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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 = 0.0728
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0728
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
0.0679
Swak positief
0.0208
Swak positief
0.0941
Swak negatief
-0.1166
Swak negatief
-0.0093
Swak negatief
-0.0468
Swak positief
0.0193
Answer 2-
Swak positief
0.0184
Swak negatief
-0.0029
Swak positief
0.0435
Swak negatief
-0.0233
Swak positief
0.0394
Swak negatief
-0.0072
Swak negatief
-0.0563
Answer 3-
Swak negatief
-0.0216
Swak negatief
-0.0258
Swak positief
0.0046
Swak positief
0.0559
Swak negatief
-0.0239
Swak negatief
-0.0104
Swak positief
0.0067
Answer 4-
Swak positief
0.0343
Swak negatief
-0.0049
Swak positief
0.0149
Swak negatief
-0.0408
Swak negatief
-0.0348
Swak negatief
-0.0073
Swak positief
0.0443
Answer 5-
Swak negatief
-0.0086
Swak negatief
-0.0262
Swak negatief
-0.0230
Swak positief
0.0467
Swak positief
0.0343
Swak positief
0.0301
Swak negatief
-0.0524
Answer 6-
Swak negatief
-0.0190
Swak negatief
-0.0527
Swak negatief
-0.0740
Swak positief
0.0680
Swak negatief
-0.0124
Swak positief
0.0470
Swak positief
0.0166
Answer 7-
Swak negatief
-0.0636
Swak positief
0.0934
Swak negatief
-0.0592
Swak negatief
-0.0007
Swak positief
0.0087
Swak negatief
-0.0034
Swak positief
0.0228
2) Beheer (hoeveel stem u saam of stem u nie saam nie?)
Answer 8-
Swak positief
0.0164
Swak positief
0.0056
Swak positief
0.0831
Swak positief
0.0601
Swak negatief
-0.0333
Swak negatief
-0.0791
Swak negatief
-0.0472
Answer 9-
Swak positief
0.0273
Swak negatief
-0.0256
Swak negatief
-0.0379
Swak positief
0.0278
Swak positief
0.0796
Swak negatief
-0.0130
Swak negatief
-0.0537
Answer 10-
Swak positief
0.0045
Swak negatief
-0.0378
Swak negatief
-0.0535
Swak negatief
-0.0202
Swak positief
0.0070
Swak positief
0.0611
Swak positief
0.0295
Answer 11-
Swak positief
0.0236
Swak positief
0.0022
Swak positief
0.0129
Swak negatief
-0.0588
Swak negatief
-0.0171
Swak negatief
-0.0136
Swak positief
0.0548
Answer 12-
Swak negatief
-0.0081
Swak positief
0.0333
Swak positief
0.0523
Swak positief
0.0406
Swak negatief
-0.0664
Swak positief
0.0088
Swak negatief
-0.0439
Answer 13-
Swak negatief
-0.0945
Swak negatief
-0.0347
Swak negatief
-0.0132
Swak positief
0.0114
Swak positief
0.0174
Swak positief
0.0732
Swak positief
0.0032
Answer 14-
Swak negatief
-5.90E-5
Swak positief
0.0837
Swak negatief
-0.0344
Swak negatief
-0.0759
Swak negatief
-0.0241
Swak negatief
-0.0101
Swak positief
0.0763


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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