bog baseret test «Spiral Dynamics:
Mastering Values, Leadership, and
Change» (ISBN-13: 978-1405133562)
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AI Assistants Boost Beginners More Than Experts, Study Shows Correlation

There once was an AI named Chat who was really good at repeating back information it already knew. One day, Chat was given to some office workers [1] to help them with their jobs. Some of the workers were experts at their jobs, while others were still learning.  


At first, Chat helped all the workers get more work done faster - even the experts! But soon, the experts noticed something funny. The workers who were still learning got way MORE help from Chat. The new workers improved a lot using Chat, doing their work faster and better than ever before!   


The experts wondered why Chat didn't help them as much. That's when they realized - that Chat is an expert at repeating back facts but can't come up with brand new ideas. So, for workers who already knew those facts, Chat didn't offer them that much new help. But for newer workers still learning those basics, Chat was able to teach them so much more!


This shows a correlation - as in, two things that relate to each other and change together. The more expert a worker already was, the less helpful Chat was for them. But for newer workers, Chat could help them almost as much as the experts! It's because of their different starting points. Chat has a limit to how expert it can be. So, the closer a worker already was to Chat's expertise, the less new stuff Chat offered them.


The experts and newbies improved at different rates thanks to Chat. Their own expertise compared to Chat's matters for how much more they can learn. That connection in how much they improve is the correlation!


The SDTEST® gives clues to someone's motivational values. However, additional polls can provide more pieces of the puzzle.


Imagine also giving an "A.I. and the end of civilization" poll. It asks people to rate at the agree or disagree level. 


Now imagine 100 people who took both tests. You could match up each person's SDTEST® colors with their rated answers about the danger of AI.


Comparing tests gives an expanded picture of values in action. More puzzle pieces make the whole image more apparent!


Multiple tests can work together, like colors blending on a palette. Other polls reveal what engages your values, like what is the perception of the danger of AI. Combined, they paint a richer picture of what motivates our thoughts and deeds.


Below you can read an abridged version of the results of our VUCA poll “A.I. and the end of civilization“. The full results of the poll are available for free in the FAQ section after login or registration.


Kunstig intelligens og civilisationens afslutning

DiagrammerKorrelation
?
Her er forholdet mellem reaktionerne fra afstemningen og spiraldynamikens testfarver
VUCA
?
Her er en ny grænsefladebillede af sammenhæng i en tabel efter niveauer af spiraldynamik, hvor volatilitet, usikkerhed, kompleksitet og tvetydighed (V.U.C.A.) vises gennem positive og negative korrelationsafhængighed mellem reaktionerne fra afstemningen og spiraldynamikfarver
Land
Sprog
-
Mail
Beregner igen
Kritisk værdi af korrelationskoefficienten
Normal distribution af William Sealy Gosset (studerende) r = 0.0718
Normal distribution af William Sealy Gosset (studerende) r = 0.0718
Ikke normal distribution af Spearman r = 0.0029
FordelingIkke
normal
NormalIkke
normal
NormalNormalNormalNormalNormal
Alle spørgsmål
Alle spørgsmål
1) Sikkerhed (Hvor meget er du enig eller uenig?)
2) Kontrol (Hvor meget er du enig eller uenig?)
1) Sikkerhed (Hvor meget er du enig eller uenig?)
Answer 1-
Svag positiv
0.0708
Svag positiv
0.0197
Svag positiv
0.0942
Svag negativ
-0.1158
Svag positiv
0.0007
Svag negativ
-0.0461
Svag positiv
0.0163
Answer 2-
Svag positiv
0.0170
Svag negativ
-0.0075
Svag positiv
0.0441
Svag negativ
-0.0223
Svag positiv
0.0348
Svag positiv
0.0017
Svag negativ
-0.0533
Answer 3-
Svag negativ
-0.0306
Svag negativ
-0.0288
Svag positiv
0.0092
Svag positiv
0.0596
Svag negativ
-0.0264
Svag negativ
-0.0113
Svag positiv
0.0030
Answer 4-
Svag positiv
0.0348
Svag negativ
-0.0106
Svag positiv
0.0164
Svag negativ
-0.0570
Svag negativ
-0.0332
Svag positiv
0.0046
Svag positiv
0.0562
Answer 5-
Svag negativ
-0.0137
Svag negativ
-0.0241
Svag negativ
-0.0239
Svag positiv
0.0438
Svag positiv
0.0320
Svag positiv
0.0227
Svag negativ
-0.0554
Answer 6-
Svag negativ
-0.0138
Svag negativ
-0.0526
Svag negativ
-0.0740
Svag positiv
0.0650
Svag negativ
-0.0071
Svag positiv
0.0438
Svag positiv
0.0148
Answer 7-
Svag negativ
-0.0554
Svag positiv
0.1068
Svag negativ
-0.0652
Svag positiv
0.0149
Svag positiv
0.0042
Svag negativ
-0.0171
Svag positiv
0.0168
2) Kontrol (Hvor meget er du enig eller uenig?)
Answer 8-
Svag positiv
0.0123
Svag positiv
0.0023
Svag positiv
0.0772
Svag positiv
0.0566
Svag negativ
-0.0241
Svag negativ
-0.0754
Svag negativ
-0.0436
Answer 9-
Svag positiv
0.0168
Svag negativ
-0.0315
Svag negativ
-0.0355
Svag positiv
0.0207
Svag positiv
0.0870
Svag negativ
-0.0030
Svag negativ
-0.0551
Answer 10-
Svag positiv
0.0171
Svag negativ
-0.0270
Svag negativ
-0.0694
Svag negativ
-0.0079
Svag negativ
-0.0035
Svag positiv
0.0573
Svag positiv
0.0309
Answer 11-
Svag positiv
0.0181
Svag positiv
0.0007
Svag positiv
0.0309
Svag negativ
-0.0588
Svag negativ
-0.0310
Svag negativ
-0.0125
Svag positiv
0.0558
Answer 12-
Svag negativ
-0.0034
Svag positiv
0.0263
Svag positiv
0.0655
Svag positiv
0.0322
Svag negativ
-0.0684
Svag negativ
-0.0152
Svag negativ
-0.0352
Answer 13-
Svag negativ
-0.0909
Svag negativ
-0.0336
Svag negativ
-0.0184
Svag positiv
0.0087
Svag positiv
0.0272
Svag positiv
0.0750
Svag negativ
-0.0014
Answer 14-
Svag positiv
0.0041
Svag positiv
0.0892
Svag negativ
-0.0341
Svag negativ
-0.0676
Svag negativ
-0.0262
Svag negativ
-0.0098
Svag positiv
0.0683


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[1] https://www.ft.com/content/b2928076-5c52-43e9-8872-08fda2aa2fcf


2023.11.27
FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma
Valerii Kosenko
Produktejer SaaS SDTEST®

Valerii blev uddannet socialpædagog-psykolog i 1993 og har siden anvendt sin viden i projektledelse.
Valerii opnåede en kandidatgrad og projekt- og programlederkvalifikationen i 2013. I løbet af sin kandidatuddannelse blev han fortrolig med Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) og Spiral Dynamics.
Valerii er forfatteren til at udforske usikkerheden i V.U.C.A. koncept ved hjælp af Spiral Dynamics og matematisk statistik i psykologi, og 38 internationale meningsmålinger.
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Hej! Lad mig spørge dig, kender du allerede spiraldynamikken?