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 = 0.0874
Normalna distribucija, William Sealy Gosset (student) r = 0.0874
Ne normalna distribucija, Spearman r = 0.0039
DistribucijaNe
normalan
NormalanNormalanNormalanNormalanNormalanNormalanNormalan
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
0.0647
Slaba negativan
-0.0402
Slaba pozitivan
0.1238
Slaba negativan
-0.1305
Slaba pozitivan
0.0097
Slaba negativan
-0.0535
Slaba pozitivan
0.0344
Answer 2-
Slaba pozitivan
0.0497
Slaba pozitivan
0.0373
Slaba pozitivan
0.0295
Slaba negativan
-0.0054
Slaba negativan
-0.0046
Slaba negativan
-0.0176
Slaba negativan
-0.0596
Answer 3-
Slaba negativan
-0.0307
Slaba negativan
-0.0330
Slaba pozitivan
0.0063
Slaba pozitivan
0.0822
Slaba negativan
-0.0127
Slaba negativan
-0.0159
Slaba negativan
-0.0149
Answer 4-
Slaba negativan
-0.0069
Slaba pozitivan
0.0432
Slaba pozitivan
0.0293
Slaba negativan
-0.0238
Slaba negativan
-0.0470
Slaba negativan
-0.0193
Slaba pozitivan
0.0315
Answer 5-
Slaba pozitivan
0.0069
Slaba negativan
-0.0237
Slaba negativan
-0.0152
Slaba pozitivan
0.0131
Slaba negativan
-0.0018
Slaba pozitivan
0.0608
Slaba negativan
-0.0308
Answer 6-
Slaba negativan
-0.0388
Slaba negativan
-0.0576
Slaba negativan
-0.1067
Slaba pozitivan
0.0816
Slaba pozitivan
0.0191
Slaba pozitivan
0.0491
Slaba pozitivan
0.0162
Answer 7-
Slaba negativan
-0.0360
Slaba pozitivan
0.0619
Slaba negativan
-0.0510
Slaba negativan
-0.0486
Slaba pozitivan
0.0403
Slaba pozitivan
0.0061
Slaba pozitivan
0.0322
2) Kontrola (koliko se slažete ili ne slažete?)
Answer 8-
Slaba pozitivan
0.0254
Slaba pozitivan
0.0424
Slaba pozitivan
0.1084
Slaba pozitivan
0.0601
Slaba negativan
-0.0356
Slaba negativan
-0.1149
Slaba negativan
-0.0695
Answer 9-
Slaba pozitivan
0.0118
Slaba negativan
-0.0446
Slaba negativan
-0.0559
Slaba pozitivan
0.0325
Slaba pozitivan
0.0961
Slaba negativan
-0.0228
Slaba negativan
-0.0252
Answer 10-
Slaba pozitivan
0.0535
Slaba negativan
-0.0376
Slaba negativan
-0.0089
Slaba negativan
-0.0281
Slaba negativan
-0.0308
Slaba pozitivan
0.0262
Slaba pozitivan
0.0309
Answer 11-
Slaba pozitivan
0.0157
Slaba pozitivan
0.0103
Slaba negativan
-0.0089
Slaba negativan
-0.0482
Slaba pozitivan
0.0039
Slaba pozitivan
0.0010
Slaba pozitivan
0.0318
Answer 12-
Slaba negativan
-0.0377
Slaba pozitivan
0.0444
Slaba pozitivan
0.0304
Slaba pozitivan
0.0435
Slaba negativan
-0.0755
Slaba pozitivan
0.0475
Slaba negativan
-0.0432
Answer 13-
Slaba negativan
-0.1232
Slaba negativan
-0.0353
Slaba negativan
-0.0230
Slaba pozitivan
0.0330
Slaba negativan
-0.0105
Slaba pozitivan
0.0883
Slaba pozitivan
0.0191
Answer 14-
Slaba pozitivan
0.0124
Slaba pozitivan
0.0425
Slaba negativan
-0.0572
Slaba negativan
-0.1125
Slaba pozitivan
0.0256
Slaba pozitivan
0.0326
Slaba pozitivan
0.0763


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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?