@tylerromualdi.bsky.social
Ph.D. Candidate (ABD) in the Department of Political Science at Western University.
Special thanks to @anne-imz.bsky.social, the grad students/faculty involved with the CSDC at McGill University, the @clessn.bsky.social research team at Université Laval, and our discussants at past conferences.
We are very grateful for the constructive feedback and thought-provoking questions! 🙂
We are very grateful for the constructive feedback and thought-provoking questions! 🙂
April 22, 2025 at 1:36 PM
Special thanks to @anne-imz.bsky.social, the grad students/faculty involved with the CSDC at McGill University, the @clessn.bsky.social research team at Université Laval, and our discussants at past conferences.
We are very grateful for the constructive feedback and thought-provoking questions! 🙂
We are very grateful for the constructive feedback and thought-provoking questions! 🙂
As AI’s capabilities expand, opportunities to study the dynamic nature of citizens' risk perceptions and their effects on human behaviour appear boundless.
We hope our dread-controllability framework motivates deeper theoretical and empirical exploration of how citizens perceive AI and its risks.
We hope our dread-controllability framework motivates deeper theoretical and empirical exploration of how citizens perceive AI and its risks.
April 22, 2025 at 1:35 PM
As AI’s capabilities expand, opportunities to study the dynamic nature of citizens' risk perceptions and their effects on human behaviour appear boundless.
We hope our dread-controllability framework motivates deeper theoretical and empirical exploration of how citizens perceive AI and its risks.
We hope our dread-controllability framework motivates deeper theoretical and empirical exploration of how citizens perceive AI and its risks.
We validate these measures by regressing each scale on covariates linked to AI attitudes.
As shown below, key cross-national predictors of AI dread and controllability concerns include trust in scientists, conspiracy thinking, and beliefs that technological change will harm one’s job prospects.
As shown below, key cross-national predictors of AI dread and controllability concerns include trust in scientists, conspiracy thinking, and beliefs that technological change will harm one’s job prospects.
April 22, 2025 at 1:35 PM
We validate these measures by regressing each scale on covariates linked to AI attitudes.
As shown below, key cross-national predictors of AI dread and controllability concerns include trust in scientists, conspiracy thinking, and beliefs that technological change will harm one’s job prospects.
As shown below, key cross-national predictors of AI dread and controllability concerns include trust in scientists, conspiracy thinking, and beliefs that technological change will harm one’s job prospects.
The items for the AI Dread and AI Controllability Concern Measures.
April 22, 2025 at 1:34 PM
The items for the AI Dread and AI Controllability Concern Measures.
Using data from 🇨🇦 and 🇯🇵, we develop four-item dread and controllability measures and identify the single best item to use for researchers with limited survey space.
The scales are highly reliable and largely uncorrelated (r = 0.05 in Canada, 0.01 in Japan). We summarize these new measures below.
The scales are highly reliable and largely uncorrelated (r = 0.05 in Canada, 0.01 in Japan). We summarize these new measures below.
April 22, 2025 at 1:33 PM
Using data from 🇨🇦 and 🇯🇵, we develop four-item dread and controllability measures and identify the single best item to use for researchers with limited survey space.
The scales are highly reliable and largely uncorrelated (r = 0.05 in Canada, 0.01 in Japan). We summarize these new measures below.
The scales are highly reliable and largely uncorrelated (r = 0.05 in Canada, 0.01 in Japan). We summarize these new measures below.
For those interested in some real-world developments surrounding these ideas, two Guardian articles linked below are quite fascinating:
www.theguardian.com/sport/2022/j...
www.theguardian.com/technology/2...
www.theguardian.com/sport/2022/j...
www.theguardian.com/technology/2...
Chess robot grabs and breaks finger of seven-year-old opponent
Moscow incident occurred because child ‘violated’ safety rules by taking turn too quickly, says official
www.theguardian.com
April 22, 2025 at 1:33 PM
For those interested in some real-world developments surrounding these ideas, two Guardian articles linked below are quite fascinating:
www.theguardian.com/sport/2022/j...
www.theguardian.com/technology/2...
www.theguardian.com/sport/2022/j...
www.theguardian.com/technology/2...
