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Is AI Becoming Part of the Innovation Team?
What happens when machines start shaping how we innovate?
In the age of generative AI, this is becoming a real question. In this episode, Arvid Lunde and I discuss how generative AI is used in collaborative prototyping within real innovation settings. We explore how AI can support idea generation, knowledge transfer, and alignment between different stakeholders.
We also discuss the limits of AI-supported innovation: where does responsibility sit, and in whose hands?
Listen until the end to hear what Arvid would create if he had a magic wand. His answer raises a bigger question about the kind of society we want to build.
Sources
AI-Facilitated Boundary Objects Reconfiguring the Process of Collaborative Prototyping: The Case of Research & Innovation at Toyota
Arvid Lunde, Jonathan Bergvall, Vasili Mankevich
Mediterranean Conference on Information Systems (MCIS) - 2025
Carlile, P. R. (2002). A pragmatic view of knowledge and boundaries: Boundary
objects in new product development. Organization Science, 13(4), 442–
455.
Star, S. L., & Griesemer, J. R. (1989). Institutional ecology, ‘translations’ and
boundary objects: Amateurs and professionals in Berkeley's Museum of
Vertebrate Zoology, 1907–39. Social Studies of Science, 19(3), 387–420.
Chapter timelines
00:00 Introduction: When AI enters the innovation room
00:58 Welcome to LiteraNeo
01:16 The article: AI-facilitated boundary objects at Toyota
02:09 Arvid’s view on the rapid development of AI
03:27 Generative AI as a cognitive collaborator
04:47 AI as an artificial discussion partner
06:46 What are boundary objects?
07:14 Boundary objects explained through football
09:33 Shared language, shared meaning, and shared action
12:09 Do boundary objects stabilise understanding or add complexity?
14:01 How generative AI creates boundary objects
15:54 From pen and paper to AI-generated prototypes
16:23 Human responsibility and ownership in AI-supported creation
17:33 Does AI democratise innovation?
18:40 Prototyping versus quality assurance
20:32 Can AI have tacit knowledge?
22:22 How AI helps make tacit knowledge explicit
23:57 Do people see AI as a team member?
24:21 Is AI collaboration or tool use?
25:56 Advice for people using or adapting to new technologies
26:36 AI tools, confidentiality, and data risks
28:54 Magic wand question: designing better technology
29:07 AI, energy use, and sustainable computing
31:02 Closing reflections
Видео Is AI Becoming Part of the Innovation Team? канала LiteraNeo
In the age of generative AI, this is becoming a real question. In this episode, Arvid Lunde and I discuss how generative AI is used in collaborative prototyping within real innovation settings. We explore how AI can support idea generation, knowledge transfer, and alignment between different stakeholders.
We also discuss the limits of AI-supported innovation: where does responsibility sit, and in whose hands?
Listen until the end to hear what Arvid would create if he had a magic wand. His answer raises a bigger question about the kind of society we want to build.
Sources
AI-Facilitated Boundary Objects Reconfiguring the Process of Collaborative Prototyping: The Case of Research & Innovation at Toyota
Arvid Lunde, Jonathan Bergvall, Vasili Mankevich
Mediterranean Conference on Information Systems (MCIS) - 2025
Carlile, P. R. (2002). A pragmatic view of knowledge and boundaries: Boundary
objects in new product development. Organization Science, 13(4), 442–
455.
Star, S. L., & Griesemer, J. R. (1989). Institutional ecology, ‘translations’ and
boundary objects: Amateurs and professionals in Berkeley's Museum of
Vertebrate Zoology, 1907–39. Social Studies of Science, 19(3), 387–420.
Chapter timelines
00:00 Introduction: When AI enters the innovation room
00:58 Welcome to LiteraNeo
01:16 The article: AI-facilitated boundary objects at Toyota
02:09 Arvid’s view on the rapid development of AI
03:27 Generative AI as a cognitive collaborator
04:47 AI as an artificial discussion partner
06:46 What are boundary objects?
07:14 Boundary objects explained through football
09:33 Shared language, shared meaning, and shared action
12:09 Do boundary objects stabilise understanding or add complexity?
14:01 How generative AI creates boundary objects
15:54 From pen and paper to AI-generated prototypes
16:23 Human responsibility and ownership in AI-supported creation
17:33 Does AI democratise innovation?
18:40 Prototyping versus quality assurance
20:32 Can AI have tacit knowledge?
22:22 How AI helps make tacit knowledge explicit
23:57 Do people see AI as a team member?
24:21 Is AI collaboration or tool use?
25:56 Advice for people using or adapting to new technologies
26:36 AI tools, confidentiality, and data risks
28:54 Magic wand question: designing better technology
29:07 AI, energy use, and sustainable computing
31:02 Closing reflections
Видео Is AI Becoming Part of the Innovation Team? канала LiteraNeo
generative AI AI innovation collaborative prototyping AI collaboration human AI collaboration AI and business future of innovation boundary objects innovation management future of work digital transformation AI research cognitive collaborator knowledge transfer stakeholder alignment tacit knowledge AI ethics responsible innovation Toyota research
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19 мая 2026 г. 20:00:06
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