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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 = 0.0849
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0849
Nie normale verspreiding, deur Spearman r = 0.0037
VerspreidingNie
normaal nie
NormaalNormaalNormaalNormaalNormaalNormaalNormaal
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
0.0474
Swak negatief
-0.0492
Swak positief
0.1043
Swak negatief
-0.1088
Swak positief
0.0225
Swak negatief
-0.0370
Swak positief
0.0294
Answer 2-
Swak positief
0.0404
Swak positief
0.0291
Swak positief
0.0405
Swak negatief
-0.0021
Swak positief
0.0077
Swak negatief
-0.0153
Swak negatief
-0.0674
Answer 3-
Swak negatief
-0.0191
Swak negatief
-0.0348
Swak positief
0.0045
Swak positief
0.0593
Swak negatief
-0.0118
Swak negatief
-0.0068
Swak negatief
-0.0146
Answer 4-
Swak positief
0.0118
Swak positief
0.0308
Swak positief
0.0247
Swak negatief
-0.0172
Swak negatief
-0.0597
Swak negatief
-0.0260
Swak positief
0.0472
Answer 5-
Swak positief
0.0212
Swak negatief
-0.0164
Swak negatief
-0.0230
Swak positief
0.0110
Swak positief
0.0116
Swak positief
0.0308
Swak negatief
-0.0427
Answer 6-
Swak negatief
-0.0422
Swak negatief
-0.0487
Swak negatief
-0.1027
Swak positief
0.0794
Swak positief
0.0182
Swak positief
0.0450
Swak positief
0.0182
Answer 7-
Swak negatief
-0.0516
Swak positief
0.0780
Swak negatief
-0.0427
Swak negatief
-0.0459
Swak positief
0.0186
Swak positief
0.0139
Swak positief
0.0370
2) Beheer (hoeveel stem u saam of stem u nie saam nie?)
Answer 8-
Swak positief
0.0089
Swak positief
0.0244
Swak positief
0.0785
Swak positief
0.0783
Swak negatief
-0.0155
Swak negatief
-0.0978
Swak negatief
-0.0703
Answer 9-
Swak positief
0.0282
Swak negatief
-0.0388
Swak negatief
-0.0411
Swak negatief
-0.0033
Swak positief
0.0879
Swak negatief
-0.0257
Swak negatief
-0.0104
Answer 10-
Swak positief
0.0560
Swak negatief
-0.0264
Swak negatief
-0.0167
Swak negatief
-0.0228
Swak negatief
-0.0361
Swak positief
0.0250
Swak positief
0.0315
Answer 11-
Swak positief
0.0207
Swak positief
0.0089
Swak positief
0.0008
Swak negatief
-0.0369
Swak negatief
-0.0015
Swak negatief
-0.0166
Swak positief
0.0336
Answer 12-
Swak negatief
-0.0506
Swak positief
0.0363
Swak positief
0.0306
Swak positief
0.0540
Swak negatief
-0.0686
Swak positief
0.0416
Swak negatief
-0.0534
Answer 13-
Swak negatief
-0.1085
Swak negatief
-0.0391
Swak negatief
-0.0073
Swak positief
0.0255
Swak negatief
-0.0098
Swak positief
0.0902
Swak positief
0.0098
Answer 14-
Swak negatief
-0.0025
Swak positief
0.0573
Swak negatief
-0.0536
Swak negatief
-0.1108
Swak positief
0.0139
Swak positief
0.0418
Swak positief
0.0736


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 Pet Project SdTest®

Valerii is in 1993 as 'n maatskaplike pedagoge-sielkundige gekwalifiseer en het sedertdien sy kennis in projekbestuur toegepas.
Valerii het in 2013 'n meestersgraad en die kwalifikasie van die projek- en programbestuurder verwerf. Tydens sy meestersprogram het hy vertroud geraak met Project Roadmap (GPM Deutsche Gesellschaft Für Projektmanagement e. V.) en Spiral Dynamics.
Valerii het verskillende spiraaldinamika -toetse afgelê en sy kennis en ervaring gebruik om die huidige weergawe van SDTest aan te pas.
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, meer as 20 internasionale peilings.
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