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.


Kunstig intelligens og civilisationens afslutning

Land
Sprog
-
Mail
Beregner igen
Kritisk værdi af korrelationskoefficienten
Normal distribution af William Sealy Gosset (studerende) r = 0.0874
Normal distribution af William Sealy Gosset (studerende) r = 0.0874
Ikke normal distribution af Spearman r = 0.0039
FordelingIkke
normal
NormalNormalNormalNormalNormalNormalNormal
Alle spørgsmål
Alle spørgsmål
1) Sikkerhed (Hvor meget er du enig eller uenig?)
2) Kontrol (Hvor meget er du enig eller uenig?)
1) Sikkerhed (Hvor meget er du enig eller uenig?)
Answer 1-
Svag positiv
0.0647
Svag negativ
-0.0402
Svag positiv
0.1238
Svag negativ
-0.1305
Svag positiv
0.0097
Svag negativ
-0.0535
Svag positiv
0.0344
Answer 2-
Svag positiv
0.0497
Svag positiv
0.0373
Svag positiv
0.0295
Svag negativ
-0.0054
Svag negativ
-0.0046
Svag negativ
-0.0176
Svag negativ
-0.0596
Answer 3-
Svag negativ
-0.0307
Svag negativ
-0.0330
Svag positiv
0.0063
Svag positiv
0.0822
Svag negativ
-0.0127
Svag negativ
-0.0159
Svag negativ
-0.0149
Answer 4-
Svag negativ
-0.0069
Svag positiv
0.0432
Svag positiv
0.0293
Svag negativ
-0.0238
Svag negativ
-0.0470
Svag negativ
-0.0193
Svag positiv
0.0315
Answer 5-
Svag positiv
0.0069
Svag negativ
-0.0237
Svag negativ
-0.0152
Svag positiv
0.0131
Svag negativ
-0.0018
Svag positiv
0.0608
Svag negativ
-0.0308
Answer 6-
Svag negativ
-0.0388
Svag negativ
-0.0576
Svag negativ
-0.1067
Svag positiv
0.0816
Svag positiv
0.0191
Svag positiv
0.0491
Svag positiv
0.0162
Answer 7-
Svag negativ
-0.0360
Svag positiv
0.0619
Svag negativ
-0.0510
Svag negativ
-0.0486
Svag positiv
0.0403
Svag positiv
0.0061
Svag positiv
0.0322
2) Kontrol (Hvor meget er du enig eller uenig?)
Answer 8-
Svag positiv
0.0254
Svag positiv
0.0424
Svag positiv
0.1084
Svag positiv
0.0601
Svag negativ
-0.0356
Svag negativ
-0.1149
Svag negativ
-0.0695
Answer 9-
Svag positiv
0.0118
Svag negativ
-0.0446
Svag negativ
-0.0559
Svag positiv
0.0325
Svag positiv
0.0961
Svag negativ
-0.0228
Svag negativ
-0.0252
Answer 10-
Svag positiv
0.0535
Svag negativ
-0.0376
Svag negativ
-0.0089
Svag negativ
-0.0281
Svag negativ
-0.0308
Svag positiv
0.0262
Svag positiv
0.0309
Answer 11-
Svag positiv
0.0157
Svag positiv
0.0103
Svag negativ
-0.0089
Svag negativ
-0.0482
Svag positiv
0.0039
Svag positiv
0.0010
Svag positiv
0.0318
Answer 12-
Svag negativ
-0.0377
Svag positiv
0.0444
Svag positiv
0.0304
Svag positiv
0.0435
Svag negativ
-0.0755
Svag positiv
0.0475
Svag negativ
-0.0432
Answer 13-
Svag negativ
-0.1232
Svag negativ
-0.0353
Svag negativ
-0.0230
Svag positiv
0.0330
Svag negativ
-0.0105
Svag positiv
0.0883
Svag positiv
0.0191
Answer 14-
Svag positiv
0.0124
Svag positiv
0.0425
Svag negativ
-0.0572
Svag negativ
-0.1125
Svag positiv
0.0256
Svag positiv
0.0326
Svag positiv
0.0763


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


2023.11.27
Valerii Kosenko
Produktejer SaaS Pet Project SDTest®

Valerii blev kvalificeret som social pædagoge-psykolog i 1993 og har siden anvendt sin viden inden for projektledelse.
Valerii opnåede en kandidatgrad og projekt- og programlederkvalifikationen i 2013. Under sin kandidatuddannelse blev han fortrolig med Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement E. V.) og spiraldynamik.
Valerii tog forskellige spiraldynamikforsøg og brugte sin viden og erfaring til at tilpasse den aktuelle version af SDTest.
Valerii er forfatteren af ​​at udforske usikkerheden i V.U.C.A. Koncept ved hjælp af spiraldynamik og matematisk statistik inden for psykologi, mere end 20 internationale afstemninger.
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Hej! Lad mig spørge dig, kender du allerede spiraldynamikken?