Struggling with a hard life choice? AI future selves have tips 4%

By Sujata Gupta27%

7/24/2026, 3:00:00 PM

BS Summary: This article contains 8 faulty reasoning types, including Framing Effect, False Dilemma, and Confirmation Bias, with Optimism Bias as the most egregious example at 11.1% saturation with 125 hits. Analysis detected 363 faulty-reasoning hits from 1,127 analyzed words, generating a BS Score of 17.3% and a BS Rank of 4% (21,124 of 21,886 articles). This article is better (less manipulative) than 96.50% of the article peer group.

In each installment of the *Back to the Future* movie franchise, a time machine drives the same general script: The main character must rewrite a moment in time to fix his family and friends’ lives. 
Though some may find the tech creepy, many researchers are intrigued. 
People who can draw a mental line connecting where they are now and where they want to go  known as future self-continuity  tend to act in ways that will benefit their future selves, such as saving more money, considerable research shows. 
People who view their future selves as strangers, in contrast, often muddle through decisions and may experience intense regret. 
Scientists have long sought to help people connect with their future selves, such as through vivid imagination exercises or writing a letter to an older version of oneself. 
Relative to those low-tech interventions, researchers suspect that newfangled avatars could help people think more concretely think about their futures, with important caveats. 
A chatbot that helps people envision attainable goals could help; a chatbot that reinforces people’s unattainable fantasies could do the opposite, says social psychologist Anne Wilson. 
Problematically, she adds, AI tools are known to “blow a lot of smoke.”   
And, as two distinct AI designs show, avatars project the worldview of their creator, underpinning the disparate ways machines can guide people through their potential futures. 
A virtual time machine influences people’s choices 
People are turning to AI for advice, with one survey suggesting 1 in 3 U.S. adults has used chatbots for help with a career decision. 
Yet such advice usually lacks personalization. 
“The more information any algorithm has about you, the more it can predict what you might value,” says Wilson, of Wilfrid Laurier University in Waterloo, Canada. 
To that end, Pataranutaporn and colleagues are using various AI tools to age people’s images by 30 years and then animate them. 
The team is also feeding Claude Sonnet 4.5 detailed questionnaires filled out by individuals. 
With that visual and contextual information, avatars can generate hypothetical but realistic future “memories.” 
The team's prior work suggests that chatting with one wizened digital version of themselves helps young people bond with their future selves and envision their lives in a decade. 
This time, the researchers divided almost 200 participants facing a tough decision into four groups that interacted with various avatars. 
The numbers of avatars people chatted with varied. 
A person pondering career choices might spend a few minutes chatting with an avatar who became a doctor, avatars who became a doctor or an engineer or avatars who became a doctor, engineer or a bioengineering professor, a novel AI-generated suggestion. 
A fourth group, the control, simply imagined their future selves as they weighed a life decision. 
Research shows imagining negative futures can increase mental distress, so the team focused solely on positive outcomes. 
Strikingly, participants who spoke with the three avatars said they'd choose the AI-generated suggestion 20 percent of the time, the team reported at the 2026 Proceedings of the Augmented Humans International Conference. 
That’s compared with less than 3 percent of participants in the control condition, who were simply asked if they would select a previously unconsidered path. 
Whether people stick with their inclinations after the experiment remains to be seen, Pataranutaporn says. 
But the AI-generated option “shows how people can really imagine futures which they would not have thought of by themselves.” 
Not everyone is as positive. 
The novel option may tap people’s deeper desires or manipulate them into following a bad path, says decision scientist Simon van Baal of the University of Leeds in England. 
Marketing research shows that companies can lure people to subpar options because they’re shiny and new, he says. 
“Whether AI is really adding something here, that’s the question. 
That’s not really answered by this paper.” 
Identifying ingredients of a hard choice might build a bot guide 
Other criticisms run deeper  to the root of why people struggle with decisions in the first place. 
Most people, social scientists included, assume that choices about the future are hard because they entail uncertainty and fear, says philosopher Ruth Chang, of the University of Oxford in England. 
The best path forward, then, is to gather as much information as possible, potentially with help from a chatbot. 
That framing is wrong, Chang argues in the Spring 2017 *Journal of the American Philosophical Association*. 
Fear and uncertainty play a part. 
But the central issue with a hard choice is that no option is objectively superior, yet any choice sets people on markedly different life paths. 
The options are “on a par,” Chang says.   
People do really struggle most with decisions that involve choosing between conflicting core values, researchers reported in April 2025 in the *Proceedings of the National Academy of Sciences*. 
For instance, should a person care for their aging family or pursue a high-flying career? 
  
