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 = 0.0727
Normalna distribucija, William Sealy Gosset (student) r = 0.0727
Ne normalna distribucija, Spearman r = 0.003
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
0.0734
Slaba pozitivan
0.0222
Slaba pozitivan
0.0930
Slaba negativan
-0.1129
Slaba negativan
-0.0082
Slaba negativan
-0.0441
Slaba pozitivan
0.0172
Answer 2-
Slaba pozitivan
0.0176
Slaba negativan
-0.0064
Slaba pozitivan
0.0439
Slaba negativan
-0.0235
Slaba pozitivan
0.0411
Slaba negativan
-0.0037
Slaba negativan
-0.0536
Answer 3-
Slaba negativan
-0.0237
Slaba negativan
-0.0293
Slaba pozitivan
0.0041
Slaba pozitivan
0.0580
Slaba negativan
-0.0254
Slaba negativan
-0.0131
Slaba pozitivan
0.0056
Answer 4-
Slaba pozitivan
0.0353
Slaba negativan
-0.0020
Slaba pozitivan
0.0147
Slaba negativan
-0.0434
Slaba negativan
-0.0329
Slaba negativan
-0.0045
Slaba pozitivan
0.0461
Answer 5-
Slaba negativan
-0.0159
Slaba negativan
-0.0257
Slaba negativan
-0.0233
Slaba pozitivan
0.0425
Slaba pozitivan
0.0329
Slaba pozitivan
0.0241
Slaba negativan
-0.0546
Answer 6-
Slaba negativan
-0.0137
Slaba negativan
-0.0525
Slaba negativan
-0.0709
Slaba pozitivan
0.0701
Slaba negativan
-0.0147
Slaba pozitivan
0.0443
Slaba pozitivan
0.0137
Answer 7-
Slaba negativan
-0.0651
Slaba pozitivan
0.0972
Slaba negativan
-0.0603
Slaba negativan
-0.0026
Slaba pozitivan
0.0092
Slaba negativan
-0.0026
Slaba pozitivan
0.0252
2) Kontrola (koliko se slažete ili ne slažete?)
Answer 8-
Slaba pozitivan
0.0139
Slaba pozitivan
0.0048
Slaba pozitivan
0.0805
Slaba pozitivan
0.0622
Slaba negativan
-0.0317
Slaba negativan
-0.0783
Slaba negativan
-0.0456
Answer 9-
Slaba pozitivan
0.0230
Slaba negativan
-0.0258
Slaba negativan
-0.0352
Slaba pozitivan
0.0274
Slaba pozitivan
0.0832
Slaba negativan
-0.0126
Slaba negativan
-0.0582
Answer 10-
Slaba pozitivan
0.0143
Slaba negativan
-0.0423
Slaba negativan
-0.0553
Slaba negativan
-0.0195
Slaba pozitivan
0.0021
Slaba pozitivan
0.0614
Slaba pozitivan
0.0320
Answer 11-
Slaba pozitivan
0.0256
Slaba pozitivan
0.0035
Slaba pozitivan
0.0149
Slaba negativan
-0.0597
Slaba negativan
-0.0187
Slaba negativan
-0.0176
Slaba pozitivan
0.0573
Answer 12-
Slaba negativan
-0.0173
Slaba pozitivan
0.0347
Slaba pozitivan
0.0531
Slaba pozitivan
0.0412
Slaba negativan
-0.0701
Slaba pozitivan
0.0068
Slaba negativan
-0.0464
Answer 13-
Slaba negativan
-0.0930
Slaba negativan
-0.0342
Slaba negativan
-0.0141
Slaba pozitivan
0.0112
Slaba pozitivan
0.0211
Slaba pozitivan
0.0739
Slaba pozitivan
0.0020
Answer 14-
Slaba pozitivan
0.0002
Slaba pozitivan
0.0882
Slaba negativan
-0.0341
Slaba negativan
-0.0785
Slaba negativan
-0.0241
Slaba negativan
-0.0070
Slaba pozitivan
0.0777


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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?