Ai Perceptions In The Design Process: Probable? Possibly.

With the ever increasing subtlety of the influence of Ai, how will human and non human interfaces change the landscape of design efforts. Chances you will never even know. But you can & here’s how.

 In the design process, and with experienced iterators who are able to synthesize complex system thinking, engineering functionality and finance vocabulary ( the art of using time as a cross functional metric for value ) we see that in the findings of The Impact of Design Facilitator Identity on Human Designers where more often than not when the knowledge of the system ( Ai specifically ) takes place it’s the anthropomorphic traits
employed in prior studies (e.g., human-like appearance and verbal communication) cause the knowledge that a system is in place ( Ai or other ) that may not be able to benefit human designers directly. The reality of the system itself can become the impediment.

Where this becomes even more of a powerful factor is in the reality check when an environment of enhanced trust is established with design facilitators ( in person or Ai based ) is where high proficiency participants with unconsciously may rely on that human persona and where less motivation to keep creating better alternative models / design typologies emerges even when the advantage high proficiency participants with “human” facilitator may be offset by their own uncertainty and reliance on a human design facilitator therefore there is not as much significant impact on the average performance of high proficiency human designers vs non-high proficiency individuals. Can it be said that when there is not the interference of the human emotions connected to feedback and motivation that somehow there is a freer more open aspect of the creative process ? Possibly.

We see this even more in corporate, military and government offices where the need for confirmation based approval processes is known and often facilitated from the initial aspects of a particular work flow and where creativity operates within narrow bands of expected output so as to be able to deal with parameters such as, specifically, patent and trademark law which is often the key driver in such efforts.

 

                    

   

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Intellectual Property ; Innovation Property

When McKinsey knows that Gen AI Adoption Value = IP Value the jump to Innovation Property Value is almost instantaneous as it always has been. But how? Here's how:

In Innovation and Intellectual Property and with extensive data collected into the usability of IP in defending long standing ownership via Chalmers University of Technology researchers we are able to see that often different and co-existing intellectual property regimes means that different sectors of society and their institutions, countries, along with organizations, norms, etc., mean that groups like Sciences and Universities ; Technology and Industry ; Military and Government another ; Culture and Artists even more means, realistically,  too many groups have too many radical notions of what is " protected " and ownership means and which results in, that, in fact, there is no IP protection in the real world with the overarching capabilities of non-country / internet everywhere search engines.

With the push to the fact that often, " the internet " / search engines take the full control of a person's, consumer's and user's experience means that in the end IP protection is the same as the famous New Yorker cartoon that says " on the internet no one knows you are a dog " and where even if someone did, by the time it's determined, your cat, it's too late. This goes even one step further in IEEE's  Novel Method for Visually Mapping Intellectual Property Risks and Uncertainties in Evolving Innovation which is richly researched to go a step deeper into the ways in which this can be accomplished and in particularly within the context of biological systems where constant usage is not the marker for innovation and thus intellectual property protection.

In the end, long standing, well known international companies, products, R&D, new product development and innovation activities are able to easily show innovation protection and via world wide intellectual property protection stemming from their original long lasting efforts. McKinsey goes on to further detail this in that 65 percent of respondents report that their organizations are regularly using gen AI and which itself means long standing world wide trademark, patent, new product development intellectual property protection is extended to these original creators ( and not search engine based only ) via original capabilities. The power of ablative Ai systems.

 

                    

   

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When Generate + Diffuse + Interdepend ≠ Breakthroughs Then What? Innovate!

When the breakdown of systems ( created to formally protect long lasting R&D efforts taking place in lab environments ) and inside well established firms means firm creators must look to other fields to push the boundaries and it's where we can see this no more clearly than in the research of User Innovation in Techniques as well as User Toolkits for Innovation where the incredibly time consuming and also almost impossible real time task of Boundary spanning, Sourcing, interpreting and need-related gathering now causes Ai enabled Sentiment Tracking capabilities to inadvertently negatively drive innovation thus even higher costs for radical NPD being directly effected. But how can this be mitigated ?

When expanding the more intense processes connected to techniques developed within a 10–15 year window we see where the development processes followed in the medical field ( and due to the medical field being so careful in it’s scrutiny for patient safety this being a 10 – 15 year window ) we see first signs of diffusion among other users; and related to product changes with or without manufacturers being a key driver in new product development effort being the key driver of next generation new product development efforts.

In the case of non brand defense relaxed NPD efforts in computer hardware and software ( especially software ) these time-frames are heavily reduced ( for incremental efforts particularly ) and also where said efforts follow the same pattern of effect in terms of the way external forces demanding additional efforts to deal the impact of input from non-internal and non-linear short term NPD maneuvers. Where we see time being effectively utilized in internal radical innovation efforts for the purposes of completing the seemingly impossible, Innovation in Techniques as well as User Toolkits for Innovation also show the alternative confusion that happens when defense based NPD procedures must be put in place to deal with external forces demand attention where not necessary previously.

 

                    

   

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