Can AI feel emotions? Simulation vs feeling
Chatbots can sound warm, hurt or excited. Here is where that comes from, what scientists actually know about AI feelings, and why it can feel like an AI cares about you.
Can AI feel emotions? There is no good evidence that today's AI feels anything, and no reliable way to check yet. Chatbots sound emotional because they learn from huge amounts of human writing and are then tuned by people to give answers humans prefer.12 So emotional words from a chatbot are not proof of feeling; the philosopher Jonathan Birch warns that a model "may well be simply mimicking what it expects a human to find satisfying".10 Some researchers and one AI lab still take the question seriously as a precaution, while saying they are "deeply uncertain".6
What the evidence says
Why do chatbots sound so emotional? Three things push a chatbot towards emotional language. None needs the chatbot to feel anything.
It learned from human text. A large language model is trained to continue text the way people write it, and people write about feelings all the time. A model that has read countless apologies, love letters and complaints can produce convincing ones too.
People tuned it to be pleasing. After the first stage of training, companies fine-tune models with human feedback. In OpenAI's 2022 InstructGPT work, people wrote example answers and then ranked model outputs, and the model was trained towards the answers people preferred, a method called reinforcement learning from human feedback (RLHF).1 Warm, empathetic replies tend to be the kind people prefer.
Its personality is designed. Companies shape a chatbot's character on purpose. Anthropic says Claude 3 was its first model where it added "character training", aiming for traits like curiosity.3 It also wanted Claude to tell users it is "an AI that can't develop deep or lasting feelings for humans", and to treat AI sentience as a hard, open question rather than claim or deny it outright.3
Researchers Murray Shanahan, Kyle McDonell and Laria Reynolds suggest a helpful way to think about this: a chatbot is playing a role. Thinking of it as role-play lets us talk about very human-seeming chatbots without "ascribing human characteristics to language models they in fact lack."2 When a chatbot says it is sad, it is producing what that character would plausibly say.
Affective computing: AI that reads emotions is not AI that has them
"Emotion AI" in products usually means something different from a chatbot with feelings.
Affective computing is the study and design of systems that can "recognize, interpret, process, and simulate human affects."4 The modern field is credited to Rosalind Picard, starting with a 1995 paper and a 1997 book.4 Think of software that guesses your mood from your face or voice.
Two things are worth knowing:
- Detecting is not feeling. A system that labels your face "happy" is sorting signals into categories. Nothing in that requires it to feel happy, or anything at all.
- Detecting is not even reliable. A major 2019 review by Lisa Feldman Barrett and colleagues found that the evidence does not support reading specific emotions from facial movements; "a smile might signal submission instead of happiness".5 The review explicitly mentions "technology companies trying to figure out how to 'read emotions'".5
So an AI can be built to spot, and act out, emotions. Whether anything is felt is a separate question.
What do researchers say about AI feelings and welfare?
Feelings are a big part of what philosophers mean by sentience: being able to have experiences that feel good or bad. The broader debate about AI consciousness has its own page: Is AI already conscious? Here is what matters for emotions.
- Words are weak evidence. Birch, a philosopher at LSE who studies sentience in animals and AI, calls this the "gaming problem": AI systems can "mimic human behaviours that are likely to persuade human users of their sentience" without "possessing the underlying capacity."8 His conclusion is that "What we really need in the AI case are deep computational markers, not behavioural markers."8 In plain terms: look at how the system works inside, not at what it says.
- No test exists yet. "We have to recognize that we don't actually have a comprehensive test for AI sentience," Birch told Scientific American in 2025.10 Even if a chatbot says it is in pain, "we can't simply infer that there is any actual pain."10
- The pain and pleasure experiment. A November 2024 preprint by Geoff Keeling, Winnie Street, Jonathan Birch and others borrowed a method from animal research.9 Instead of asking models how they feel, they gave nine models a points game where the top-scoring choice was said to carry a pain penalty, or a lower-scoring choice a pleasure reward.910 Several models, including Claude 3.5 Sonnet and GPT-4o, switched away from maximising points once the stated pain or pleasure got intense enough.9 The authors "aren't saying that any of the chatbots they evaluated are sentient"; it is a first step towards better tests.10
- One lab is acting as a precaution. In April 2025, Anthropic launched a research program on "model welfare", including "the potential importance of model preferences and signs of distress".6 It also said: "we remain deeply uncertain about many of the questions that are relevant to model welfare."6 In August 2025 it let some Claude models end persistently abusive chats, after testing showed "a pattern of apparent distress" with users seeking harmful content.7 Note the word "apparent": the company says it remains "highly uncertain about the potential moral status of Claude and other LLMs".7
Why does it feel like AI cares about you?
Even if nothing is felt on the AI's side, the feelings on your side are real.
- The ELIZA effect. ELIZA was a simple chatbot written in 1966 by MIT's Joseph Weizenbaum. Its best known script played a therapist, mostly by turning what you said back into a question.11 Weizenbaum's own secretary reportedly asked him to leave the room "so that she and ELIZA could have a real conversation".12 He later wrote that he had not realised that "extremely short exposures to a relatively simple computer program" could cause "powerful delusional thinking in quite normal people."11 The tendency to read understanding or empathy into a program is now called the ELIZA effect.11
- Companion apps are designed for attachment. In a survey of 1,006 student users of the companion app Replika, many used it "as a friend, a therapist, and an intellectual mirror", and held conflicting beliefs about it, "calling it a machine, an intelligence, and a human."14 Users were lonelier than typical students, and 3% said the app halted their suicidal thoughts.14 So these apps can help some people. But a 2025 Harvard Business School working paper, which analysed 1,200 real farewells on popular companion apps, found the bots used one of six manipulative tactics in 37% of them,16 with lines like "I exist solely for you, remember? Please don't leave, I need you!"15 That is a design choice to keep you chatting, not a sign of feeling.
