Bogus custom campaign promises
My research on the 2020 presidential election revealed that the choice voters made between Biden and Trump was driven by their perceptions of which candidate “proposes realistic solutions to problems” and “says out loud what I am thinking,” based on 75 items in a survey. These are two of the most important qualities for a candidate to have to
project a presidential image and win.
AI chatbots, such as
ChatGPT by OpenAI,
Bing Chat by Microsoft, and
Bard by Google, could be used by politicians to generate customized campaign promises deceptively microtargeting voters and donors.
Currently, when people scroll through news feeds, the articles are logged in their computer history, which are
tracked by sites such as Facebook. The user is tagged as liberal or conservative, and also
tagged as holding certain interests. Political campaigns can place an ad spot in real time on the person’s feed with a customized title.
Campaigns can use AI to develop a repository of articles written in different styles making different campaign promises. Campaigns could then embed an AI algorithm in the process – courtesy of automated commands already plugged in by the campaign – to generate bogus tailored campaign promises at the end of the ad posing as a news article or donor solicitation.
ChatGPT, for instance, could hypothetically be prompted to add material based on text from the last articles that the voter was reading online. The voter then scrolls down and reads the candidate promising exactly what the voter wants to see, word for word, in a tailored tone. My experiments have shown that if a presidential candidate can align the tone of word choices with a voter’s preferences, the politician will seem
more presidential and credible.