Call for Papers: Special Issue
Deadline: 1 January 2019
Communicating Artificial Intelligence (AI): Theory, Research, and Practice
In the more than 60 years since the founding of artificial intelligence (AI) as a formal academic discipline, rapid advances in technology have driven an enormous increase in interest in the field of study. AI subfields, including machine learning, neural networks, and the social implications of AI, have initiated new approaches to research and answering emergent questions. Of particular interest is the study of AI at its intersection with the study of communication.
Like AI, communication, too, overlaps with other fields like sociology, anthropology, economics, computer science, among others, while focusing on human communication in its various forms. Despite an increasing scholarly attention of artificial intelligence (AI), AI studies remain largely unexplored in society at large concerning social, political, cultural, and ethical aspects of machine intelligence, interactions among agents, and social artifacts. This special issue tackles the long-discussed research areas with special emphasis on conditions, components, and consequences of cognitive, attitudinal, affective, and behavioral dimensions toward communicating AI.
Specifically, this special issue examines the following issues but are not limited to:
- communicative practices between humans and digital interlocutors
- interpreting social adoption of AI as technology acceptance and/or diffusion of innovation
- integration of artificial entities into political, health, science, environmental, and risk communication
- incorporation of AI into journalism, news, and civic and community life
- impact of machine learning-based algorithmic content recommendation in social media (e.g., filter bubble)
- social bots or fake accounts in social media empowered by AI and their influences on public opinion
- cultural discourse surrounding digital and robotic interlocutors
- critical perspectives of communicating AI in society and societization of AI
- reinterpretations and representations of humans as digital entities
- legal, ethical, and policy implications concerning AI, algorithmic content and/or systems
- communication about AI and the explanation of advances in the field
Both qualitative and quantitative methodologies are encouraged.
Before submitting a manuscript, potential contributors should send the guest editors a title, abstract, short synopsis of the contribution, as well as a short CV or Google scholar profile.
- Guest Editor: Seungahn Nah, University of Oregon (email@example.com)
- Guest Editor: Jang Hyun Kim, Sungkyunkwan University (firstname.lastname@example.org)
- Guest Editor: Jasmine McNealy, University of Florida (email@example.com)
- Guest Editor: Jungseock Joo, University of California- Los Angeles (firstname.lastname@example.org)
Abstract submission due by January 1, 2019
Decision for full manuscripts due by March 1, 2019
Full manuscript submission due by June 1, 2019
Decision for publication due by September 1, 2019
Final manuscript submission by December 1, 2019
Anticipated publication February 2020
The final paper should be in accordance with the Journal’s Guide for Authors.