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Global Insights leaders answer this question: What do you see as the aspects or applications of AI that are overhyped and could really fool users, creating potential issues for the quality and credibility of market research?

A new institute focused on safety in artificial intelligence (AI) is being stood up at the National Institute of Standards and Technology (NIST), under the U.S. Department of Commerce.

President Joe Biden’s recent State of the Union Address to Congress touched on a few policy areas of concern to the insights industry, including privacy, artificial intelligence (AI) and research subjects who receive incentives.

Here are the top brand-led sessions generating the most buzz heading into the event, April 8-10 in Atlanta.

Quantitative marketing researchers have widely embraced Maximum Difference Scaling for assessing the importance (or preference) for a set of items. There's also been a surge in interest in academic circles during the past decade+

This month, the Insights Association focused on extensive artificial intelligence legislation at the state level, urgent developments in privacy compliance in California and Washington state, new bills on census issues (including one that would kill the ACS), the insights compliance concerns with sales taxes on SaaS and PaaS, and a couple of new telephone-related bills.

Insights leaders and innovators share the dimensions that they are bullish on, excited for, and generally “love” when it comes to AI.

Founded by Marilyn Gordon Weiss and Cindy Blackstock SIVO, Inc. is a market research and strategy firm specializing in helping businesses understand people.

Kicking off another year of advocacy for the insights industry, the Insights Association focused in January on proposed children’s privacy rules, a new tax bill in Nebraska, turning 529 accounts into career savings plans, a proposed tax on displacing employees with any kind of technology, and the Biden Administration’s extensive new artificial intelligence policies… and lots more!

Rather than directly ask respondents which features they prefer, what’s important to them, or how price-sensitive they are, conjoint analysis questions present realistic-looking market scenarios and simply ask people which product they would choose in each scenario.