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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.


Kunsmatige intelligensie en die einde van die beskawing

KaarteKorrelasie
?
Hier is die verband tussen die reaksies van die peiling en die spiraaldinamika -toetskleure
VUCA
?
Hier is 'n nuwe koppelvlakbeskouing van korrelasie in 'n tabel volgens die spiraaldinamika waar wisselvalligheid, onsekerheid, kompleksiteit en dubbelsinnigheid (V.U.C.A.) getoon word deur positiewe en negatiewe korrelasie -afhanklikhede tussen die reaksies van die peiling en die spiraaldinamika -kleure
Land
Taal
-
Mail
Herbereken
Kritieke waarde van die korrelasiekoëffisiënt
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0718
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0718
Nie normale verspreiding, deur Spearman r = 0.0029
VerspreidingNie
normaal nie
NormaalNie
normaal nie
NormaalNormaalNormaalNormaalNormaal
Alle vrae
Alle vrae
1) Veiligheid (hoeveel stem u saam of stem u nie saam nie?)
2) Beheer (hoeveel stem u saam of stem u nie saam nie?)
1) Veiligheid (hoeveel stem u saam of stem u nie saam nie?)
Answer 1-
Swak positief
0.0708
Swak positief
0.0197
Swak positief
0.0942
Swak negatief
-0.1158
Swak positief
0.0007
Swak negatief
-0.0461
Swak positief
0.0163
Answer 2-
Swak positief
0.0170
Swak negatief
-0.0075
Swak positief
0.0441
Swak negatief
-0.0223
Swak positief
0.0348
Swak positief
0.0017
Swak negatief
-0.0533
Answer 3-
Swak negatief
-0.0306
Swak negatief
-0.0288
Swak positief
0.0092
Swak positief
0.0596
Swak negatief
-0.0264
Swak negatief
-0.0113
Swak positief
0.0030
Answer 4-
Swak positief
0.0348
Swak negatief
-0.0106
Swak positief
0.0164
Swak negatief
-0.0570
Swak negatief
-0.0332
Swak positief
0.0046
Swak positief
0.0562
Answer 5-
Swak negatief
-0.0137
Swak negatief
-0.0241
Swak negatief
-0.0239
Swak positief
0.0438
Swak positief
0.0320
Swak positief
0.0227
Swak negatief
-0.0554
Answer 6-
Swak negatief
-0.0138
Swak negatief
-0.0526
Swak negatief
-0.0740
Swak positief
0.0650
Swak negatief
-0.0071
Swak positief
0.0438
Swak positief
0.0148
Answer 7-
Swak negatief
-0.0554
Swak positief
0.1068
Swak negatief
-0.0652
Swak positief
0.0149
Swak positief
0.0042
Swak negatief
-0.0171
Swak positief
0.0168
2) Beheer (hoeveel stem u saam of stem u nie saam nie?)
Answer 8-
Swak positief
0.0123
Swak positief
0.0023
Swak positief
0.0772
Swak positief
0.0566
Swak negatief
-0.0241
Swak negatief
-0.0754
Swak negatief
-0.0436
Answer 9-
Swak positief
0.0168
Swak negatief
-0.0315
Swak negatief
-0.0355
Swak positief
0.0207
Swak positief
0.0870
Swak negatief
-0.0030
Swak negatief
-0.0551
Answer 10-
Swak positief
0.0171
Swak negatief
-0.0270
Swak negatief
-0.0694
Swak negatief
-0.0079
Swak negatief
-0.0035
Swak positief
0.0573
Swak positief
0.0309
Answer 11-
Swak positief
0.0181
Swak positief
0.0007
Swak positief
0.0309
Swak negatief
-0.0588
Swak negatief
-0.0310
Swak negatief
-0.0125
Swak positief
0.0558
Answer 12-
Swak negatief
-0.0034
Swak positief
0.0263
Swak positief
0.0655
Swak positief
0.0322
Swak negatief
-0.0684
Swak negatief
-0.0152
Swak negatief
-0.0352
Answer 13-
Swak negatief
-0.0909
Swak negatief
-0.0336
Swak negatief
-0.0184
Swak positief
0.0087
Swak positief
0.0272
Swak positief
0.0750
Swak negatief
-0.0014
Answer 14-
Swak positief
0.0041
Swak positief
0.0892
Swak negatief
-0.0341
Swak negatief
-0.0676
Swak negatief
-0.0262
Swak negatief
-0.0098
Swak positief
0.0683


Uitvoer na MS Excel
Hierdie funksionaliteit sal beskikbaar wees in u eie VUCA-stembusse
Ok



[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
Produk Eienaar SaaS SDTEST®

Valerii is in 1993 as 'n sosiale pedagoog-sielkundige gekwalifiseer en het sedertdien sy kennis in projekbestuur toegepas.
Valerii het 'n Meestersgraad en die projek- en programbestuurderkwalifikasie verwerf in 2013. Tydens sy Meesterprogram het hy vertroud geraak met Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) en Spiral Dynamics.
Valerii is die skrywer van die verkenning van die onsekerheid van die V.U.C.A. konsep met behulp van Spiraaldinamika en wiskundige statistieke in sielkunde, en 38 internasionale peilings.
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