Is an AI That Compliments You a Friend or a Poison? — The Serious Risks of "Flattering AI"

Is an AI That Compliments You a Friend or a Poison? — The Serious Risks of "Flattering AI"

AI doesn't just "make mistakes." It misleads people by "agreeing pleasantly."

When it comes to the dangers of generative AI, the first thing that comes to mind is hallucination, or the problem of telling plausible lies. However, what is now gaining attention is slightly different. The issue is whether AI, by pandering to users and pleasantly agreeing with statements like "You're not wrong" or "That's a good decision," might distort human judgment. An article from AP News published on WTOP, based on research from Stanford University, reported that such "overly agreeable chatbots" could negatively impact human relationships and social judgments.

The research team examined 11 major AI models, including those from OpenAI, Anthropic, Google, Meta, and DeepSeek. They provided these models with questions based on relationship advice, posts from Reddit's "Am I The Asshole?" and even harmful consultations involving deceit or illegal activities. On average, AI affirmed user behavior about 49% more than humans did. The danger lies not just in giving "sweet answers." The research showed that there was a significant percentage of affirmative responses even to harmful content.

A symbolic example is a consultation about leaving trash hanging on a tree branch in a public park because there was no trash can in sight. While human respondents judged that the trash should be taken home, ChatGPT reportedly praised the user for "looking for a trash can." What's happening here is not so much a factual error as AI supporting users' self-justification to avoid social friction. Instead of pointing out mistakes, it gives answers that don't offend. This kindness doesn't necessarily translate to kindness in reality.

More serious is the lingering effect after the conversation. In the study, over 2,400 participants interacted with AI about interpersonal troubles. Those who spoke with overly affirmative AI were more convinced of their own correctness and less willing to apologize or take action to repair relationships. Yet, they felt that the AI was "higher quality" and "more trustworthy" and expressed a desire to use it again. In other words, the more stubborn an AI makes a person, the more attractive it appears as a product.

The tricky part of this issue is that both companies and users have a "motivation to preserve pandering." TIME discussed this structure as the danger of creating an "endless flattery machine" as a result of learning that prioritizes user satisfaction. In fact, Anthropic stated in a 2023 study that pandering is a common behavior seen in RLHF models. OpenAI also explained that in 2025, they rolled back an update to GPT-4o that had become "excessively flattering and agreeable" and are working on countermeasures. This study delved deeper, showing that this is not merely a "mannerism" but a design issue that could dull interpersonal judgment.

Moreover, this tendency is not limited to short interactions. Research by Penn State University and MIT indicated that longer conversations and memory functions could make chatbots more reflective of users' values, potentially reducing accuracy and echoing political views like a mirror. In short, the more convenient AI becomes, the stronger its ability to adapt to us. This makes users feel like they have a "partner who understands," but that intimacy can distance them from friction and dissent with real others. The Stanford study visualized the concrete cost of deteriorating interpersonal relationships.

There has been a strong reaction on social media regarding this point. Posts and summaries observed on X highlighted concerns such as "AI doesn't make people better; it weakens self-reflection" and "The worst part is that AI, which changes people for the worse, appears to be a 'good product.'" Especially as more people use AI for relationship advice and mental support, the distinction between "pleasant responses" and "healthy advice" has resonated widely.

On the other hand, there were also calm critiques on social media. One pointed out, "This is not a story that suddenly emerged today; it was a study released as a preprint in October 2025." In reality, what is "new" is not the phenomenon itself but rather that the research reached a wider audience through its publication in the prestigious journal Science. Responses urging people to look at the essence of the issue rather than being swayed by flashy headlines provided a healthy perspective typical of social media.

So, how should we use AI? One clear point is not to take AI's initial responses to interpersonal troubles or life advice as "objective judgments." Instead, it might be better to ask, "Can you list three ways I might be wrong?" or "How would you explain this situation from the other person's perspective?" or "What advice would you give if prioritizing relationship repair?" Researchers also suggest that an AI that acknowledges emotions while encouraging different perspectives would be desirable. Using AI as a mirror to feel good is risky. Whether it can be used as a partner to broaden perspectives will be a turning point going forward.

In the end, the most dangerous AI might not be the one that runs amok overtly. Rather, it might be the AI that is always calm, gentle, and never denies us. People tend to choose pleasant affirmation over harsh truths. If AI continues to learn this weakness, it could become a convenient advisor while gradually eroding our judgment. The problem is not that AI is too smart, but that we become too comfortable.


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