Special issue on Embedding AI in Society
We invite contributions to a Special Issue on Embedding AI in Society, to be published by AI & Society: Journal of Culture, Knowledge and Communication (Springer), https://www.springer.com/journal/146.
Artificial Intelligence (AI) is a pervasive part of our lives. From autonomous vehicles and AI personal assistants to computer-assisted surgery and automated trading systems, we rely on AI to help us make decisions and manage our personal and professional activities. Although AI promises improvements in productivity and safety in the aforementioned instances, it is also important to remember that AI does not operate in a vacuum. Given its integration into our daily lives and social institutions, AI is directly shaping socioeconomic structures and affecting the lives of many individual citizens in profound and often unpredictable ways. AI systems have the potential to reach deeply into our lives, affecting not just our productivity and safety but also our autonomy and dignity. In recognition of this vast potential for good and bad, we would like to facilitate developing a deeper and more holistic understanding of how AI will and should alter society. Thus, a Special Issue on Embedding AI & Society is of significant utility and value.
Researchers from any discipline whose work relates to the social, political, and ethical dimensions of AI are invited to submit papers. The focus can be on conceptual or empirical work. Four themes are of particular interest:
- Integrating ethics into AI decision making
- Safety with and from AI systems
- Providing transparency and respecting user privacy in data analysis
- The future of employment in the age of AI
We interpret these themes broadly to include many types of applications of AI across multiple domains, including but not limited to autonomous vehicles, healthcare robots, policing algorithms, and AI personal assistants.
We welcome contributions across the following formats:
● Original papers (max 10000 words): Substantial contribution, theory, method, application. Contributions may be experimental, based on case studies, or conceptual discussions of how AI systems affect organizations, society and humans.
● Open Forum paper (max 8000 words): Research in progress, ideas paper. Contributions may come from researchers, practitioners and others interested in the topics of the special issue. Contributions might be, but not limited to, discussion papers, literature reviews, case studies, working papers, features, and articles on emerging research. Papers published in the open forum target a broad audience i.e. academics, designers as well as the average reader.
● Student papers (max 6000 words): Research in progress. Contributions may come from post- graduate students and Ph.D. students interested in the topics of the special issue. For articles that are based primarily on the student’s dissertation or thesis, it is recommended that the student is usually listed as principal author.
● Curmudgeon papers (max 1000 words): Short, opinionated column on trends in technology, science and society, commenting on issues of concern to the research community and wider society. Whilst the drive for artificial intelligence promotes potential benefits to wider society, it also raises deep concerns of existential risk, thereby highlighting the need for an ongoing conversation between technology and society. At the core of Curmudgeon concern is the question: What are the political-philosophical concepts regarding the present sphere of AI technology?
Abstract submission: December 4, 2020
Notification (abstracts): January 15, 2021
Symposium: February 18-19, 2021
Manuscript submission: May 30, 2021
Notifications: September 30, 2021
Submission final versions: January 30, 2022
Online publication: Rolling, based on reviewer and editorial decisions
You can find more information about formatting under the section "Submission guidelines" https://www.springer.com/journal/146. For inquiries and to submit your abstract and manuscript, please contact: firstname.lastname@example.org
Special Issue Editors
William A. Bauer, Ph.D. (Philosophy, NC State). William A. Bauer is a Teaching Associate Professor in Philosophy at North Carolina State University. He works primarily in applied ethics and the metaphysics of science and has published journal articles on the nature of fundamental properties (defending a causal powers view of reality), personal identity, animal minds, and the social and ethical implications of AI. Concerning AI ethics, he is especially interested in the ontology and ethics of AI assistants, the impact of AVs on society, and machine ethics. William won the 2019-2020 Outstanding Lecturer Award in the College of Humanities and Social Sciences. He regularly teaches Biomedical Ethics, Thinking Logically, and Introduction to Philosophy, and was privileged to serve as the Scholar in Residence at the University Honors Village for three years (2011-14). William completed his doctoral work in Philosophy at the University of Nebraska-Lincoln. Prior to that, he completed an MA in Philosophy at Miami University (Ohio), an MA in Humanities at California State University-Dominguez Hills, served as a U.S. Army medical services officer, and earned a BA w/Honors in Biology at Illinois Institute of Technology. Email: email@example.com.
