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.


人工智能和文明的终结

國家
語言
-
Mail
重新计算
所有问题
所有问题
1) 安全(您同意或不同意多少?)
2) 控制(您同意或不同意多少?)
1
1) 安全(您同意或不同意多少?)
Answer 1
10%
Answer 2
22%
Answer 2
18%
Answer 3
14%
Answer 4
8%
Answer 5
15%
Answer 6
14%
2) 控制(您同意或不同意多少?)
Answer 7
23%
Answer 8
23%
Answer 8
18%
Answer 9
13%
Answer 10
6%
Answer 11
9%
Answer 12
8%

在图表上显示553结果
分享, %
40
35
30
25
20
15
10
5
0
在商业自己的农场家族企业启动个人业务业务流程管理项目管理社交网络互利双赢的行为合成
管理风格 手动 常规的 创新的
在生活中生存家庭关系统治力真理的力量竞赛人际关系灵活的流全球视野
颜色米色紫色红色蓝色橙色绿色黄色青绿色
按投票平均, %0541320172318
國家
好的
取消
0651318182317
語言
好的
取消
0551320172317
5 10 15 20 25 30 35 40
圖表
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vuca-541@sdtest.org.cn
vuca-542@sdtest.org.cn
vuca-543@sdtest.org.cn
vuca-544@sdtest.org.cn
vuca-545@sdtest.org.cn
vuca-546@sdtest.org.cn

出口到MS Excel
您自己的VUCA民意调查中可以使用此功能
好的



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


2023.11.27
Valerii Kosenko
产品所有者SaaS宠物项目SDTEST®

Valeri于1993年获得社会教育心理学家资格,并将其知识应用于项目管理。
Valeri于2013年获得硕士学位以及项目和项目经理资格。在硕士课程期间,他熟悉了项目路线图(GPM Deutsche Gesellschaft für Projektmanagement e.V.)和螺旋动力学。
Valeri参加了各种螺旋动力学测试,并利用他的知识和经验调整了当前版本的SDTEST。
Valeri在20多项国际民意调查中,利用螺旋动力学和心理学数理统计,探索了V.U.C.A.概念的不确定性。
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1
你好呀!让我问你,您已经熟悉螺旋动态吗?