AI-Mediated Communication: Definition, Research Agenda, and Ethical Considerations

By Jeffrey T. Hancock, Mor Naaman, Karen E. C. Levy. J. Comput. Mediat. Commun., 2020

528 citations recorded by the source corpus.

We define Artificial Intelligence-Mediated Communication (AI-MC) as interpersonal communication in which an intelligent agent operates on behalf of a communicator by modifying, augmenting, or generating messages to accomplish communication goals. The recent advent of AI-MC raises new questions about how technology may shape human communication and requires re-evaluation – and potentially expansion – of many of Computer-Mediated Communication’s (CMC) key theories, frameworks, and findings. A research agenda around AI-MC should consider the design of these technologies and the psychological, linguistic, relational, policy and ethical implications of introducing AI into human–human communication. This article aims to articulate such an agenda.

Subfields: Artificial Intelligence, Health Informatics, Safety Research

View Paper: https://www.semanticscholar.org/paper/0efdc031c42c031f3092f3a4f85ae2e0a6c9cac4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Health Informatics

In Safety Research

Citations in the corpus

Cultural bias and cultural alignment of large language models (2023, background): “AI has become integrated into daily routines and affects the way people consume and produce language [22].”
Explanations Can Reduce Overreliance on AI Systems During Decision-Making (2022, background): “For example, people rarely choose a suggested auto-reply to an important email to their boss [32], and will override AI suggestions if a virtual assistant misunderstands a request [63].”
ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing (2023, background): “It is crucial to address these ethical issues in order to ensure responsible and ethical use of GPT/ChatGPT in academia (Hancock et al., 2020).”
Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping Review (2023, background): “An emerging field of AI-mediated communication focuses on AI’s influence on our interactions with others [68].”
Co-Writing with Opinionated Language Models Affects Users’ Views (2023, background): “Applications like writing assistants [38], grammar support [66], and machine translation [45] inject the models’ output into what people write and read [51].”
The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations (2023, background): “Among the main adaptation expected is the need for a re-evaluation of the required workforce skills, as the automation of certain tasks may lead to retraining or developing new skills (Hancock et al., 2020).”
Human heuristics for AI-generated language are flawed (2022, background): “AI systems that generate human-like self-presentations may invalidate signals that people rely on when assessing others (16), such as tone or compositional skill.”