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.


Umjetna inteligencija i kraj civilizacije

Zemlja
Jezik
-
Mail
Preračunati
Kritična vrijednost koeficijenta korelacije
Normalna distribucija, William Sealy Gosset (student) r = 0.0763
Normalna distribucija, William Sealy Gosset (student) r = 0.0763
Ne normalna distribucija, Spearman r = 0.0031
DistribucijaNe
normalan
NormalanNe
normalan
NormalanNormalanNormalanNormalanNormalan
Sva pitanja
Sva pitanja
1) Sigurnost (koliko se slažete ili se ne slažete?)
2) Kontrola (koliko se slažete ili ne slažete?)
1) Sigurnost (koliko se slažete ili se ne slažete?)
Answer 1-
Slaba pozitivan
0.0713
Slaba negativan
-0.0025
Slaba pozitivan
0.1106
Slaba negativan
-0.0997
Slaba negativan
-0.0087
Slaba negativan
-0.0586
Slaba pozitivan
0.0113
Answer 2-
Slaba pozitivan
0.0287
Slaba pozitivan
0.0022
Slaba pozitivan
0.0402
Slaba negativan
-0.0306
Slaba pozitivan
0.0441
Slaba negativan
-0.0024
Slaba negativan
-0.0654
Answer 3-
Slaba negativan
-0.0141
Slaba negativan
-0.0475
Slaba negativan
-0.0065
Slaba pozitivan
0.0452
Slaba negativan
-0.0095
Slaba negativan
-0.0050
Slaba pozitivan
0.0188
Answer 4-
Slaba pozitivan
0.0171
Slaba pozitivan
0.0062
Slaba pozitivan
0.0186
Slaba negativan
-0.0391
Slaba negativan
-0.0327
Slaba negativan
-0.0145
Slaba pozitivan
0.0485
Answer 5-
Slaba pozitivan
0.0046
Slaba negativan
-0.0106
Slaba negativan
-0.0187
Slaba pozitivan
0.0501
Slaba negativan
-0.0010
Slaba pozitivan
0.0358
Slaba negativan
-0.0517
Answer 6-
Slaba negativan
-0.0396
Slaba negativan
-0.0579
Slaba negativan
-0.0839
Slaba pozitivan
0.0797
Slaba negativan
-0.0012
Slaba pozitivan
0.0544
Slaba pozitivan
0.0142
Answer 7-
Slaba negativan
-0.0588
Slaba pozitivan
0.1109
Slaba negativan
-0.0537
Slaba negativan
-0.0085
Slaba pozitivan
0.0010
Slaba negativan
-0.0088
Slaba pozitivan
0.0224
2) Kontrola (koliko se slažete ili ne slažete?)
Answer 8-
Slaba pozitivan
0.0286
Slaba pozitivan
0.0178
Slaba pozitivan
0.0623
Slaba pozitivan
0.0555
Slaba negativan
-0.0186
Slaba negativan
-0.0752
Slaba negativan
-0.0557
Answer 9-
Slaba pozitivan
0.0081
Slaba negativan
-0.0268
Slaba negativan
-0.0412
Slaba pozitivan
0.0315
Slaba pozitivan
0.0850
Slaba negativan
-0.0166
Slaba negativan
-0.0447
Answer 10-
Slaba pozitivan
0.0182
Slaba negativan
-0.0315
Slaba negativan
-0.0396
Slaba negativan
-0.0029
Slaba negativan
-0.0138
Slaba pozitivan
0.0488
Slaba pozitivan
0.0174
Answer 11-
Slaba pozitivan
0.0325
Slaba pozitivan
0.0109
Slaba pozitivan
0.0134
Slaba negativan
-0.0619
Slaba negativan
-0.0103
Slaba negativan
-0.0140
Slaba pozitivan
0.0404
Answer 12-
Slaba negativan
-0.0129
Slaba pozitivan
0.0328
Slaba pozitivan
0.0613
Slaba pozitivan
0.0346
Slaba negativan
-0.0700
Slaba pozitivan
0.0059
Slaba negativan
-0.0380
Answer 13-
Slaba negativan
-0.1120
Slaba negativan
-0.0454
Slaba negativan
-0.0095
Slaba pozitivan
0.0026
Slaba pozitivan
0.0106
Slaba pozitivan
0.0788
Slaba pozitivan
0.0272
Answer 14-
Slaba pozitivan
0.0047
Slaba pozitivan
0.0614
Slaba negativan
-0.0311
Slaba negativan
-0.0810
Slaba negativan
-0.0221
Slaba pozitivan
0.0015
Slaba pozitivan
0.0793


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[1] https://www.ft.com/content/b2928076-5c52-43e9-8872-08fda2aa2fcf


2023.11.27
Valerii kosenko
Vlasnik proizvoda SaaS Pet Project SdTest®

Valerii je 1993. kvalificiran kao socijalni pedagogue-psiholog i od tada je svoje znanje primijenio u upravljanju projektima.
Valerii je stekao magisterij, a kvalifikacija za projekt i voditelj programa 2013. godine. Tijekom svog magistriranog programa upoznao se s Project Roadmapom (GPM Deutsche Gesellschaft Für Projektmanagement E. V.) i Spiral Dynamics.
Valerii je uzeo razne testove spiralne dinamike i iskoristio svoje znanje i iskustvo kako bi prilagodio trenutnu verziju SDTEST -a.
Valerii je autor istraživanja neizvjesnosti V.U.C.A. Koncept koji koristi spiralnu dinamiku i matematičku statistiku u psihologiji, više od 20 međunarodnih anketa.
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Bok tamo! Dopustite mi da vas pitam, da li ste već upoznati sa spiralnom dinamikom?