Polling response rates are dropping. AI chatbots could be the solution.
Sep 19, 2024
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In this enlightening discussion, guest Bruce Schneier, a renowned lecturer on security and privacy at the Harvard Kennedy School, tackles the modern challenges of polling amidst declining response rates. He proposes the use of AI chatbots to revolutionize data collection and enhance polling accuracy. Bruce dives into how AI can evoke diverse responses, navigate public skepticism, and potentially reshape market research. By blending AI and traditional methods, he advocates for a future where polling can accurately reflect public opinion.
Declining response rates in polling indicate a pressing need for innovative methods to accurately capture public opinion in elections.
Utilizing AI in polling could enhance data collection and analysis, although it presents challenges like potential biases in training data.
Deep dives
Challenges in Traditional Polling
Collecting polling data has become increasingly difficult, primarily due to declining response rates from the public. Many polls now experience significantly low engagement; for instance, a recent live telephone survey reported a mere 2% response rate. This challenge has resulted in a skepticism towards polling data, as the inaccuracies in past election predictions have led people to question its reliability. Consequently, there is a growing need for innovative approaches to polling that can better reflect public opinion in today's digital age.
AI as a Potential Solution for Polling
Integrating artificial intelligence into polling methods presents a promising way to enhance data collection and analysis. AI can generate personas that mirror various demographic characteristics, allowing pollsters to simulate responses and gather a wide array of answers without relying solely on human participants. However, limitations exist, such as potential biases in the training data that may lead to outdated or inaccurate reflections of current opinions. The future of polling may involve a hybrid approach, combining human input with AI-driven analyses to achieve more accurate and representative results.
In this tense election year, polling is top of mind. But collecting polling data has become harder. It often relies on people actually answering the phone and then speaking frankly to a pollster, both of which are becoming less common. The result has been data that is less predictive, and repeated misses in recent elections have made the public much more skeptical. Polling, it seems, needs an update for the digital age. Marketplace’s Meghan McCarty Carino spoke to Bruce Schneier, lecturer at the Harvard Kennedy School, who says AI can help.
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