We suggest that controllability concerns stem from:
(a) unease about AI appearing outright out-of-control akin to Frankenstein's monster type scenarios;
(b) uncertainty over who controls it, seen in debates about AI capitalism and authoritarian regimes using AI to push revisionist narratives.
(a) unease about AI appearing outright out-of-control akin to Frankenstein's monster type scenarios;
(b) uncertainty over who controls it, seen in debates about AI capitalism and authoritarian regimes using AI to push revisionist narratives.
April 22, 2025 at 1:33 PM
We suggest that controllability concerns stem from:
(a) unease about AI appearing outright out-of-control akin to Frankenstein's monster type scenarios;
(b) uncertainty over who controls it, seen in debates about AI capitalism and authoritarian regimes using AI to push revisionist narratives.
(a) unease about AI appearing outright out-of-control akin to Frankenstein's monster type scenarios;
(b) uncertainty over who controls it, seen in debates about AI capitalism and authoritarian regimes using AI to push revisionist narratives.
If you're like me, some ideas are better contextualized through memes or playful references, like this creative cartoon that loosely illustrates a key component of our dread argument.
Image credit: Joe Heller.
Image credit: Joe Heller.
April 22, 2025 at 1:32 PM
If you're like me, some ideas are better contextualized through memes or playful references, like this creative cartoon that loosely illustrates a key component of our dread argument.
Image credit: Joe Heller.
Image credit: Joe Heller.
We theorize that citizens’ dread of AI stems from:
a) Its impact on employability, inequality, and the disappearance of professions.
b) Its capacity to match or surpass human intellect/ undermine human initiative and independent thinking.
c) Its potential to pose existential threats to humanity.
a) Its impact on employability, inequality, and the disappearance of professions.
b) Its capacity to match or surpass human intellect/ undermine human initiative and independent thinking.
c) Its potential to pose existential threats to humanity.
April 22, 2025 at 1:31 PM
We theorize that citizens’ dread of AI stems from:
a) Its impact on employability, inequality, and the disappearance of professions.
b) Its capacity to match or surpass human intellect/ undermine human initiative and independent thinking.
c) Its potential to pose existential threats to humanity.
a) Its impact on employability, inequality, and the disappearance of professions.
b) Its capacity to match or surpass human intellect/ undermine human initiative and independent thinking.
c) Its potential to pose existential threats to humanity.
Dread captures the perceived magnitude of risk associated with AI, while controllability reflects the perceived ability to manage its development and consequences.
We propose a new framework centered on these dimensions and introduce two measures: the AI Dread and AI Controllability Concern Scale.
We propose a new framework centered on these dimensions and introduce two measures: the AI Dread and AI Controllability Concern Scale.
April 22, 2025 at 1:31 PM
Dread captures the perceived magnitude of risk associated with AI, while controllability reflects the perceived ability to manage its development and consequences.
We propose a new framework centered on these dimensions and introduce two measures: the AI Dread and AI Controllability Concern Scale.
We propose a new framework centered on these dimensions and introduce two measures: the AI Dread and AI Controllability Concern Scale.
Studies often link AI attitudes to demographics, predispositions, or framing. Yet, the factors structuring these beliefs remain contested.
We argue that a growing literature implicitly highlights how citizens’ views of AI and its risks stem from a sense of dread and a perceived lack of control.
We argue that a growing literature implicitly highlights how citizens’ views of AI and its risks stem from a sense of dread and a perceived lack of control.
April 22, 2025 at 1:31 PM
Studies often link AI attitudes to demographics, predispositions, or framing. Yet, the factors structuring these beliefs remain contested.
We argue that a growing literature implicitly highlights how citizens’ views of AI and its risks stem from a sense of dread and a perceived lack of control.
We argue that a growing literature implicitly highlights how citizens’ views of AI and its risks stem from a sense of dread and a perceived lack of control.
AI has immense potential to drive innovation, but recent news highlights its complex societal role—from attempts to “resurrect” politicians to sway elections, to using AI to suppress voter turnout or win art competitions. These issues raise a key question: how do lay citizens view AI and its risks?
