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For the majority of the companies #surveyed, the sharp appreciation of the #Swiss franc against the US dollar had no impact or even a positive impact, chart #UBS Research

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Graphical abstract of the article: Public opinion on artificial intelligence (AI) plays a pivotal role in shaping trust and AI alignment, ethical adoption, and the development equitable policy frameworks.
This study investigates expectations, risk-benefit tradeoffs, and value assessments as determinants of societal acceptance of AI. 
Using a nationally representative sample (N=1100) from Germany, we  examined mental models of AI and potential biases.
 Participants evaluated 71 AI-related scenarios across domains such as autonomous driving, medical care, art, politics, warfare, and societal divides, assessing their expected likelihood, perceived risks, benefits, and overall value.
We present ranked evaluations alongside visual mappings illustrating the risk-benefit tradeoffs.
Our findings suggest that while many scenarios were considered likely, they were often associated with high risks, limited benefits, and low overall value.
Regression analyses revealed that 96.5\% ($r^2=0.965$) of the variance in value judgments was explained by risks ($\beta = -0.490$) and, more strongly, benefits ($\beta = +0.672$), with no significant relationship to expected likelihood.
Demographics and personality traits, including age, gender, and AI readiness, influenced perceptions, highlighting the need for targeted AI literacy initiatives.
These findings offer actionable insights for researchers, developers, and policymakers, highlighting the need to communicate tangible benefits and address public concerns to foster responsible and inclusive AI adoption.
Future research should explore cross-cultural differences and longitudinal changes in public perception to inform global AI governance.

Graphical abstract of the article: Public opinion on artificial intelligence (AI) plays a pivotal role in shaping trust and AI alignment, ethical adoption, and the development equitable policy frameworks. This study investigates expectations, risk-benefit tradeoffs, and value assessments as determinants of societal acceptance of AI. Using a nationally representative sample (N=1100) from Germany, we examined mental models of AI and potential biases. Participants evaluated 71 AI-related scenarios across domains such as autonomous driving, medical care, art, politics, warfare, and societal divides, assessing their expected likelihood, perceived risks, benefits, and overall value. We present ranked evaluations alongside visual mappings illustrating the risk-benefit tradeoffs. Our findings suggest that while many scenarios were considered likely, they were often associated with high risks, limited benefits, and low overall value. Regression analyses revealed that 96.5\% ($r^2=0.965$) of the variance in value judgments was explained by risks ($\beta = -0.490$) and, more strongly, benefits ($\beta = +0.672$), with no significant relationship to expected likelihood. Demographics and personality traits, including age, gender, and AI readiness, influenced perceptions, highlighting the need for targeted AI literacy initiatives. These findings offer actionable insights for researchers, developers, and policymakers, highlighting the need to communicate tangible benefits and address public concerns to foster responsible and inclusive AI adoption. Future research should explore cross-cultural differences and longitudinal changes in public perception to inform global AI governance.

New #research: What do people anticipate from #AI across many domains? #Surveyed 1,100 people in Germany: High prospects, high perceived #risks, limited #benefits and low perceived #value. Still, benefits outweigh risks in shaping value judgments. Visual results... #science
doi.org/10.1016/j.te...

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#economists #surveyed by #Bloomberg have pushed back their expectations for rate #hikes, with most seeing the possibility #BoJ may have to stay on hold for the rest of 2025. The 2nd round of US - #Japan #trade talks, expected mid-week, may shed light on the tariff front.

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Leaders' debate likely won't influence most people's votes, Vote Compass data suggests | CBC News Most Vote Compass users who watched Thursday night's federal leaders' debate say it won't or likely won't influence their vote, while a plurality of viewers can't identify a clear winner, according to...

Leaders' debate likely won't influence most people's votes, Vote Compass data suggests
Plurality of those surveyed said debate had no clear winner
#CBC #Data #debate #Vote #Surveyed #CBC

Michael Woods · CBC News · Posted: Apr 18, 2025 NDT | Last Updated: 3 hours ago
www.cbc.ca/news/politic...

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The potential for higher #inflation remains a key concern among people #surveyed by University of #Michigan - #respondents said in March they think prices will rise by 5% over the next year, up from 2.8% expected inflation at the end of 2024, chart @WSJ www.wsj.com/economy/cons...

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