While we have all heard about biases in AI LLMs regarding gender and race, we wondered what other biases might be lurking beneath the surface that we can’t readily see. On April 9, we dove into a study from Galileo Research & Strategy Consultancy about Americans’ Health & Wellness behaviors and attitudes. Attendees discovered what was learned and its implications for using AI in research studies.
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At this event, members of the ARF Organizational Insights Council presented the results of 21 in-depth interviews (IDIs) with industry leaders that they had conducted from June to November 2025. The purpose of these IDIs was to gain an understanding of the “how” and “why” behind industry shifts uncovered in the Council’s third Organizational Benchmark Survey in 2024. The five Council members – Council Chair Susan Pizarro (Dynata) and Council members Shelley Yang (Ipsos), Remy Spoentgen (Nielsen), John Baro (Transunion), and Maris Cohen (Blackstone), revealed insights on the trends impacting the evolution of insights and analytics team such as the breaking down of silos, shifting roles and responsibilities, and the impact of AI on work distributions and teams.
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The 2016 U.S. presidential election served a big blow to the polling community, as pre-election predictions proved to be dramatically wrong. But is there really a crisis in pre-election polling? Mark Blumenthal, Head of Election Polling at SurveyMonkey, summarizes the AAPOR’s post-election investigation that demonstrated the accuracy of national polls, but weaknesses in state-level polls. Part of the challenge going forward – correcting for sample bias in an age of lower survey response rates.
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Our first, annual benchmark survey looked into the dramatic changes that occurred in advertising and marketing research organizations from 2018-2019. We have delivered a series of reports: the advertiser, agency, research, media & entertainment and consultancy report. Now, the ARF has released the interactive access via a searchable database. Members can interrogate the data and findings themselves and query segmentations such as job title, category, structure, size and investment trends.
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