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 = 0.0723
Normalna distribucija, William Sealy Gosset (student) r = 0.0723
Ne normalna distribucija, Spearman r = 0.0029
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
0.0643
Slaba pozitivan
0.0187
Slaba pozitivan
0.0956
Slaba negativan
-0.1202
Slaba negativan
-0.0005
Slaba negativan
-0.0499
Slaba pozitivan
0.0193
Answer 2-
Slaba pozitivan
0.0151
Slaba negativan
-0.0051
Slaba pozitivan
0.0441
Slaba negativan
-0.0253
Slaba pozitivan
0.0350
Slaba negativan
-0.0038
Slaba negativan
-0.0503
Answer 3-
Slaba negativan
-0.0220
Slaba negativan
-0.0216
Slaba pozitivan
0.0115
Slaba pozitivan
0.0603
Slaba negativan
-0.0284
Slaba negativan
-0.0143
Slaba pozitivan
0.0013
Answer 4-
Slaba pozitivan
0.0293
Slaba negativan
-0.0083
Slaba pozitivan
0.0101
Slaba negativan
-0.0467
Slaba negativan
-0.0320
Slaba pozitivan
0.0006
Slaba pozitivan
0.0502
Answer 5-
Slaba negativan
-0.0072
Slaba negativan
-0.0246
Slaba negativan
-0.0240
Slaba pozitivan
0.0477
Slaba pozitivan
0.0335
Slaba pozitivan
0.0284
Slaba negativan
-0.0527
Answer 6-
Slaba negativan
-0.0121
Slaba negativan
-0.0537
Slaba negativan
-0.0769
Slaba pozitivan
0.0657
Slaba negativan
-0.0086
Slaba pozitivan
0.0466
Slaba pozitivan
0.0152
Answer 7-
Slaba negativan
-0.0591
Slaba pozitivan
0.0965
Slaba negativan
-0.0600
Slaba pozitivan
0.0071
Slaba pozitivan
0.0060
Slaba negativan
-0.0071
Slaba pozitivan
0.0168
2) Kontrola (koliko se slažete ili ne slažete?)
Answer 8-
Slaba pozitivan
0.0132
Slaba pozitivan
0.0035
Slaba pozitivan
0.0801
Slaba pozitivan
0.0543
Slaba negativan
-0.0260
Slaba negativan
-0.0781
Slaba negativan
-0.0439
Answer 9-
Slaba pozitivan
0.0242
Slaba negativan
-0.0234
Slaba negativan
-0.0420
Slaba pozitivan
0.0280
Slaba pozitivan
0.0824
Slaba negativan
-0.0099
Slaba negativan
-0.0551
Answer 10-
Slaba pozitivan
0.0165
Slaba negativan
-0.0378
Slaba negativan
-0.0547
Slaba negativan
-0.0176
Slaba pozitivan
0.0019
Slaba pozitivan
0.0566
Slaba pozitivan
0.0289
Answer 11-
Slaba pozitivan
0.0146
Slaba pozitivan
3.46E-5
Slaba pozitivan
0.0290
Slaba negativan
-0.0583
Slaba negativan
-0.0296
Slaba negativan
-0.0094
Slaba pozitivan
0.0558
Answer 12-
Slaba negativan
-0.0069
Slaba pozitivan
0.0343
Slaba pozitivan
0.0508
Slaba pozitivan
0.0414
Slaba negativan
-0.0658
Slaba pozitivan
0.0075
Slaba negativan
-0.0442
Answer 13-
Slaba negativan
-0.0955
Slaba negativan
-0.0364
Slaba negativan
-0.0180
Slaba pozitivan
0.0054
Slaba pozitivan
0.0261
Slaba pozitivan
0.0732
Slaba pozitivan
0.0073
Answer 14-
Slaba pozitivan
0.0035
Slaba pozitivan
0.0867
Slaba negativan
-0.0352
Slaba negativan
-0.0661
Slaba negativan
-0.0264
Slaba negativan
-0.0137
Slaba pozitivan
0.0689


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


2023.11.27
Valerii kosenko
Vlasnik proizvoda SaaS SDTEST®

Valerii je 1993. godine stekao zvanje socijalnog pedagoga-psihologa i od tada svoje znanje primjenjuje u upravljanju projektima.
Valerii je 2013. stekao magisterij i kvalifikaciju voditelja projekta i programa. Tijekom magistarskog programa upoznao se s Planom projekta (GPM Deutsche Gesellschaft für Projektmanagement e. V.) i Spiralnom dinamikom.
Valerii je autor istraživanja neizvjesnosti V.U.C.A. koncept koji koristi Spiralnu dinamiku i matematičku statistiku u psihologiji, te 38 međunarodnih anketa.
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Bok tamo! Dopustite mi da vas pitam, da li ste već upoznati sa spiralnom dinamikom?