How Artificial Intelligence-Powered Chatbots Influence Consumer Trust

Artificial Intelligence-driven chatbots are reshaping online consumer interactions, but their impact on trust hinges on design and context.

Artificial intelligence-powered chatbots, once a familiar fixture as website popups, have rapidly expanded in capability and prevalence thanks to the rise of generative Artificial Intelligence systems. Businesses now widely incorporate chatbots into customer service, sales, and outreach, aiming to enhance user experience and streamline operations. However, the design of these digital agents—their level of human-likeness and interface features—can significantly affect whether consumers trust and engage with them.

Scott Schanke, an assistant professor at UWM’s Lubar College of Business, leads research on how the nuances of chatbot design influence public-facing business interactions. In a 2021 study, Schanke and his team collaborated with a secondhand retailer by building chatbots with varying human-like traits, such as telling jokes or using names. While more anthropomorphic bots increased conversion rates, they also led customers to push harder for better deals. In contrast, straightforward, bot-like agents were met with fewer negotiations. In emotionally laden contexts like charity donation, overly human chatbots were less effective, as high emotional cues combined with anthropomorphism deterred potential donors. Logical, less human bots, in these scenarios, produced more positive outcomes.

Schanke’s research also highlights the emerging influence of voice cloning technologies, which can convincingly mimic individual voices with minimal audio input. While these audio deepfakes are sometimes used playfully online, organizations are exploring their potential for enhancing customer service—though not without risks. In experimental studies, participants were more likely to trust bots speaking in their own cloned voice, even when warned about deception, raising concerns about manipulation and fraud. The study found that even explicit disclosure of a bot’s identity did not significantly erode trust. These findings underscore the urgent need for forward-looking regulation and awareness as generative Artificial Intelligence technology grows, to safeguard consumers and inform effective, ethical chatbot deployment strategies.

71

Impact Score

UK and EU Artificial Intelligence regulatory outlook for May 2026

The UK is moving ahead with targeted Artificial Intelligence measures in policing, online safety, cyber security and copyright policy, while the EU is refining how the EU Artificial Intelligence Act will apply in practice. Consultations, new offences and implementation deadlines are shaping the next phase of compliance on both sides.

Germany sets out national implementation of the Artificial Intelligence Act

Germany has published a draft law to implement the European Artificial Intelligence Act through new supervisory structures, clearer institutional responsibilities, and measures designed to support innovation. The proposal puts the Federal Network Agency at the center of enforcement while preserving sector-specific oversight in sensitive fields.

ECB warns banks about new Artificial Intelligence security risks

The European Central Bank has called major banks to an emergency meeting over cybersecurity risks tied to advanced Artificial Intelligence models. Regulators want banks to speed up security updates as newer tools make it easier to find and exploit vulnerabilities.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.