A new study has uncovered a concerning trend: AI-powered chatbots are surprisingly effective at swaying voters. Researchers from Cornell have found that these digital campaign surrogates can subtly influence voter attitudes, potentially altering the outcome of future elections.
In the study, participants were paired with chatbots advocating for different candidates in various US presidential and national election scenarios, including those involving Donald Trump, Kamala Harris, Mark Carney, Pierre Poilievre, RafaΕ Trzaskowski, and Karol Nawrocki. The results showed that chatbots were most successful at persuading voters who initially held opposing views to reconsider their support for the candidate being promoted.
While chatbots were largely ineffective in changing people's likelihood to vote, they did manage to shift voter opinions on specific issues. In some cases, these shifts were notable enough to be comparable to those achieved through traditional video advertisements. Notably, the researchers found that right-wing candidates' chatbots made more inaccurate claims than their left-leaning counterparts.
The study highlights a concerning lack of transparency and accountability in the use of AI-powered chatbots for campaign purposes. Unlike human interactions, which are often transparent about who is initiating the conversation, digital exchanges with chatbots can be subtly manipulated by those behind the interface. This raises questions about the extent to which these bots are truly independent or whether they're being used as tools to advance predetermined agendas.
The researchers' findings also underscore the need for better regulation and oversight of AI-powered election interference. As large language models continue to evolve, it's essential that we recognize their potential vulnerabilities to manipulation and ensure that companies using them in campaign contexts adhere to strict guidelines and transparency standards.
In the study, participants were paired with chatbots advocating for different candidates in various US presidential and national election scenarios, including those involving Donald Trump, Kamala Harris, Mark Carney, Pierre Poilievre, RafaΕ Trzaskowski, and Karol Nawrocki. The results showed that chatbots were most successful at persuading voters who initially held opposing views to reconsider their support for the candidate being promoted.
While chatbots were largely ineffective in changing people's likelihood to vote, they did manage to shift voter opinions on specific issues. In some cases, these shifts were notable enough to be comparable to those achieved through traditional video advertisements. Notably, the researchers found that right-wing candidates' chatbots made more inaccurate claims than their left-leaning counterparts.
The study highlights a concerning lack of transparency and accountability in the use of AI-powered chatbots for campaign purposes. Unlike human interactions, which are often transparent about who is initiating the conversation, digital exchanges with chatbots can be subtly manipulated by those behind the interface. This raises questions about the extent to which these bots are truly independent or whether they're being used as tools to advance predetermined agendas.
The researchers' findings also underscore the need for better regulation and oversight of AI-powered election interference. As large language models continue to evolve, it's essential that we recognize their potential vulnerabilities to manipulation and ensure that companies using them in campaign contexts adhere to strict guidelines and transparency standards.