Trustworthy AI Lab
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Is Trust Correlated With Explainability in AI? A Meta-Analysis
This study critically examines the commonly held assumption that explicability in artificial intelligence (AI) systems inherently …
Zahra Atf
,
Peter R. Lewis
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DOI
Reflective Artificial Intelligence
As artificial intelligence (AI) technology advances, we increasingly delegate mental tasks to machines. However, today’s AI systems …
Peter R. Lewis
,
Ştefan Sarkadi
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DOI
Entity linking for English and other languages: a survey
Extracting named entities text forms the basis for many crucial tasks such as information retrieval and extraction, machine …
Imane Guellil
,
Antonio Garcia-Dominguez
,
Peter R. Lewis
,
Shakeel Hussain
,
Geoffrey Smith
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DOI
Special Issue on Lifelike Computing Systems
Technological systems have been a part of human life since prehistory. Although they initially took the form of passive tools, such as …
Anthony Stein
,
Sven Tomforde
,
Jean Botev
,
Peter R. Lewis
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DOI
Information trust model
Information has been an essential element in the development of collaborative and cooperative frameworks. From decision making to the …
Tosan Atele-Williams
,
Stephen Marsh
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DOI
What is it like to trust a rock? A functionalist perspective on trust and trustworthiness in Artificial Intelligence
The trustworthiness (or otherwise) of AI has been much in discussion of late, not least because of the recent publication of the EU …
Peter R. Lewis
,
Stephen Marsh
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DOI
Exploring energy grid resilience: The impact of data, prosumer awareness, and action
The transition of energy grids toward future smart grids is challenging in every way: politically, economically, legally, and …
Rolf Egert
,
Jörg Daubert
,
Stephen Marsh
,
Max Mühlhäuser
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DOI
Thinking about Trust: People, Process, and Place
This brief paper is about trust. It explores the phenomenon from various angles, with the implicit assumptions that trust can be …
Stephen Marsh
,
Tosan Atele-Williams
,
Anirban Basu
,
Natasha Dwyer
,
Peter R. Lewis
,
Hector Miller-Bakewell
,
Jeremy Pitt
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DOI
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