April 22, 2025 at 1:30 PM
AI has immense potential to drive innovation, but recent news highlights its complex societal role—from attempts to “resurrect” politicians to sway elections, to using AI to suppress voter turnout or win art competitions. These issues raise a key question: how do lay citizens view AI and its risks?
If you have any questions or would like to discuss this further, please feel free to reach out to me or Jack.
Let's dive into the data! #CdnPoli #Election2025
Let's dive into the data! #CdnPoli #Election2025
April 3, 2025 at 3:37 PM
If you have any questions or would like to discuss this further, please feel free to reach out to me or Jack.
Let's dive into the data! #CdnPoli #Election2025
Let's dive into the data! #CdnPoli #Election2025
After many years of weekly Zoom hackathon sessions, we're excited to release this!
We'll continue updating the resource (soon with issue attitudes) and hope it helps illuminate key demographic trends, regional shifts, and electoral changes from postwar realignments to contemporary divides.
We'll continue updating the resource (soon with issue attitudes) and hope it helps illuminate key demographic trends, regional shifts, and electoral changes from postwar realignments to contemporary divides.
April 3, 2025 at 3:37 PM
After many years of weekly Zoom hackathon sessions, we're excited to release this!
We'll continue updating the resource (soon with issue attitudes) and hope it helps illuminate key demographic trends, regional shifts, and electoral changes from postwar realignments to contemporary divides.
We'll continue updating the resource (soon with issue attitudes) and hope it helps illuminate key demographic trends, regional shifts, and electoral changes from postwar realignments to contemporary divides.
Special thanks to Dave Armstrong for leading the way with the R package and Shiny App! The Shiny is available here: quantoid.shinyapps.io/cvpa_app/
Canadian Voting and Attitudes Project - Voting Analysis
quantoid.shinyapps.io
April 3, 2025 at 3:35 PM
Special thanks to Dave Armstrong for leading the way with the R package and Shiny App! The Shiny is available here: quantoid.shinyapps.io/cvpa_app/
We also hope the data will be a helpful tool for teaching and reaching the wider public. It allows users to select a specific demographic variable, choose parties, and view trends in vote intent/choice or explore the cross-classification of two variables, such as gender and education (among others)
April 3, 2025 at 3:35 PM
We also hope the data will be a helpful tool for teaching and reaching the wider public. It allows users to select a specific demographic variable, choose parties, and view trends in vote intent/choice or explore the cross-classification of two variables, such as gender and education (among others)
The R package is available for download here: github.com/davidaarmstr....
cvpa/DESCRIPTION at main · davidaarmstrong/cvpa
Contribute to davidaarmstrong/cvpa development by creating an account on GitHub.
github.com
April 3, 2025 at 3:32 PM
The R package is available for download here: github.com/davidaarmstr....
The first function, wtd_vote, creates weighted estimates of party support for specified demographic groups, while gap_analysis generates statistical estimates of the difference in support among demographic group members for each party. Each figure above was created using these functions.
April 3, 2025 at 3:32 PM
The first function, wtd_vote, creates weighted estimates of party support for specified demographic groups, while gap_analysis generates statistical estimates of the difference in support among demographic group members for each party. Each figure above was created using these functions.
In addition, we’ve created a new R package, Canadian Voting and Policy Attitudes ("CVPA"). The CVPA package focuses on providing weighted party support by demographic groups over time. It contains the raw data and two functions designed to be particularly helpful for researchers.
April 3, 2025 at 3:32 PM
In addition, we’ve created a new R package, Canadian Voting and Policy Attitudes ("CVPA"). The CVPA package focuses on providing weighted party support by demographic groups over time. It contains the raw data and two functions designed to be particularly helpful for researchers.
Special thanks to Alex Cooper at Queen's University for making the dataset publicly available on the Canadian Opinion Research Archive! Those interested can download the data here: doi.org/10.5683/SP3/...
Canadian Vote Intention Dataset
The Canadian Vote Intention Dataset is a new and harmonized database spanning nearly eight decades (1945–2023) of public opinion surveys from Gallu...
doi.org
April 3, 2025 at 3:31 PM
Special thanks to Alex Cooper at Queen's University for making the dataset publicly available on the Canadian Opinion Research Archive! Those interested can download the data here: doi.org/10.5683/SP3/...