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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 = 0.0719
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0719
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
0.0717
Swak positief
0.0194
Swak positief
0.0951
Swak negatief
-0.1167
Swak positief
0.0005
Swak negatief
-0.0468
Swak positief
0.0167
Answer 2-
Swak positief
0.0182
Swak negatief
-0.0080
Swak positief
0.0453
Swak negatief
-0.0234
Swak positief
0.0345
Swak positief
0.0008
Swak negatief
-0.0527
Answer 3-
Swak negatief
-0.0296
Swak negatief
-0.0292
Swak positief
0.0103
Swak positief
0.0587
Swak negatief
-0.0267
Swak negatief
-0.0122
Swak positief
0.0036
Answer 4-
Swak positief
0.0297
Swak negatief
-0.0085
Swak positief
0.0111
Swak negatief
-0.0523
Swak negatief
-0.0318
Swak positief
0.0089
Swak positief
0.0535
Answer 5-
Swak negatief
-0.0130
Swak negatief
-0.0244
Swak negatief
-0.0233
Swak positief
0.0432
Swak positief
0.0319
Swak positief
0.0222
Swak negatief
-0.0550
Answer 6-
Swak negatief
-0.0129
Swak negatief
-0.0530
Swak negatief
-0.0732
Swak positief
0.0643
Swak negatief
-0.0074
Swak positief
0.0432
Swak positief
0.0153
Answer 7-
Swak negatief
-0.0546
Swak positief
0.1065
Swak negatief
-0.0644
Swak positief
0.0141
Swak positief
0.0040
Swak negatief
-0.0178
Swak positief
0.0173
2) Beheer (hoeveel stem u saam of stem u nie saam nie?)
Answer 8-
Swak positief
0.0135
Swak positief
0.0019
Swak positief
0.0785
Swak positief
0.0556
Swak negatief
-0.0244
Swak negatief
-0.0765
Swak negatief
-0.0430
Answer 9-
Swak positief
0.0181
Swak negatief
-0.0321
Swak negatief
-0.0343
Swak positief
0.0195
Swak positief
0.0867
Swak negatief
-0.0040
Swak negatief
-0.0545
Answer 10-
Swak positief
0.0181
Swak negatief
-0.0274
Swak negatief
-0.0685
Swak negatief
-0.0090
Swak negatief
-0.0038
Swak positief
0.0565
Swak positief
0.0315
Answer 11-
Swak positief
0.0189
Swak positief
0.0003
Swak positief
0.0318
Swak negatief
-0.0597
Swak negatief
-0.0312
Swak negatief
-0.0132
Swak positief
0.0563
Answer 12-
Swak negatief
-0.0127
Swak positief
0.0304
Swak positief
0.0570
Swak positief
0.0415
Swak negatief
-0.0665
Swak negatief
-0.0080
Swak negatief
-0.0408
Answer 13-
Swak negatief
-0.0904
Swak negatief
-0.0338
Swak negatief
-0.0178
Swak positief
0.0081
Swak positief
0.0270
Swak positief
0.0746
Swak negatief
-0.0010
Answer 14-
Swak positief
0.0048
Swak positief
0.0890
Swak negatief
-0.0335
Swak negatief
-0.0684
Swak negatief
-0.0264
Swak negatief
-0.0104
Swak positief
0.0688


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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