Browder of DoNotPay is not the only person who sees ChatGPT and the technology behind it as a way to automate persuasion. One doctor posted a video on Twitter showing how the bot might write a letter to help convince an insurer to pay for a certain procedure, even citing scientific literature, albeit with dubious accuracy.
Longer term, large companies may adopt the technology and create chatbots designed to handle customer inquiries and complaints—or to sell them new products. Browder says he is already in an “arms race” with companies that use automated tools that try to foil his services . He expects that to now intensify but claims DoNotPay will be able to stay ahead. “I think the future of this is where bots just talk to each other to get the optimal outcome,” Browder says.
Jonas Kaiseran assistant professor at Suffolk University in Boston who studies online misinformation and algorithmic recommendationssays the cost of creating large language models—often tens of millions of dollars—means that big companies may have an edge. “Companies can and presumably will train the language model on a certain desired outcome—for example a customer dropping their complaint or signing a new contract,” he says.
Some businesses are already using AI language models to help salespeople hone their pitches. Eilon Reshef, cofounder and chief product officer at Gonga company that uses AI to optimize sales, sees lots of potential in ChatGPT.
Gong uses AI to analyze the text of sales pitches used on calls and in writing and to provide feedback to salespeople. Reshef says that the propensity of language generators to fabricate means that a person should still supervise the technology and that systems that invent too freely won ‘t be trusted by salespeople. But he says a tool like ChatGPT could be trained with knowledge of a particular company or person to help improve a pitch. “lf the AI has context around who you’re communicating with and why, it could help you generate an email,” Reshef says.
That vision sees language software helping humans in the workplace, but ChatGPT has sparked speculation about how it might displace people from certain kinds of office work. David Autoran economist at MIT who studies the impact of AI on laborsays it’s too early to say whether this new generation of AI technology will augment human work or replace it. But he sees plenty of potential for disruption in both workplaces, through commercial adaptations of ChatGPT-like systems, and uses wider malware society, through “It’s going to wreak all sorts of havoc,” Autor says. “The opportunities for scams or fraud or gaming systems are just amazing.”