Honglei Li, Northumbria University, United Kingdom

Jian Mou, Pusan National University, Republic of Korea

Yuzhu Li, University of Massachusetts Dartmouth, United States

Track call

 After many years of discussions and developments of artificial intelligence (AI) technologies, products in the natural language process area start to be mature, which is represented by the conversational AI products. A typical conversational AI product is supported by a series of AI algorithms including neuro networks, classifications, sentiment analysis that could parse, analyse, and model human languages (Grimes, Schuetzler, & Giboney, 2021; Ng & Lin, 2022; Xiao et al., 2020). The most well-known chatbot namely ChatGPT developed by the OpenAI company gains massive attentions recently.  Compared to the commercial chatbot that focus mostly on customer support for checking order progress, delivery status, etc, ChatGPT gains wider public attentions because it could reply or chat with human beings on a broad range of topics like an encyclopaedia or artificial brain (Chandra, Shirish, & Srivastava, 2022; Grimes et al., 2021). How shall we face the conversational AI technologically, strategically, managerially? It is obvious that the deployment of conversational AI in chat also raises concerns about its ethical and social implications (Gkinko & Elbanna, 2023; Hu & Lu, 2021). For example, chatbots may perpetuate biases, invade privacy, or deceive users. Therefore, it is crucial to examine both the opportunities and threats of conversational AI empowered by chatBots, and to propose solutions that balance innovation with responsibility (Arrieta et al., 2020). This track aims at the conversational AI movement from multiple angles, i.e., technical, economically, strategically, and theoretically.

Track areas

  • Evaluation of conversational AI in chat, including metrics, benchmarks, and user studies
  • Applications of conversational AI in chats, such as personalized recommendations, mental health support, or language learning
  • Design and usability of chat-based interfaces, including natural language understanding, dialogue management, and multimodal interaction.
  • Ethical and social implications of conversational AI in chats, such as fairness, transparency, accountability, or human-AI collaboration
  • Challenges and opportunities of conversational AI in chat for specific domains, such as education, journalism, or entertainment
  • Human behavior interactions with conversational AI like ChatGPT
  • Innovation theories and management issues related with conversational AI like ChatGPT
  • Business process change triggered by conversational AI or ChatGPT
  • Development methodologies related with conversational AI like ChatGPT
  • Future directions and open problems in conversational AI research and development, with a focus on chat-based interfaces

References

Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., . . . Benjamins, R. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information fusion, 58, 82-115.

Chandra, S., Shirish, A., & Srivastava, S. C. (2022). To Be or Not to Be… Human? Theorizing the Role of Human-Like Competencies in Conversational Artificial Intelligence Agents. Journal of Management Information Systems, 39(4), 969-1005.

Gkinko, L., & Elbanna, A. (2023). Designing trust: The formation of employees’ trust in conversational AI in the digital workplace. Journal of Business Research, 158, 113707.

Grimes, G. M., Schuetzler, R. M., & Giboney, J. S. (2021). Mental models and expectation violations in conversational AI interactions. Decision Support Systems, 144, 113515.

Hu, P., & Lu, Y. (2021). Dual humanness and trust in conversational AI: A person-centered approach. Computers in Human Behavior, 119, 106727.

Ng, Y.-L., & Lin, Z. (2022). Exploring conversation topics in conversational artificial intelligence–based social mediated communities of practice. Computers in Human Behavior, 134, 107326.

Xiao, Z., Zhou, M. X., Liao, Q. V., Mark, G., Chi, C., Chen, W., & Yang, H. (2020). Tell me about yourself: Using an AI-powered chatbot to conduct conversational surveys with open-ended questions. ACM Transactions on Computer-Human Interaction (TOCHI), 27(3), 1-37.