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


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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?