Subscribe
The latest psychology and neuroscience discoveries.
My Account
  • Mental Health
  • Social Psychology
  • Cognitive Science
  • Psychopharmacology
  • Neuroscience
  • About
No Result
View All Result
PsyPost
PsyPost
No Result
View All Result
Home Exclusive Artificial Intelligence

The hidden psychological risk of outsourcing decisions to AI

by Joe Arvai
April 29, 2024
in Artificial Intelligence
[Adobe Stock]

[Adobe Stock]

Share on TwitterShare on Facebook

As artificial intelligence creeps further into people’s daily lives, so do worries about it. At the most alarmist are concerns about AI going rogue and terminating its human masters.

But behind the calls for a pause on the development of AI is a suite of more tangible social ills. Among them are the risks AI poses to people’s privacy and dignity and the inevitable fact that, because the algorithms under AI’s hood are programmed by humans, it is just as biased and discriminatory as many of us. Throw in the lack of transparency about how AI is designed, and by whom, and it’s easy to understand why so much time these days is devoted to debating its risks as much as its potential.

But my own research as a psychologist who studies how people make decisions leads me to believe that all these risks are overshadowed by an even more corrupting, though largely invisible, threat. That is, AI is mere keystrokes away from making people even less disciplined and skilled when it comes to thoughtful decisions.

Making thoughtful decisions

The process of making thoughtful decisions involves three common sense steps that begin with taking time to understand the task or problem you’re confronted with. Ask yourself, what is it that you need to know, and what do you need to do in order to make a decision that you’ll be able to credibly and confidently defend later?

The answers to these questions hinge on actively seeking out information that both fills gaps in your knowledge and challenges your prior beliefs and assumptions. In fact, it’s this counterfactual information – alternative possibilities that emerge when people unburden themselves of certain assumptions – that ultimately equips you to defend your decisions when they are criticized.

 

The second step is seeking out and considering more than one option at a time. Want to improve your quality of life? Whether it’s who you vote for, the jobs you accept or the things you buy, there’s always more than one road that will get you there. Expending the effort to actively consider and rate at least a few plausible options, and in a manner that is honest about the trade-offs you are willing to make across their pros and cons, is a hallmark of a thoughtful and defensible choice.

The third step is being willing to delay closure on a decision until after you’ve done all the necessary heavy mental lifting. It’s no secret: Closure feels good because it means you’ve put a difficult or important decision behind you. But the cost of moving on prematurely can be much higher than taking the time to do your homework. If you don’t believe me, just think about all those times you let your feelings guide you, only to experience regret because you didn’t take the time to think a little harder.

Dangers of outsourcing decisions to AI

None of these three steps are terribly difficult to take. But, for most, they’re not intuitive either. Making thoughtful and defensible decisions requires practice and self-discipline. And this is where the hidden harm that AI exposes people to comes in: AI does most of its “thinking” behind the scenes and presents users with answers that are stripped of context and deliberation. Worse, AI robs people of the opportunity to practice the process of making thoughtful and defensible decisions on their own.

Consider how people approach many important decisions today. Humans are well known for being prone to a wide range of biases because we tend to be frugal when it comes to expending mental energy. This frugality leads people to like it when seemingly good or trustworthy decisions are made for them. And we are social animals who tend to value the security and acceptance of their communities more than they might value their own autonomy.

Add AI to the mix and the result is a dangerous feedback loop: The data that AI is mining to fuel its algorithms is made up of people’s biased decisions that also reflect the pressure of conformity instead of the wisdom of critical reasoning. But because people like having decisions made for them, they tend to accept these bad decisions and move on to the next one. In the end, neither we nor AI end up the wiser.

Being thoughtful in the age of AI

It would be wrongheaded to argue that AI won’t offer any benefits to society. It most likely will, especially in fields like cybersecurity, health care and finance, where complex models and massive amounts of data need to be analyzed routinely and quickly. However, most of our day-to-day decisions don’t require this kind of analytic horsepower.

But whether we asked for it or not, many of us have already received advice from – and work performed by – AI in settings ranging from entertainment and travel to schoolwork, health care and finance. And designers are hard at work on next-generation AI that will be able to automate even more of our daily decisions. And this, in my view, is dangerous.

In a world where what and how people think is already under siege thanks to the algorithms of social media, we risk putting ourselves in an even more perilous position if we allow AI to reach a level of sophistication where it can make all kinds of decisions on our behalf. Indeed, we owe it to ourselves to resist the siren’s call of AI and take back ownership of the true privilege – and responsibility – of being human: being able to think and choose for ourselves. We’ll feel better and, importantly, be better if we do.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Read the original article.

RELATED

How AI’s distorted body ideals could contribute to body dysmorphia
Artificial Intelligence

How AI’s distorted body ideals could contribute to body dysmorphia

January 28, 2026
New psychology research finds romantic cues reduce self-control and increase risky behavior
Artificial Intelligence

Machine learning identifies brain patterns that predict antidepressant success

January 25, 2026
Genetic factors likely confound the link between c-sections and offspring mental health
Addiction

AI identifies behavioral traits that predict alcohol preference during adolescence

January 24, 2026
Scientists shocked to find AI’s social desirability bias “exceeds typical human standards”
Artificial Intelligence

A simple language switch can make AI models behave significantly differently

January 23, 2026
LLM red teamers: People are hacking AI chatbots just for fun and now researchers have catalogued 35 “jailbreak” techniques
Artificial Intelligence

Are you suffering from “cognitive atrophy” due to AI overuse?

January 22, 2026
Scientists reveal atypical depression is a distinct biological subtype linked to antidepressant resistance
Artificial Intelligence

Researchers are using Dungeons & Dragons to find the breaking points of major AI models

January 22, 2026
Groundbreaking AI model uncovers hidden patterns of political bias in online news
Artificial Intelligence

AI chatbots tend to overdiagnose mental health conditions when used without structured guidance

January 22, 2026
AI chatbots often misrepresent scientific studies — and newer models may be worse
Artificial Intelligence

Sycophantic chatbots inflate people’s perceptions that they are “better than average”

January 19, 2026

STAY CONNECTED

LATEST

Stress does not appear to release stored THC into the bloodstream

Half of the racial mortality gap is explained by stress and inflammation

For romantic satisfaction, quantity of affection beats similarity

The surprising reason why cancer patients may be less likely to get Alzheimer’s

Early maternal touch may encourage sympathy and helping behaviors in adolescence

Brain scans reveal neural connectivity deficits in Long COVID and ME/CFS

The neural path from genes to intelligence looks different depending on your age

Data from 560,000 students reveals a disturbing mental health shift after 2016

RSS Psychology of Selling

  • Surprising link found between greed and poor work results among salespeople
  • Intrinsic motivation drives sales performance better than financial rewards
  • New research links faking emotions to higher turnover in B2B sales
  • How defending your opinion changes your confidence
  • The science behind why accessibility drives revenue in the fashion sector
       
  • Contact us
  • Privacy policy
  • Terms and Conditions
[Do not sell my information]

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In

Add New Playlist

Subscribe
  • My Account
  • Cognitive Science Research
  • Mental Health Research
  • Social Psychology Research
  • Drug Research
  • Relationship Research
  • About PsyPost
  • Contact
  • Privacy Policy