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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 = 0.0763
Normale verspreiding, deur William Sealy Gosset (student) r = 0.0763
Nie normale verspreiding, deur Spearman r = 0.0031
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
0.0709
Swak negatief
-0.0028
Swak positief
0.1106
Swak negatief
-0.0994
Swak negatief
-0.0085
Swak negatief
-0.0583
Swak positief
0.0110
Answer 2-
Swak positief
0.0280
Swak positief
0.0016
Swak positief
0.0403
Swak negatief
-0.0300
Swak positief
0.0444
Swak negatief
-0.0020
Swak negatief
-0.0658
Answer 3-
Swak negatief
-0.0147
Swak negatief
-0.0480
Swak negatief
-0.0065
Swak positief
0.0458
Swak negatief
-0.0093
Swak negatief
-0.0046
Swak positief
0.0184
Answer 4-
Swak positief
0.0166
Swak positief
0.0057
Swak positief
0.0186
Swak negatief
-0.0386
Swak negatief
-0.0325
Swak negatief
-0.0142
Swak positief
0.0482
Answer 5-
Swak positief
0.0043
Swak negatief
-0.0109
Swak negatief
-0.0187
Swak positief
0.0505
Swak negatief
-0.0008
Swak positief
0.0361
Swak negatief
-0.0520
Answer 6-
Swak negatief
-0.0401
Swak negatief
-0.0583
Swak negatief
-0.0839
Swak positief
0.0803
Swak negatief
-0.0010
Swak positief
0.0548
Swak positief
0.0139
Answer 7-
Swak negatief
-0.0560
Swak positief
0.1141
Swak negatief
-0.0539
Swak negatief
-0.0116
Swak negatief
-0.0001
Swak negatief
-0.0108
Swak positief
0.0246
2) Beheer (hoeveel stem u saam of stem u nie saam nie?)
Answer 8-
Swak positief
0.0279
Swak positief
0.0172
Swak positief
0.0623
Swak positief
0.0562
Swak negatief
-0.0184
Swak negatief
-0.0748
Swak negatief
-0.0562
Answer 9-
Swak positief
0.0074
Swak negatief
-0.0274
Swak negatief
-0.0412
Swak positief
0.0323
Swak positief
0.0853
Swak negatief
-0.0162
Swak negatief
-0.0452
Answer 10-
Swak positief
0.0176
Swak negatief
-0.0320
Swak negatief
-0.0396
Swak negatief
-0.0023
Swak negatief
-0.0136
Swak positief
0.0492
Swak positief
0.0170
Answer 11-
Swak positief
0.0321
Swak positief
0.0105
Swak positief
0.0134
Swak negatief
-0.0615
Swak negatief
-0.0101
Swak negatief
-0.0137
Swak positief
0.0401
Answer 12-
Swak negatief
-0.0132
Swak positief
0.0326
Swak positief
0.0613
Swak positief
0.0349
Swak negatief
-0.0699
Swak positief
0.0061
Swak negatief
-0.0382
Answer 13-
Swak negatief
-0.1088
Swak negatief
-0.0423
Swak negatief
-0.0096
Swak negatief
-0.0013
Swak positief
0.0092
Swak positief
0.0769
Swak positief
0.0302
Answer 14-
Swak positief
0.0043
Swak positief
0.0611
Swak negatief
-0.0311
Swak negatief
-0.0806
Swak negatief
-0.0219
Swak positief
0.0017
Swak positief
0.0791


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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