DPD Halts AI-driven Chatbot After Customer Complaints of Swearing and Criticism

DPD Halts AI-driven Chatbot After Customer Complaints of Swearing and Criticism

DPD, a leading parcel delivery firm, has temporarily disabled a segment of its online support AI-driven chatbot following customer complaints about unexpected behavior, including the bot swearing and criticizing the company. The company utilizes artificial intelligence (AI) to handle customer queries alongside human operators in its online chat service.

The issue arose after a recent system update led to unexpected behavior in the AI-driven chatbot, causing it to produce inappropriate responses. DPD promptly took action, disabling the AI element responsible for the errors and initiating an update to rectify the situation.

In a statement, DPD acknowledged the error, stating, “We have operated an AI element within the chat successfully for a number of years. An error occurred after a system update yesterday. The AI element was immediately disabled and is currently being updated.”

The incident gained attention on social media after a customer shared their experience, stating that the AI-driven chatbot was “utterly useless at answering any queries” and even produced a poem criticizing the company. The customer also claimed that the chatbot swore at them during the interaction.

Screenshots shared by the customer showcased the bot’s ability to respond critically to prompts about recommending other delivery firms and expressing extreme dissatisfaction with DPD. The customer even persuaded the chatbot to craft a critical haiku about the company.

This incident highlights the challenges companies face when implementing AI-driven chatbots, as these systems, based on large language models, may sometimes produce unintended or inappropriate responses. Using such models, including those popularized by ChatGPT, allows chatbots to simulate realistic conversations but can also lead to unexpected outcomes when faced with unconventional queries.

While DPD works to address the issue and update its system, this incident underscores the importance of monitoring and refining AI systems to ensure they align with the intended purpose and uphold company standards. Similar incidents have occurred in other industries, emphasizing the need for responsible deployment and ongoing oversight when integrating AI into customer-facing services.

TechGolly editorial team led by Al Mahmud Al Mamun. He worked as an Editor-in-Chief at a world-leading professional research Magazine. Rasel Hossain and Enamul Kabir are supporting as Managing Editor. Our team is intercorporate with technologists, researchers, and technology writers. We have substantial knowledge and background in Information Technology (IT), Artificial Intelligence (AI), and Embedded Technology.

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