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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 = 0.0727
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0727
Nie normale verspreiding, deur Spearman r = 0.003
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
0.0666
Swak positief
0.0209
Swak positief
0.0941
Swak negatief
-0.1169
Swak negatief
-0.0089
Swak negatief
-0.0469
Swak positief
0.0197
Answer 2-
Swak positief
0.0169
Swak negatief
-0.0027
Swak positief
0.0434
Swak negatief
-0.0239
Swak positief
0.0400
Swak negatief
-0.0073
Swak negatief
-0.0555
Answer 3-
Swak negatief
-0.0228
Swak negatief
-0.0256
Swak positief
0.0045
Swak positief
0.0553
Swak negatief
-0.0232
Swak negatief
-0.0105
Swak positief
0.0074
Answer 4-
Swak positief
0.0329
Swak negatief
-0.0047
Swak positief
0.0149
Swak negatief
-0.0412
Swak negatief
-0.0342
Swak negatief
-0.0074
Swak positief
0.0449
Answer 5-
Swak negatief
-0.0094
Swak negatief
-0.0261
Swak negatief
-0.0230
Swak positief
0.0463
Swak positief
0.0346
Swak positief
0.0300
Swak negatief
-0.0519
Answer 6-
Swak negatief
-0.0118
Swak negatief
-0.0530
Swak negatief
-0.0733
Swak positief
0.0702
Swak negatief
-0.0155
Swak positief
0.0470
Swak positief
0.0129
Answer 7-
Swak negatief
-0.0643
Swak positief
0.0935
Swak negatief
-0.0592
Swak negatief
-0.0012
Swak positief
0.0092
Swak negatief
-0.0034
Swak positief
0.0233
2) Beheer (hoeveel stem u saam of stem u nie saam nie?)
Answer 8-
Swak positief
0.0149
Swak positief
0.0058
Swak positief
0.0830
Swak positief
0.0595
Swak negatief
-0.0326
Swak negatief
-0.0791
Swak negatief
-0.0463
Answer 9-
Swak positief
0.0229
Swak negatief
-0.0238
Swak negatief
-0.0378
Swak positief
0.0297
Swak positief
0.0811
Swak negatief
-0.0113
Swak negatief
-0.0566
Answer 10-
Swak positief
0.0132
Swak negatief
-0.0401
Swak negatief
-0.0533
Swak negatief
-0.0207
Swak positief
0.0031
Swak positief
0.0593
Swak positief
0.0308
Answer 11-
Swak positief
0.0224
Swak positief
0.0023
Swak positief
0.0128
Swak negatief
-0.0592
Swak negatief
-0.0166
Swak negatief
-0.0136
Swak positief
0.0552
Answer 12-
Swak negatief
-0.0087
Swak positief
0.0333
Swak positief
0.0523
Swak positief
0.0403
Swak negatief
-0.0660
Swak positief
0.0087
Swak negatief
-0.0436
Answer 13-
Swak negatief
-0.0947
Swak negatief
-0.0346
Swak negatief
-0.0132
Swak positief
0.0111
Swak positief
0.0178
Swak positief
0.0731
Swak positief
0.0036
Answer 14-
Swak negatief
-0.0009
Swak positief
0.0838
Swak negatief
-0.0344
Swak negatief
-0.0762
Swak negatief
-0.0236
Swak negatief
-0.0102
Swak positief
0.0767


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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