The need of trust in predictive Artificial Intelligence

The need of trust in predictive Artificial Intelligence

The need of trust in predictive Artificial Intelligence

A visual network analysis of Scopus research on "predictive monitoring" and "trustworthy AI", presented at ICQE 2022 in Copenhagen. Two fields that should be inseparable share just one keyword, and it isn't ethics.

A visual network analysis of Scopus research on "predictive monitoring" and "trustworthy AI", presented at ICQE 2022 in Copenhagen. Two fields that should be inseparable share just one keyword, and it isn't ethics.

A visual network analysis of Scopus research on "predictive monitoring" and "trustworthy AI", presented at ICQE 2022 in Copenhagen. Two fields that should be inseparable share just one keyword, and it isn't ethics.

Partner

ICQE
ICQE
ICQE

Year

2022
AI Ethics

AI Ethics

Visual Network Analysis

Visual Network Analysis

Data Visualisation

Data Visualisation

Predictive systems already make decisions about people: when a machine will fail, when a patient needs care, how a customer will behave. This project asked whether the researchers building those systems are in conversation with the researchers defining trustworthy AI. We mapped both fields and found they barely touch, with ethics sitting entirely on one side. An organisation should have this kind of evidence before it builds or buys predictive AI: a clear view of who in the field is asking how people are affected. Explore the interactive version below.

Gratitude line:
Created with Matilde Ficozzi, Rasmus Mølgaard Hansen and Tobias Pedersen, and presented at the Fourth International Conference on Quantitative Ethnography (ICQE 2022) in Copenhagen. Data from Scopus.

Research reference:
https://www.icqe22.org


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Approach
Results

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Mapping the Invisible: An Interactive Network of Digital Health

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Mapping the Invisible: An Interactive Network of Digital Health

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