Chang is developing an AI chatbot to help people navigate gut-wrenching decisions. 
Her tool will run people through exercises that take hours to complete. 
One exercise pushes people to reflect on whether the decision before them is truly hard. 
Another runs through how options might play out for the better  or worse. 
“My  agent helps you think about a choice,” Chang says. 
“Can you commit to one kind of path as opposed to another?” 
Users may realize they aren’t ready to commit. 
Then, the rational, if uncomfortable, choice may be to wait, Chang says. 
For those ready to commit, Chang says, the decision can be empowering, affirming identity with a choice that declares: “I am this kind of person.”  
Avatar or human, that’s the question 
Avatars from the future are flashy, but are they better than humans? 
That’s unclear, says van Baal, who wishes the MIT study's control group talked with a living, breathing person instead of mulling their thoughts alone. 
“That’s what people in our lives do all the time,” he says. 
But if they're speaking with like-minded people, they probably aren't seeing all the possibilities, says behavioral scientist Adrian Camilleri. 
Preliminary research published in March suggests that “AI tools can act as a sounding board to offer unusual or disconfirming advice that broadens a person's perspective,” says Camilleri, of the University of Technology Sydney. 
Except there’s a hitch. 
In that provisional work, at least, the chatbot advised hypothetical higher-income participants to dream big and focus on long-term benefits. 
It advised lower-income participants to take less risks and focus on short-term stability.  
The time machine in the *Back to the Future* movies is prone to glitching in unforeseen ways, in one instance sending its inventor to 1885 instead of 1985. 
Is it so surprising, then, that virtual time machines might also emit the occasional burp? 
Article reasoning-pattern comparisonThis article: 2.9%Sujata Gupta: 2.2%Science News: 2.6%Confirmation Bias2.9%This article: 0.0%Sujata Gupta: 2.7%Science News: 1.1%Anchoring Bias0.0%This article: 2.2%Sujata Gupta: 2.7%Science News: 2.6%Availability Heuristic2.2%This article: 0.0%Sujata Gupta: 2.5%Science News: 1.5%Representativeness Heuristic0.0%This article: 0.0%Sujata Gupta: 0.4%Science News: 0.4%Hindsight Bias0.0%This article: 0.0%Sujata Gupta: 3.4%Science News: 2.3%Overconfidence Bias0.0%This article: 6.9%Sujata Gupta: 2.6%Science News: 4.1%Framing Effect6.9%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.3%Loss Aversion0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.4%Status Quo Bias0.0%This article: 0.0%Sujata Gupta: 0.5%Science News: 0.2%Sunk Cost Effect0.0%This article: 11.1%Sujata Gupta: 3.5%Science News: 4.0%Optimism Bias11.1%This article: 0.0%Sujata Gupta: 0.0%Science News: 1.5%Pessimism Bias0.0%This article: 1.7%Sujata Gupta: 3.8%Science News: 4.1%Negativity Bias1.7%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.4%Self-Serving Bias0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.5%Fundamental Attribution Error0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.1%Actor-Observer Bias0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.1%In-Group Bias0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 1.3%Halo Effect0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.0%Horn Effect0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 1.0%Recency Bias0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.3%Primacy Effect0.0%This article: 0.0%Sujata Gupta: 0.4%Science News: 0.1%Blind-Spot Bias0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.1%Ad Hominem0.0%This article: 0.0%Sujata Gupta: 1.0%Science News: 0.2%Straw Man0.0%This article: 0.0%Sujata Gupta: 0.5%Science News: 4.4%Appeal to Authority0.0%This article: 4.9%Sujata Gupta: 2.6%Science News: 1.2%False Dilemma4.9%This article: 1.3%Sujata Gupta: 0.3%Science News: 1.1%Slippery Slope1.3%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.1%Circular Reasoning0.0%This article: 1.2%Sujata Gupta: 3.7%Science News: 3.9%Hasty Generalization1.2%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.0%Red Herring0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.3%Bandwagon0.0%This article: 0.0%Sujata Gupta: 1.1%Science News: 2.5%Appeal to Emotion0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.5%Begging the Question0.0%This article: 0.0%Sujata Gupta: 1.7%Science News: 2.5%Post Hoc (False Cause)0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.0%Tu Quoque0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.5%Burden of Proof0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.3%Appeal to Nature0.0%This article: 0.0%Sujata Gupta: 0.7%Science News: 0.3%Composition/Division0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 1.2%Anecdotal0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.1%No True Scotsman0.0%This article: 0.0%Sujata Gupta: 0.4%Science News: 1.6%Ambiguity (Equivocation)0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.2%Middle Ground0.0%This article: 0.0%Sujata Gupta: 1.0%Science News: 0.1%Personal Incredulity0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.0%Special Pleading0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.0%Genetic Fallacy0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.7%Unattributed Quote0.0%This article: 0.0%Sujata Gupta: 1.2%Science News: 0.6%Quote-first Misdirection0.0%This article: 0.0%Sujata Gupta: 0.3%Science News: 2.6%Biased Writer Voice0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.9%Indoctrination0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.4%Politically Left Leaning Bias0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Sujata Gupta: 0.0%Science News: 0.4%Attempt to Sell a Product or S…0.0%

1127 words analyzed.

Speakers

5speakers31%attributed speech775writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 6 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageWriter's voice • 35 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 43 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageAnne Wilson • 26 words • 0.0% coverageAnne Wilson • 13 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 7 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageAnne Wilson • 26 words • 0.0% coverageWriter's voice • 22 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 41 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 25 words • 0.0% coveragePataranutaporn • 15 words • 0.0% coveragePataranutaporn • 20 words • 0.0% coverageWriter's voice • 5 words • 0.0% coverageSimon van Baal • 29 words • 0.0% coverageSimon van Baal • 18 words • 0.0% coverageSimon van Baal • 10 words • 0.0% coverageSimon van Baal • 7 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageRuth Chang • 30 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageRuth Chang • 9 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageRuth Chang • 11 words • 0.0% coverageRuth Chang • 12 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageRuth Chang • 12 words • 0.0% coverageRuth Chang • 25 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageSimon van Baal • 24 words • 0.0% coverageSimon van Baal • 12 words • 0.0% coverageAdrian Camilleri • 19 words • 0.0% coverageAdrian Camilleri • 34 words • 0.0% coverageWriter's voice • 4 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 28 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverage
Selected voice

Adrian Camilleri

64%flagged-word coverage
53 attributed words15% of attributed speech28% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.