Center for Algorithm Transparency (CyCAT). Publisher Copyright: Copyright © 2020 for this paper by its authors.

PY - 2020

Y1 - 2020

N2 - Smart systems that apply complex reasoning to make decisions and plan behavior, such as decision support systems and personalized recommendations, are difficult for users to understand. Algorithms allow the exploitation of rich and varied data sources, in order to support human decision-making and/or taking direct actions; however, there are increasing concerns surrounding their transparency and accountability, as these processes are typically opaque to the user. Transparency and accountability have attracted increasing interest to provide more effective system training, better reliability and improved usability. This workshop will provide a venue for exploring issues that arise in designing, developing and evaluating intelligent user interfaces that provide system transparency or explanations of their behavior. In addition, our goal is to focus on approaches to mitigate algorithmic biases that can be applied by researchers, even without access to a given system's inter-workings, such as awareness, data provenance, and validation.

AB - Smart systems that apply complex reasoning to make decisions and plan behavior, such as decision support systems and personalized recommendations, are difficult for users to understand. Algorithms allow the exploitation of rich and varied data sources, in order to support human decision-making and/or taking direct actions; however, there are increasing concerns surrounding their transparency and accountability, as these processes are typically opaque to the user. Transparency and accountability have attracted increasing interest to provide more effective system training, better reliability and improved usability. This workshop will provide a venue for exploring issues that arise in designing, developing and evaluating intelligent user interfaces that provide system transparency or explanations of their behavior. In addition, our goal is to focus on approaches to mitigate algorithmic biases that can be applied by researchers, even without access to a given system's inter-workings, such as awareness, data provenance, and validation.

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KW - Explanations

KW - Fairness

KW - Intelligent systems

KW - Intelligibility

KW - Machine learning

KW - Transparency

KW - Visualizations

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M3 - Conference article

AN - SCOPUS:85082956667

SN - 1613-0073

VL - 2582

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 17 March 2020

ER -

EXSS-ATEC: Explainable smart systems and algorithmic transparency in emerging technologies 2020

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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