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[Commlist] Call for Book Chapters: "Artificial intelligence and human perception: media discourse and public opinion"
Wed May 08 18:28:39 GMT 2024
Call for book chapters: "Artificial intelligence and human perception:
media discourse and public opinion"
Artificial Intelligence (AI) has been the subject of academic research
for decades. It is a key issue in the fields of Computer Science and
Information Technology, while attracting the attention of other fields
due to its pervasive nature. Social studies discussed its economic,
social, political, military, and geopolitical implications -
particularly regarding China’s ambition to become an AI leading power.
Media scholars questioned the ‘intelligence’ of machines (Natale, 2021)
and the ‘novelty’ of digital media in general (Balbi, 2022). The
humanities have engaged with philosophical, ethical, and legal issues
related to AI’s development, focusing on both the challenges and
benefits that technology could bring to human life (Floridi, 2022).
Since the release of ChatGPT for the public, AI has become one of the
most publicly debated topics, raising questions about its effects on
labour, warfare, human-machine interaction, sustainability, and human
cognition and creativity, to name a few. However, despite the growing
impact of AI on every aspect of daily life, what do non-specialists
understand about AI, and how do they feel about it?
With a few exceptions (Brennen et al. 2018; Cave et al., 2018; Chuan et
al., 2022; Maas, 2023; Mao/Shi-Kupfer, 2021; Robertson/Maccarone, 2023;
Zeng et al., 2022), discursive aspects of the phenomenon are still
vastly unexplored – especially in a contrastive perspective.
Institutional and media narratives play a crucial role in shaping public
perception of political and social phenomena. Arguably, their influence
is even more significant when specialised subjects are concerned, that
are difficult to grasp for non-experts. Rhetorical devices such as
metaphors, frames, and argumentative structures are therefore used to
simplify complex issues and make them more accessible to the public.
However, the use of such devices can also influence the public’s
emotional response to the topic being discussed.
For example, a news article about a new AI technology may use metaphors
such as ‘the rise of the machines’ to create a sense of fear or anxiety
among the public, or frame AI as a ‘threat to jobs’, creating a negative
perception of the technology. Conversely, utopian narratives can present
the era of Artificial intelligence as one rich with opportunities, where
humans save time and resources by letting the machines work for them,
and where AI applications solve social and individual
problems. Understanding the impact of media narratives on public
perception of AI is crucial for developing effective communication
strategies and promoting a nuanced understanding of the technology.
Given the extensive media attention that AI has received in recent
years, this book aims to explore the impact that institutional and media
narratives can have on the public perception of this phenomenon in
different national contexts. To this end, the volume aims at
establishing an interdisciplinary dialogue between discourse analysis
and other social sciences, with specific regard to studies that take
into consideration the measurement of public perception of Artificial
intelligence, for example through opinion polls, questionnaires, content
analysis etc. Therefore, contributions from different perspectives and
scientific fields in the humanities and social sciences are welcome.
***Proposals that reflect on (but are not limited to) the following
topics are encouraged:
- Media discourse on AI
- Political and institutional discourse on AI
- Ethics of AI and the public sphere
- Measuring public perception of AI (opinion polls, content analysis,
social media analysis, sentiment analysis)
- The discourse on the impact of AI on creativity/literature/pedagogy
- The discourse on human-machine relations
- Contrastive analysis on AI narratives
Researchers are invited to submit a chapter proposal of 1,000 words
(plus references) in English to Paolo Orrù ((paolo.orru /at/ unica.it)) and
Emma Lupano ((emma.lupano /at/ unica.it)). The volume will be published in open
access in the series "Methods and perspectives. Studies in Linguistics,
Philology and Literature", FrancoAngeli (http://francoangeli.it).
***Timeline:
- Submission of proposals: 9 June 2024
- Notification of acceptance: 24 June 2024
- Submsission of accepted chapters: 15 September 2024
- Peer reviews: 15 October 2024
- Submission of final chapters (after revision): 10 November 2024
- Volume publication: 30 March 2024
References
Balbi G. (2022). L’ultima delle ideologie. Bari-Roma: Laterza.
Brennen J. S. et al. (2018) „An Industry-Led Debate: How UK Media Cover
Artificial Intelligence”. Factsheet 2018, Reuters Institute for the
Study of Journalism, Oxford University.
Cave S. et al. (2018). “Portrayals and perception of AI and why they
matter”. (DES5612)
Chuan C., Tsai W. S., Cho S. Y. (2019). “Framing Artificial Intelligence
in American Newspapers”. In Proceedings of AAAI/ACM Conference on
Artificial Intelligence, Ethics, and Society (AIES’19). January 27-28,
2019, Honolulu, HI, USA. ACM, New York, NY.
Floridi L. (2022). Etica dell’Intelligenza Artificiale. Milano:
Raffaello Cortina Editore.
Maas M. (2023). “AI il like…”. AI Foundations Report 2, Legal
Priorities, October.
Mao Y., Shi-Kupfer K. (2021). “Online public discourse on artificial
intelligence and ethics in China: context, content, and implications”.
AI & SOCIETY.
Natale S. (2021). Deceitful Media. Artificial Intelligence and Social
Life after the Turing Test. Oxford: Oxford University Press.
Robertson A. / Maccarone M. (2023). “AI narratives and unequal
conditions. Analyzing the discourse of liminal expert voices in
discursive communicative spaces”. Telecommunications Policy 47(5)
Zeng J., Chan C-H., Schäfer M. S. (2022). “Contested Chinese dreams of
AI? Public discourse about artificial intelligence on WeChat and
People’s Daily online”. Information, Communication and Society, 25(3):
319-340.
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