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Playing with AI: Creative Approaches to Engage the Public into Responsible AI Innovation 
Giulia De Togni (University of Edinburgh)
Agnessa Spanellis (The University of Edinburgh)
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Giulia De Togni (University of Edinburgh)
Agnessa Spanellis (The University of Edinburgh)
Roger Andre Søraa (NTNU)
Combined Format Open Panel

Short Abstract:

AI innovation is led by developers and regulators, often excluding the public. Through exploring creative strategies, including visual arts and gamification, we invite discussion on how to promote responsible innovation while emphasizing diversity in knowledge and perspectives.

Long Abstract:

Current debates about the future of AI in our daily lives are dominated by developers and regulators, often excluding users and the public, who usually receive expert opinions without actively participating in innovation processes. This is particularly problematic in the realm of healthcare, as AI and robotics applications for healthcare raise significant concerns including sensitive data management, violation of user privacy, and safety risks (Bostrom 2003; Fenech et al. 2018; Lin et al. 2011; Sharkey and Sharkey 2011). Toward responsible innovation, we encourage a more inclusive and collaborative dialogue that engages with end users of these technologies.

We reframe user engagement as "boundary work" (Langley et al. 2019) which occurs at the intersections of diverse domains, professions, cultures, and communities. Instead of focusing on expertise (experts vs. non-expert), our framing emphasises diversity of knowledge, cultural backgrounds, and social perspectives. Effective boundary work involves transforming or creating shared knowledge (Carlile 2002) and collectively validating or negotiating it (Brown and Duguid 2001). At the core of this process is the concept of a "boundary object" (Star and Griesemer 1989), which serves as a common reference point to establish a shared context.

Our panel encourages participants to find such ‘boundary objects’ through creative strategies aimed at engaging the public in responsible AI innovation practices. We suggest that creative artifacts can function as boundary objects, facilitating shared understanding and knowledge exchange across diverse boundaries. We welcome both academic papers and interactive workshop-style contributions. Creative approaches may include visual arts performances and games. Both the papers and the workshop activities should elicit discussion on responsible innovation, user involvement and participation of the public in decision-making.

By combining academic papers with creative methods during the panel, we aim to foster meaningful conversations toward democratizing AI innovation and promoting collaboration among diverse stakeholders.

Accepted contributions: