In Hancock et al. AI-Mediated Communication: Definition, Research Agenda, and Ethical Considerations, artificial intelligence-mediated communication (AI-MC) is defined and the future implications of AI-MC are discussed.
Artificial intelligence-mediated communication is defined as “interpersonal communication in which an intelligent agent operates on behalf of a communication by modifying, augmenting, or generating messages to accomplish communication goals.” Computer-mediated communication (CMC) is said to have revolutionized interpersonal communication, and now CMC is expanding to include AI-MC. AI has been used more frequently in text-based communication and can be seen in forms such as auto-correct, predictive text, and grammar correction. It is predicted that future AI-MC will be able to do more than just these examples; AI will be able to generate message conversations and create full online profiles. Ultimately, AI-MC could completely change existing CMC theories and “change social heuristics.”
What is interesting about AI-MC, unlike CMC, is that there are multiple dimensions such as magnitude, media type, optimization goal, autonomy, and role orientation. These dimensions highlight the capabilities of AI-MC and show where there is room for growth in the field. Additionally, recent research shows that AI-MC can both positively and negatively affect communication. On one hand, AI-MC is likely to impact how people present themselves online, but on the other, AI-MC can shape human language and thought. Regarding AI-MC, it is important to look at both of the social and ethical implications of the technologies as well. There may be biases and transparency issues that could affect how people react to certain technologies. AI-MC is transforming CMC and is quickly becoming more prominent on technological platforms. It has the potential to improve human communication and can impact “areas such as interpersonal relationships to political decision-making.”
Hancock et al.’s perspectives are really interesting and while they suggest there needs to be more research on AI-MC for a more diverse discussion on the topic, I think all of their points are completely valid. AI-MC will change CMC and for the future, we need to understand the foundational complex of AI-MC systems on a wider scale before implementation. I am curious where this field may develop in the future and how long it will take for AI-MC to transform CMC.