Building Trust in Human-Machine Partnerships

Gerard Canal; Rita Borgo; Andrew Coles; Archie Drake; Dong Huynh; Perry Keller; Senka Krivić; Paul Luff; Quratul-ain Mahesar; Luc Moreau; Simon Parsons; Menisha Patel; Elizabeth I Sklar

doi:10.1016/j.clsr.2020.105489

Building Trust in Human-Machine Partnerships

Gerard Canal, Rita Borgo, Andrew Coles, Archie Drake, Dong Huynh, Perry Keller, Senka Krivić, Paul Luff, Quratul-ain Mahesar, Luc Moreau, Simon Parsons, Menisha Patel, Elizabeth I Sklar

Research output: Contribution to journal › Article › peer-review

Abstract

Artificial intelligence (ai) is bringing radical change to our lives. Fostering trust in this technology requires the technology to be transparent, and one route to transparency is to make the decisions that are reached by ais explainable to the humans that interact with them. This paper lays out an exploratory approach to developing explainability and trust, describing the specific technologies that we are adopting, the social and organizational context in which we are working, and some of the challenges that we are addressing.

Original language	English
Article number	105489
Number of pages	6
Journal	Computer Law and Security Review
Volume	39
Early online date	26 Oct 2020
DOIs	https://doi.org/10.1016/j.clsr.2020.105489
Publication status	Published - 1 Nov 2020

Keywords / Materials (for Non-textual outputs)

Artificial intelligence
explainable
planning

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10.1016/j.clsr.2020.105489Licence: All Rights Reserved

https://www.sciencedirect.com/science/article/pii/S0267364920300947Licence: All Rights Reserved

Cite this

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title = "Building Trust in Human-Machine Partnerships",

abstract = "Artificial intelligence (ai) is bringing radical change to our lives. Fostering trust in this technology requires the technology to be transparent, and one route to transparency is to make the decisions that are reached by ais explainable to the humans that interact with them. This paper lays out an exploratory approach to developing explainability and trust, describing the specific technologies that we are adopting, the social and organizational context in which we are working, and some of the challenges that we are addressing.",

keywords = "Artificial intelligence, explainable, planning",

author = "Gerard Canal and Rita Borgo and Andrew Coles and Archie Drake and Dong Huynh and Perry Keller and Senka Krivi{\'c} and Paul Luff and Quratul-ain Mahesar and Luc Moreau and Simon Parsons and Menisha Patel and Sklar, {Elizabeth I}",

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AU - Canal, Gerard

AU - Borgo, Rita

AU - Coles, Andrew

AU - Drake, Archie

AU - Huynh, Dong

AU - Keller, Perry

AU - Krivić, Senka

AU - Luff, Paul

AU - Mahesar, Quratul-ain

AU - Moreau, Luc

AU - Parsons, Simon

AU - Patel, Menisha

AU - Sklar, Elizabeth I

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AB - Artificial intelligence (ai) is bringing radical change to our lives. Fostering trust in this technology requires the technology to be transparent, and one route to transparency is to make the decisions that are reached by ais explainable to the humans that interact with them. This paper lays out an exploratory approach to developing explainability and trust, describing the specific technologies that we are adopting, the social and organizational context in which we are working, and some of the challenges that we are addressing.

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KW - explainable

KW - planning

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DO - 10.1016/j.clsr.2020.105489

M3 - Article

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VL - 39

JO - Computer Law and Security Review

JF - Computer Law and Security Review

M1 - 105489

ER -

Building Trust in Human-Machine Partnerships

Abstract

Keywords / Materials (for Non-textual outputs)

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