Alternative Explanations: Can AI Rethink Its Own Reasoning?
Using LLMs to develop competing interpretations and reduce confirmation bias.
A weekly round-up of the industry’s top stories and research curated by the ARF.
Using LLMs to develop competing interpretations and reduce confirmation bias.
Marketing in the age of AI was the topic of the recent MSI Summit. Researchers presented case studies and analyzed how best to use LLMs.
This research demonstrates how important it is for content providers and advertisers to gain a deep understanding of their audiences’ and consumers’ motivations. Case in point: women’s sports.
Podcasts are an audio medium, right? New data suggests that they are evolving into an audio-visual hybrid medium.
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How do AI models answer a question about the dangers of AI? Are they objective and fair, or do they defend themselves against criticism? We conducted an experiment to find out.
Attention is a prerequisite for ad impact. Alignment between content and ad is likely to make ads more effective. So, can generative AI help increase attention and improve context effects? Researchers have developed a machine learning model that selects ads with higher attention levels and the optimal context.
The focus of discussion on young people’s viewing habits is often their preference for short-form content and their limited attention spans. But are the length of a video and viewers’ attention span really the main drivers of content choice? Read more »
Synthetic research is starting to revolutionize how marketers and advertisers generate insights. It’s faster and cost-effective. But is it better?
An analysis of social and mainstream media indicates that many Americans see AI as yet another source of privacy and data protection concerns.