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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
0.0734
Swak positief
0.0222
Swak positief
0.0930
Swak negatief
-0.1129
Swak negatief
-0.0082
Swak negatief
-0.0441
Swak positief
0.0172
Answer 2-
Swak positief
0.0176
Swak negatief
-0.0064
Swak positief
0.0439
Swak negatief
-0.0235
Swak positief
0.0411
Swak negatief
-0.0037
Swak negatief
-0.0536
Answer 3-
Swak negatief
-0.0237
Swak negatief
-0.0293
Swak positief
0.0041
Swak positief
0.0580
Swak negatief
-0.0254
Swak negatief
-0.0131
Swak positief
0.0056
Answer 4-
Swak positief
0.0353
Swak negatief
-0.0020
Swak positief
0.0147
Swak negatief
-0.0434
Swak negatief
-0.0329
Swak negatief
-0.0045
Swak positief
0.0461
Answer 5-
Swak negatief
-0.0159
Swak negatief
-0.0257
Swak negatief
-0.0233
Swak positief
0.0425
Swak positief
0.0329
Swak positief
0.0241
Swak negatief
-0.0546
Answer 6-
Swak negatief
-0.0137
Swak negatief
-0.0525
Swak negatief
-0.0709
Swak positief
0.0701
Swak negatief
-0.0147
Swak positief
0.0443
Swak positief
0.0137
Answer 7-
Swak negatief
-0.0651
Swak positief
0.0972
Swak negatief
-0.0603
Swak negatief
-0.0026
Swak positief
0.0092
Swak negatief
-0.0026
Swak positief
0.0252
2) Beheer (hoeveel stem u saam of stem u nie saam nie?)
Answer 8-
Swak positief
0.0139
Swak positief
0.0048
Swak positief
0.0805
Swak positief
0.0622
Swak negatief
-0.0317
Swak negatief
-0.0783
Swak negatief
-0.0456
Answer 9-
Swak positief
0.0230
Swak negatief
-0.0258
Swak negatief
-0.0352
Swak positief
0.0274
Swak positief
0.0832
Swak negatief
-0.0126
Swak negatief
-0.0582
Answer 10-
Swak positief
0.0143
Swak negatief
-0.0423
Swak negatief
-0.0553
Swak negatief
-0.0195
Swak positief
0.0021
Swak positief
0.0614
Swak positief
0.0320
Answer 11-
Swak positief
0.0256
Swak positief
0.0035
Swak positief
0.0149
Swak negatief
-0.0597
Swak negatief
-0.0187
Swak negatief
-0.0176
Swak positief
0.0573
Answer 12-
Swak negatief
-0.0173
Swak positief
0.0347
Swak positief
0.0531
Swak positief
0.0412
Swak negatief
-0.0701
Swak positief
0.0068
Swak negatief
-0.0464
Answer 13-
Swak negatief
-0.0930
Swak negatief
-0.0342
Swak negatief
-0.0141
Swak positief
0.0112
Swak positief
0.0211
Swak positief
0.0739
Swak positief
0.0020
Answer 14-
Swak positief
0.0002
Swak positief
0.0882
Swak negatief
-0.0341
Swak negatief
-0.0785
Swak negatief
-0.0241
Swak negatief
-0.0070
Swak positief
0.0777


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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