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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

Land
Taal
-
Mail
Herbereken
Kritieke waarde van die korrelasiekoëffisiënt
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0722
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0722
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
0.0641
Swak positief
0.0190
Swak positief
0.0961
Swak negatief
-0.1206
Swak negatief
-0.0002
Swak negatief
-0.0497
Swak positief
0.0188
Answer 2-
Swak positief
0.0147
Swak negatief
-0.0046
Swak positief
0.0452
Swak negatief
-0.0263
Swak positief
0.0354
Swak negatief
-0.0035
Swak negatief
-0.0509
Answer 3-
Swak negatief
-0.0223
Swak negatief
-0.0211
Swak positief
0.0125
Swak positief
0.0593
Swak negatief
-0.0281
Swak negatief
-0.0140
Swak positief
0.0007
Answer 4-
Swak positief
0.0290
Swak negatief
-0.0078
Swak positief
0.0110
Swak negatief
-0.0475
Swak negatief
-0.0317
Swak positief
0.0008
Swak positief
0.0496
Answer 5-
Swak negatief
-0.0074
Swak negatief
-0.0243
Swak negatief
-0.0233
Swak positief
0.0471
Swak positief
0.0337
Swak positief
0.0285
Swak negatief
-0.0531
Answer 6-
Swak negatief
-0.0124
Swak negatief
-0.0533
Swak negatief
-0.0759
Swak positief
0.0648
Swak negatief
-0.0083
Swak positief
0.0468
Swak positief
0.0147
Answer 7-
Swak negatief
-0.0573
Swak positief
0.0937
Swak negatief
-0.0652
Swak positief
0.0121
Swak positief
0.0042
Swak negatief
-0.0085
Swak positief
0.0200
2) Beheer (hoeveel stem u saam of stem u nie saam nie?)
Answer 8-
Swak positief
0.0128
Swak positief
0.0040
Swak positief
0.0812
Swak positief
0.0532
Swak negatief
-0.0256
Swak negatief
-0.0777
Swak negatief
-0.0445
Answer 9-
Swak positief
0.0239
Swak negatief
-0.0228
Swak negatief
-0.0407
Swak positief
0.0268
Swak positief
0.0827
Swak negatief
-0.0096
Swak negatief
-0.0558
Answer 10-
Swak positief
0.0178
Swak negatief
-0.0397
Swak negatief
-0.0592
Swak negatief
-0.0132
Swak positief
0.0004
Swak positief
0.0552
Swak positief
0.0316
Answer 11-
Swak positief
0.0143
Swak positief
0.0004
Swak positief
0.0298
Swak negatief
-0.0590
Swak negatief
-0.0293
Swak negatief
-0.0092
Swak positief
0.0553
Answer 12-
Swak negatief
-0.0070
Swak positief
0.0346
Swak positief
0.0513
Swak positief
0.0408
Swak negatief
-0.0657
Swak positief
0.0076
Swak negatief
-0.0445
Answer 13-
Swak negatief
-0.0957
Swak negatief
-0.0361
Swak negatief
-0.0173
Swak positief
0.0048
Swak positief
0.0263
Swak positief
0.0734
Swak positief
0.0069
Answer 14-
Swak positief
0.0032
Swak positief
0.0870
Swak negatief
-0.0344
Swak negatief
-0.0667
Swak negatief
-0.0262
Swak negatief
-0.0135
Swak positief
0.0684


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
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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