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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 = 0.0828
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0828
Nie normale verspreiding, deur Spearman r = 0.0035
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
0.0762
Swak negatief
-0.0046
Swak positief
0.1086
Swak negatief
-0.1228
Swak positief
0.0184
Swak negatief
-0.0551
Swak positief
0.0148
Answer 2-
Swak positief
0.0302
Swak positief
0.0072
Swak positief
0.0367
Swak negatief
-0.0046
Swak positief
0.0238
Swak negatief
-0.0124
Swak negatief
-0.0587
Answer 3-
Swak negatief
-0.0182
Swak negatief
-0.0500
Swak negatief
-0.0009
Swak positief
0.0531
Swak negatief
-0.0099
Swak positief
0.0009
Swak negatief
-0.0011
Answer 4-
Swak positief
0.0057
Swak positief
0.0166
Swak positief
0.0297
Swak negatief
-0.0251
Swak negatief
-0.0543
Swak negatief
-0.0202
Swak positief
0.0538
Answer 5-
Swak positief
0.0128
Swak negatief
-0.0180
Swak negatief
-0.0228
Swak positief
0.0229
Swak positief
0.0196
Swak positief
0.0167
Swak negatief
-0.0444
Answer 6-
Swak negatief
-0.0435
Swak negatief
-0.0554
Swak negatief
-0.1053
Swak positief
0.0937
Swak positief
0.0049
Swak positief
0.0536
Swak positief
0.0151
Answer 7-
Swak negatief
-0.0509
Swak positief
0.1070
Swak negatief
-0.0386
Swak negatief
-0.0397
Swak positief
0.0022
Swak positief
0.0126
Swak positief
0.0224
2) Beheer (hoeveel stem u saam of stem u nie saam nie?)
Answer 8-
Swak positief
0.0236
Swak positief
0.0396
Swak positief
0.0723
Swak positief
0.0688
Swak negatief
-0.0290
Swak negatief
-0.0910
Swak negatief
-0.0671
Answer 9-
Swak positief
0.0314
Swak negatief
-0.0439
Swak negatief
-0.0372
Swak positief
0.0109
Swak positief
0.0894
Swak negatief
-0.0354
Swak negatief
-0.0199
Answer 10-
Swak positief
0.0449
Swak negatief
-0.0301
Swak negatief
-0.0304
Swak negatief
-0.0111
Swak negatief
-0.0279
Swak positief
0.0391
Swak positief
0.0218
Answer 11-
Swak positief
0.0152
Swak negatief
-0.0074
Swak positief
0.0081
Swak negatief
-0.0440
Swak positief
0.0039
Swak negatief
-0.0051
Swak positief
0.0334
Answer 12-
Swak negatief
-0.0524
Swak positief
0.0334
Swak positief
0.0347
Swak positief
0.0537
Swak negatief
-0.0655
Swak positief
0.0322
Swak negatief
-0.0480
Answer 13-
Swak negatief
-0.1113
Swak negatief
-0.0423
Swak negatief
-0.0035
Swak positief
0.0030
Swak positief
0.0101
Swak positief
0.0817
Swak positief
0.0204
Answer 14-
Swak negatief
-0.0015
Swak positief
0.0730
Swak negatief
-0.0472
Swak negatief
-0.1012
Swak negatief
-0.0108
Swak positief
0.0289
Swak positief
0.0804


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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