The Public Communication of Science and Technology Conference (PCST 2023) will take place in Rotterdam from 12 to 14 April 2023. The theme of this year's conference is "Creating common ground". Follow this link to the conference page.
The RHET AI Center is offering a pre-conference workshop on "Grounding AI communication: Myths, imaginations, and realities" on the 11th of April from 14:00 to 16:00. The workshop will focus on the challenges of science communication in the field of artificial intelligence. The aim of the workshop is to enable participants to use narratives and fictions more effectively in research and communication and to avoid potential pitfalls. Current findings from rhetoric, linguistics and cultural studies will be included. The workshop is organised by Markus Gottschling and Kim Luther from the RHET AI Center.
Artificial intelligence (AI) is a thriving field, and its research is both complex and challenging.
Dealing with this, in science communication about AI, two contrasting strategies have emerged: on the one hand, communication focuses on explaining complex structures and relationships as precisely as possible. The results often turn out to be rather drab. On the other hand, in order to reduce complexity and make the topic more vivid, communicators resort to science fiction narratives, religious motifs, and mythologies, fantasies or conspiracy theories. As science and technology are invariably embedded in social processes, invoking these ideas comes with its own communicative baggage: when we use myths and imaginaries to create common ground, we activate frameworks in the addressees that we no longer control. The richness of context of these allusions goes far beyond the specific domain of AI communication – which is precisely why we need thorough grounding for our messages: "we must do more than just send it off. We need to assure ourselves that it has been understood as we intended it to be" (Clark/Brennan 1993).
The workshop aims to address our understanding of these communicative structures. Together we want to discuss the fictional associations that thrive in AI communication. Based on examples from culture, we are interested in finding out where imaginaries and narratives
originate – and how they influence communication (and even research). Then, through hands-on group work, we will use recontextualization techniques to produce well-grounded
communication examples. Through this, we aim at clarifying how narratives can be used, what advantages myths and fictions offer, and how pitfalls can be avoided. We aim to empower participants to use narratives that influence research, communication, and reception of AI more effectively. Current insights from rhetoric, linguistics, and cultural studies will be incorporated.
On April 12 from 17:00 to 18:15, the RHET AI Center will also organize a roundtable on "Between Fact and Fiction. The Difficult quest for common ground in scicomm on AI." The aim of the discussion is to establish a common ground for the public debate on Artificial Intelligence. Different perspectives of experts from the fields of computer science, mathematics, media and cultural studies will be included. In addition to Olaf Kramer, Annette Leßmöllmann, Markus Gottschling from the RHET AI Center, Beatrice Bonami, Tilman Gocht and Julia Merlot will also be part of the roundtable.
"None of my colleagues think that machines will ever gain consciousness. That’s just nothing we focus our research on." With these words, Machine Learning professor Robert Bamler recently tried to adjust a lively discussion about Artificial Intelligence (AI) at a Public Engagement event in Tübingen. Whereas machine learning research sees AI primarily as a useful tool, perceptions in public discourse are more strongly shaped by desires, fears and fanciful imaginations driven by narratives and myths.
Reaching an understanding between these perspectives is a complex task: already within research on AI difficulties of establishing common ground become apparent. After all, various disciplines are involved, from computer science and mathematics to media and cultural studies. Such differing backgrounds necessarily result in different assessments of whether AI should be explainable or not, whether AI is a black box or not, or even on how to define artificial intelligence. Finding common ground for a public discussion about AI therefore must incorporate the recontextualization of highly complex research, building mutual understanding within the disciplines and subsequently aiming at enabling an informed public discourse about AI.
In short opening statements, our speakers will discuss the possibilities and ramifications of communication about AI research from their perspectives. Then, we will try to create common ground live at PCST, involving the audience by addressing them in different roles: as non- experts, they are invited to share their own conceptions of AI via surveys and short Q&A sessions; and as researchers and practitioners of science communication, their expertise is needed in designing solution strategies. Together we will engage with both the question of how researchers from different disciplines can find common ground and the question of what role practitioners play in facilitating the establishment of such common ground between researchers as well as between science and the public.