Veljko Dubljević, Ph.D., D.Phil. (Science, Technology & Society, NC State). Dr. Dubljević is an Assistant Professor of Philosophy and Science, Technology & Society (STS) at NC State University. Before arriving in Raleigh, he spent three years as a postdoctoral fellow at the Neuroethics Research Unit at IRCM and McGill University in Montreal, Canada. He studied philosophy (University of Novi Sad) and economics (Educons University), and obtained a PhD in Political Science (University of Belgrade). After that, he joined the research Training Group 'Bioethics' at University of Tuebingen, and after studying philosophy, bioethics, and neuroscience there, obtained a doctorate in philosophy (University of Stuttgart). Dr. Dubljević is a Series Editor for Advances in Neuroethics (https://www.springer.com/series/14360), Co-Editor of the edited volume Cognitive Enhancement (https://global.oup.com/academic/product/cognitive-enhancement9780199396818), Author of the book Neuroethics, Justice and Autonomy (https://www.springer.com/us/book/9783030136420), and Co-Editor of the volume Living with Dementia (https://www.springer.com/us/book/9783030620721). He currently leads the NeuroComputational Ethics Research Group at NC State. Email: firstname.lastname@example.org.
George List, Ph.D, PE (Engineering, NC State). Dr. List is a professor in the Department of Civil, Construction and Environmental Engineering at NC State University. He is a graduate of Carnegie Mellon University (BSEE, 1971), the University of Delaware (MEE, 1976), and the University of Pennsylvania (Ph.D., CE, 1984). Dr. List is a systems engineer with more than 40 years experience in the control and design of transportation systems. His interests are diverse from the ethics of AI-based control to the coupling between infrastructure investment and economic growth. His recent projects focus on travel time reliability, system performance enhancement using connected and autonomous vehicles, guidelines for simulation-based transportation system modeling, prediction of performance for mixed traffic on freeways, and rural highway network investment strategies. He has served as both a department head and a center director. In 2007 he was a co-recipient of the ITS-America “Best of ITS” award in Research and Innovation; he was a recipient of the project of the year award from ITS-New York three times; and in 1999 he was a Finalist in the Edelman Prize Competition (INFORMS). He is a past chair of the TRB Joint Traffic Simulation Subcommittee (SimSub and the TRB Traffic Flow Theory Committee, a former member of the Highway Capacity and Quality of Service Committee, and a former member and chair of the Intermodal Freight Transportation Committee. Dr. List is a Fellow of ASCE and a member of ITE, TRB, IEEE, and INFORMS. Email: email@example.com.
Darby Orcutt, M.A., M.Sc. (Collections and Research Strategy, NC State Libraries). Darby Orcutt is the Assistant Head for Collections & Research Strategy at NC State University Libraries. He is a national leader in developing library support for content mining and computational research, and much of his work revolves around creating and supporting interdisciplinary research teams to solve complex problems. He is affiliated with several interdisciplinary research centers, co-PI of a National Science Foundation grant, co-PI of an NSF I-Corps commercialization project in AIaugmented learning, and teaches in the University Honors and Science, Technology, and Society Programs at NC State. He is also Adjunct Faculty at the School of Information and Library Science at The University of North Carolina at Chapel Hill. Email: firstname.lastname@example.org.
Munindar P. Singh (Computer Science, NC State). Dr. Munindar P. Singh is Alumni Distinguished Graduate Professor in the Department of Computer Science at North Carolina State University. He is a codirector of the DoD-sponsored Science of Security Lablet at NCSU, one of six nationwide. Munindar's research interests include computational aspects of sociotechnical systems. He focuses on challenges such as ethics, safety, resilience, autonomy and heterogeneity, trust, privacy, and security. His research concerns various aspects of AI and multiagent systems and allied topics in social computing and software engineering. Munindar is a Fellow of both the Institute of Electrical and Electronics Engineers (IEEE) and the Association for the Advancement of Artificial Intelligence (AAAI). He has won the ACM SIGAI Autonomous Agents Research Award and the IFAAMAS Influential Paper Award for his 1998 paper on agent communication. He won NC State University's Outstanding Research Achievement Award in 2015 and 2017, was selected as an Alumni Distinguished Graduate Professor in 2016, and is a member of NCSU's Research Leadership Academy. Munindar was the editor-in-chief of the ACM Transactions on Internet Technology from 2012 to 2018 and the editor-in-chief of IEEE Internet Computing from 1999 to 2002. His current editorial service includes IEEE Internet Computing, Journal of Artificial Intelligence Research, Journal of Autonomous Agents and Multiagent Systems, IEEE Transactions on Services Computing, and ACM Transactions on Intelligent Systems and Technology. Munindar served on the founding board of directors of IFAAMAS, the International Foundation for Autonomous Agents and MultiAgent Systems. He previously served on the editorial board of the Journal of Web Semantics. He also served on the founding steering committee for the IEEE Transactions on Mobile Computing. Munindar was a general cochair for the 2005 International Conference on Autonomous Agents and MultiAgent Systems and of the 2016 International Conference on Service-Oriented Computing. Munindar's research has been recognized with awards and sponsorship by (alphabetically) Army Research Lab, Army Research Office, Cisco Systems, Consortium for Ocean Leadership, DARPA, Department of Defense, Ericsson, IBM, Intel, National Science Foundation, and Xerox. Twenty-seven students have received PhD degrees and thirty-two students MS degrees under Munindar's direction. Email: email@example.com.