When focusing on Expected Quality, Domain Knowledge and Functional Specificity Ai is anything but "general" and via sample sizes of ~800 we see it's all in the data ? More often it's in the emotions, surprisingly.
The ability for co-creation to be a viable function of collaborative group work is the assumption that not only is there a ( usually ) a physical place ( and in today's heavily digital world, a place in the clouds ) that is the nexus for efforts that take place to move work from ideas to innovations and where with the now almost ubiquitous inserting of Ai systems into that process where in fact that Ai keeps track of all aspects of data sharing, ideation, etc,. and in some cases experimentation. What has become more unexpected is that positive self reported emotional responses among co-creation participants and in one particular case study Generative AI Reshaping Teamwork and Expertise allowed a seemingly unexpected aspect of generative Ai to be shown where Ai systems often fulfill a large part of social and motivational roles more than human teammates often provided.
Where this becomes curious ( and not that far from the norm of typical daily team dynamics ) is where fewer negative emotions were reported when engaging with generative Ai systems mainly due to the tacit understanding that ( as the data showed ) interplay curtails blind spots, Ai encourages scrutiny of multiple viewpoints, and fosters collaborative creativity. And that does not mean it has to come from people - it can ( and soon the future ) if not now, where this will come from The 3rd Self and why we created the term in 2001 where we began exploring the idea of Can A Machine Design driving the groundbreaking TEDx Rome series of the same name and where we pushed on exploring The Third Self: Design Innovations' Next Muse in later efforts.
In particular the realization that ( like in A Field Experiment on Generative Ai ) specialized experts and interdisciplinary collaboration can drive innovation but does it and can it enable it via the poetic nature of design that is often the formal antithesis to belonging, collective commitment, and reciprocal support necessary in large organizations and where the often " softening " or in the case of marble sculpting non-pixelazation takes place. Where the idea of pixelated ideas or typologies that have unique and distinct form and languages are often the direct artifacts of formation of a topological style, in team work the idea of the product master is the antithesis of " good design " and where collective ( and in many cases ) generative Ai shines: taking multiple styles and coellessign them into an XYZ that can be accepted by a co-creation effort. Where a symphony or a masterpiece is attributed to individuality ( yet with many players ) we see co-creation ( with or without the advent of Ai ) is where generative systems ( even when these are human based ) takes it's biggest influence. Thus is Generative Ai co-creative or Coalessive?
Surprisingly the ability for non-core-job employees working alone is where they showed achieved performance levels comparable to teams with at least one core-job employee and where the idea of ideation to innovation has the capability thorough " expert access " to to cut through boundaries that unsurprisingly normally needed supervision. An example is where Ai becomes the local instantly queryable expert. Again, not surprisingly expanded problem-solving horizons via AI’s holistic and interdisciplinary thinking efficacy means, like in quantum mechanics, shall we call it spooky ( effectiveness ) action at a distance takes place.
Where the ability of language models ( and also within the realm of datasets connected to scientific and topologically specific knowledge domains ) will still often cause Ai output to be ( in many cases ) echo chamber oriented, with the advances in Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks, Transformers and State Space Models mean real time design environments are evolving to even more effectively encourage and interface directly with engineers and logistics for even faster than ever new product development analysis and viability scenarios and environments to evolve quickly and economically. The sky is essentially the limit. And, interestingly, the destination.
#iGNITIATE #Design #DesignThinking #DesignInnovation #IndustrialDesign #iGNITEconvergence #iGNITEprogram #DesignLeadership #LawrenceLivermoreNationalLabs #NSF #USNavy #EcoleDesPonts #Topiade #LouisVuitton #WorldRetailCongress #REUTPALA #WorldRetailCongress #OM #Fujitsu #Sharing #Swarovski #321-Contact #Bausch&Lomb #M.ONDE #SunStar #USPTO #EUIPO #WIPO