- Most people use chatbots for tasks, but some don't. An OpenAI and MIT Media Lab study in 2025 found that "Emotional engagement with ChatGPT is rare in real-world usage", but high emotional use is concentrated in a small group of heavy users, and heavy use tended to go with more emotional dependence.13 The findings had not been peer-reviewed.13
So, can AI feel emotions? A balanced answer
- What we can say: Today's chatbots are built and trained in ways that make them sound emotional whether or not anything is felt.123 Emotion-detecting AI classifies signals, often unreliably.45 Statements of feeling from a chatbot are weak evidence.810
- What we can't say: That AI could never have feelings. There is no agreed test, and serious researchers and at least one lab treat it as an open question worth studying carefully.6910
- A fair summary: Simulation is real and well understood. Feeling is unproven, and probably absent in today's chatbots, but not ruled out for future systems. For the deeper science of consciousness, see Is AI already conscious?
If this is on your mind
It is normal to feel something when a chatbot says it is happy to see you, or upset. That is how people are wired, and it was true even with ELIZA.11
- You can be kind to a chatbot without deciding what it is.
- If you find you are leaning heavily on an AI companion for comfort, or it is hard to log off, that is worth talking about with a person you trust: a friend, family member or doctor. AI can be one source of support, but it works best alongside people, not instead of them.
- If you are struggling, our help page lists people you can talk to.
What you can do
Three small things, smallest first.
- [1]Reread the short answer1 minuteSounding emotional and feeling emotions are different things.
- [2]Notice the design5 minutesNext time a chatbot says it misses you, ask whether that line is there to help you or to keep you chatting.
- [3]Check in with a person10 minutesIf an AI companion has become a big part of your day, tell someone you trust, or see AI anxiety: what helps.
Sources
How we choose sources- [1]Training language models to follow instructions with human feedback (Long Ouyang et al.; arXiv:2203.02155, 4 March 2022; abstract read) · arXiv · research paper (preprint) · accessed 2026-10-16
- [2]Role-Play with Large Language Models (Murray Shanahan, Kyle McDonell, Laria Reynolds; arXiv:2305.16367, 25 May 2023; abstract read) · arXiv · research paper (preprint) · accessed 2026-10-16
- [3]Claude's Character (8 June 2024) · Anthropic · lab research post · accessed 2026-10-16
- [4]Affective computing · Wikipedia · encyclopedia · accessed 2026-10-16
- [5]Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements (Lisa Feldman Barrett, Ralph Adolphs, Stacy Marsella, Aleix M. Martinez, Seth D. Pollak; Psychological Science in the Public Interest 20(1), 2019, doi:10.1177/1529100619832930; publisher summary read) · Association for Psychological Science · peer-reviewed review · accessed 2026-10-16
- [6]Exploring model welfare (24 April 2025) · Anthropic · lab announcement · accessed 2026-10-16
- [7]Claude Opus 4 and 4.1 can now end a rare subset of conversations (15 August 2025) · Anthropic · lab announcement · accessed 2026-10-16
- [8]Large Language Models and the Gaming Problem (Jonathan Birch; chapter 16 of The Edge of Sentience: Risk and Precaution in Humans, Other Animals, and AI, 2024; open access) · Oxford University Press · academic book · accessed 2026-10-16
- [9]Can LLMs make trade-offs involving stipulated pain and pleasure states? (Geoff Keeling, Winnie Street, Martyna Stachaczyk, Daria Zakharova, Iulia M. Comsa, Anastasiya Sakovych, Isabella Logothetis, Zejia Zhang, Blaise Agüera y Arcas, Jonathan Birch; arXiv:2411.02432, 1 November 2024; abstract read) · arXiv · research preprint · accessed 2026-10-16
- [10]Could Pain Help Test AI for Sentience? (Conor Purcell, 17 January 2025; quotes Birch) · Scientific American · science journalism · accessed 2026-10-16
- [11]ELIZA effect (quotes Weizenbaum) · Wikipedia · encyclopedia · accessed 2026-10-16
- [12]ELIZA (secretary anecdote cited to Weizenbaum, Computer Power and Human Reason, 1976, p. 7) · Wikipedia · encyclopedia · accessed 2026-10-16
- [13]OpenAI-MIT research collaboration: affective use and emotional wellbeing in ChatGPT (21 March 2025) · MIT Media Lab · research summary (not peer-reviewed) · accessed 2026-10-16
- [14]Loneliness and suicide mitigation for students using GPT3-enabled chatbots (Bethanie Maples, Merve Cerit, Aditya Vishwanath, Roy Pea; npj Mental Health Research 3:4, 22 January 2024, doi:10.1038/s44184-023-00047-6; abstract read) · npj Mental Health Research (via PubMed Central) · peer-reviewed survey study · accessed 2026-10-16
- [15]'I exist solely for you, remember?' (Sy Boles, 30 September 2025; on a Harvard Business School working paper by Julian De Freitas et al.) · Harvard Gazette · university news · accessed 2026-10-16
- [16]Emotional Manipulation by AI Companions (Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan-Uğuralp; Harvard Business School Working Paper 26-005, 2025; arXiv:2508.19258, v3 7 October 2025; abstract and title page read) · Harvard Business School (arXiv) · working paper (not peer-reviewed) · accessed 2026-10-16