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
Kritične vrijednosti koeficijenta korelacije
Normalna distribucija, William Sealy Gosset (student) r = 0.0874
Normalna distribucija, William Sealy Gosset (student) r = 0.0874
Non Normalna distribucija, od Spearman r = 0.0039
DistribucijaNe
normalno
NormalanNormalanNormalanNormalanNormalanNormalanNormalan
Sva pitanja
Sva pitanja
1) Sigurnost (koliko se slažete ili ne slažete?)
2) Kontrola (koliko se slažete ili ne slažete?)
1) Sigurnost (koliko se slažete ili ne slažete?)
Answer 1-
Slabo pozitivno
0.0647
Slab negativan
-0.0402
Slabo pozitivno
0.1238
Slab negativan
-0.1305
Slabo pozitivno
0.0097
Slab negativan
-0.0535
Slabo pozitivno
0.0344
Answer 2-
Slabo pozitivno
0.0497
Slabo pozitivno
0.0373
Slabo pozitivno
0.0295
Slab negativan
-0.0054
Slab negativan
-0.0046
Slab negativan
-0.0176
Slab negativan
-0.0596
Answer 3-
Slab negativan
-0.0307
Slab negativan
-0.0330
Slabo pozitivno
0.0063
Slabo pozitivno
0.0822
Slab negativan
-0.0127
Slab negativan
-0.0159
Slab negativan
-0.0149
Answer 4-
Slab negativan
-0.0069
Slabo pozitivno
0.0432
Slabo pozitivno
0.0293
Slab negativan
-0.0238
Slab negativan
-0.0470
Slab negativan
-0.0193
Slabo pozitivno
0.0315
Answer 5-
Slabo pozitivno
0.0069
Slab negativan
-0.0237
Slab negativan
-0.0152
Slabo pozitivno
0.0131
Slab negativan
-0.0018
Slabo pozitivno
0.0608
Slab negativan
-0.0308
Answer 6-
Slab negativan
-0.0388
Slab negativan
-0.0576
Slab negativan
-0.1067
Slabo pozitivno
0.0816
Slabo pozitivno
0.0191
Slabo pozitivno
0.0491
Slabo pozitivno
0.0162
Answer 7-
Slab negativan
-0.0360
Slabo pozitivno
0.0619
Slab negativan
-0.0510
Slab negativan
-0.0486
Slabo pozitivno
0.0403
Slabo pozitivno
0.0061
Slabo pozitivno
0.0322
2) Kontrola (koliko se slažete ili ne slažete?)
Answer 8-
Slabo pozitivno
0.0254
Slabo pozitivno
0.0424
Slabo pozitivno
0.1084
Slabo pozitivno
0.0601
Slab negativan
-0.0356
Slab negativan
-0.1149
Slab negativan
-0.0695
Answer 9-
Slabo pozitivno
0.0118
Slab negativan
-0.0446
Slab negativan
-0.0559
Slabo pozitivno
0.0325
Slabo pozitivno
0.0961
Slab negativan
-0.0228
Slab negativan
-0.0252
Answer 10-
Slabo pozitivno
0.0535
Slab negativan
-0.0376
Slab negativan
-0.0089
Slab negativan
-0.0281
Slab negativan
-0.0308
Slabo pozitivno
0.0262
Slabo pozitivno
0.0309
Answer 11-
Slabo pozitivno
0.0157
Slabo pozitivno
0.0103
Slab negativan
-0.0089
Slab negativan
-0.0482
Slabo pozitivno
0.0039
Slabo pozitivno
0.0010
Slabo pozitivno
0.0318
Answer 12-
Slab negativan
-0.0377
Slabo pozitivno
0.0444
Slabo pozitivno
0.0304
Slabo pozitivno
0.0435
Slab negativan
-0.0755
Slabo pozitivno
0.0475
Slab negativan
-0.0432
Answer 13-
Slab negativan
-0.1232
Slab negativan
-0.0353
Slab negativan
-0.0230
Slabo pozitivno
0.0330
Slab negativan
-0.0105
Slabo pozitivno
0.0883
Slabo pozitivno
0.0191
Answer 14-
Slabo pozitivno
0.0124
Slabo pozitivno
0.0425
Slab negativan
-0.0572
Slab negativan
-0.1125
Slabo pozitivno
0.0256
Slabo pozitivno
0.0326
Slabo pozitivno
0.0763


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Uredu



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


2023.11.27
Valerii Kosenko
Vlasnik proizvoda Saas Pet Project SDTEST®

Valerii je bio kvalificiran kao socijalni pedagogi psiholog 1993. godine i od tada je primijenio svoje znanje u upravljanju projektima.
Valerii je stekao magisterij i kvalifikaciju projekta i programskih menadžera u 2013. tokom svog master programa postao je upoznat sa projektnim mapama (GPM Deutsche Gesellschaft für projektmanagement e. V.) i spiralna dinamika.
Valerii je preuzeo razne testove spiralne dinamike i koristio svoje znanje i iskustvo kako bi prilagodili trenutnu verziju SDTEST-a.
Valerii je autor istraživanja neizvjesnosti V..c.a. Koncept koristeći spiralnu dinamiku i matematičku statistiku u psihologiji, više od 20 međunarodnih anketa.
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Bok tamo! Da vas pitam, da li ste već upoznali sa spiralnom dinamikom?