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Artificial Intelligence (AI)

Concept Testing with Digital Twins
Innovation Publication

Concept Testing with Digital Twins

By using AI-powered virtual consumers, digital twin models provide accurate predictions of product acceptance in mere hours, not weeks, allowing for the instant mass screening of product ideas.
Chart showing that 78 percent of Republicans support AI safety standards
Artificial Intelligence (AI) Survey

There’s strong bipartisan support for Biden’s executive order on AI

More than 70% of Democrats and Republicans support developing standards to test that AI systems are safe, according to new polling from the Ipsos Consumer Tracker
55 percent of americans are intersted in generative AI
Consumer Behavior Survey

Americans learning AI are mostly teaching themselves

Familiarity with artificial intelligence is high across age groups, but younger people seem to be actually using it more, according to the Ipsos Consumer Tracker
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Public opinion Survey

Americans are hopeful automation and robotics technology will have a positive impact on the U.S. economy

Though, a new Ipsos survey finds that many are concerned about the impact this technology will have on the job market and job security
Nearly half of workers say they use AI at work
Artificial Intelligence (AI) Survey

Nearly half of workers in three countries say they use AI at work

Survey of workers in Australia, United Kingdom and United States, ages 21-65, working full time or with 2+ part-time jobs
Conversations with AI Part II: Unveiling AI quality in qualitative workstreams
Artificial Intelligence (AI) Publication

Conversations with AI Part II: Unveiling AI quality in qualitative workstreams

In this white paper we discuss recent research-on-research to explore using generative AI within qualitative research.
Insights Association IDEA Forum
Artificial Intelligence (AI) Event

Insights Association IDEA Forum

The Insights Association is hosting a half-day virtual IDEA Forum – Developing & Applying AI Inclusively – to explore these critical issues and examine how to bring an inclusive, equitable, and accessible lens to AI deployment in our insights and research practices.
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