Artificial Intelligence in Psychology: 9 Examples & Apps (2023)

Artificial Intelligence in Psychology: 9 Examples & Apps (1)The first chatbot, ELIZA, was created by MIT’s Joseph Weizenbaum as long ago as 1966.

Named after Eliza Doolittle from George Bernard Shaw’s play Pygmalion, this early conversational software imitated a psychotherapist (Weizenbaum, 1976; Mullins, 2005).

While its intelligence was limited, simply rewording patients’ phrases as questions, Eliza proved incredibly convincing.

Its most famous script, DOCTOR, successfully simulates the renowned psychologist Carl Rogers (ELIZA, n.d.).

Patient: I am unhappy
ELIZA: Can you explain what made you unhappy?

At the time, it was the next step in a much longer journey toward intelligent software and artificial intelligence (AI).

This article explores AI’s recent developments in psychology and its future potential.

Before you continue, we thought you might like to download our three Positive Psychology Exercises for free. These science-based exercises will explore fundamental aspects of positive psychology including strengths, values, and self-compassion, and will give you the tools to enhance the wellbeing of your clients, students, or employees.

This Article Contains:

  • The Role of Artificial Intelligence in Psychology
  • 5 Examples of AI Use in Psychology
  • How to Use AI for Psychological Testing
  • Using Artificial Intelligence in Cognitive Psychology
  • Top 4 AI-Based Psychology Apps
  • 5 Artificial Intelligence and Psychology Degrees
  •’s Relevant Resources
  • A Take-Home Message
  • References

The Role of Artificial Intelligence in Psychology

The term AI is typically used to describe both the “technology designed to perform activities that normally require human intelligence” and the multidisciplinary field of science concerned with understanding and developing that technology (Luxton, 2014).

From robots to software distributed across networks, AI is now a commonly used term. And while it can mean different levels of complexity and performance depending on the context and the commentator, it emulates either complex human behavior or specialized intelligent functions.

Most importantly, AI can learn without being explicitly told how to do so.

Psychology, mental health in particular, is one of the more recent areas of focus for AI. As AI lengthens its reach, it is becoming increasingly crucial for psychologists, therapists, and counselors to understand the existing capacity and future potential for the technology to transform mental healthcare.

How can AI help mental health professionals?

(Video) What Is Artificial Intelligence? | 🔥Artificial Intelligence Course | AI In 5 Minutes | |Simplilearn

Luxton (2014) says that AI can simulate a practitioner, with capabilities beyond its human counterpart.

Indeed, the following examples of advanced technology perceive beyond our human senses to assess patients (Luxton, 2014):

  • Infrared imaging to recognize temperature changes
  • Facial recognition to confirm a patient’s identity
  • Optical sensing to analyze facial expression and eye blinking
  • Vocal analysis to perceive subtle differences in speech characteristics
  • Olfaction (smell) analysis to identify intoxication

While AI can conduct therapy sessions, e-therapy sessions, and assessments autonomously, it can also assist human practitioners before, during, or after sessions.

Physical assessments such as increased heart rate or temperature changes in response to challenging questions can provide valuable and insightful additional data for the clinician.

Not only that, recording data, managing record keeping, and triggering automatic follow-up actions would free up valuable time for the human professional.

AI as an expert system

Expert systems were one of the first uses for AI within the medical field. While not everyone agrees that expert systems qualify as AI, they undoubtedly assist decision making by combining knowledge and expertise from professionals.

While such systems have been around for several decades, their design has moved from predominantly rule-based logic to making decisions based on data mining and fuzzy logic – the cognitive scientists’ term for handling partial truths (Luxton, 2014).

Through enhancements such as adding speech recognition and natural language processing to expert systems, it is not difficult to imagine technology like Siri, Alexa, or Google Assistant offering therapist-like sessions or expert advice at relatively low costs and without clients having to leave their home.

AI provides other such opportunities. Combining its body of expertise with personal records can monitor health conditions and spot potential contraindications for medical treatments.

Additionally, AI-enabled clinical support systems offer increased capacity, handling a greater volume of highly complex data than their human counterparts could manage and making it available anywhere throughout the day. The burden of time-limited mental health resources can be significantly reduced, and AI can provide more focused engagement with those needing it most and when urgently required (Luxton, 2014).

Virtual worlds

Computer-generated simulated worlds, known as virtual reality (VR), offer a safe, cost-effective environment for patients to explore their issues. Through immersion, the environment can be made more real for the individual, tailoring circumstances and dialing stressors up or down.

Virtual companions, including digital pets, also promote wellbeing while managing loneliness in easily accessed environments (Luxton, 2014).

Virtual Reality Therapy can be a safe way to deal with post-traumatic stress disorder, and is discussed in our linked article.

Augmented reality overlays the potential flexibility of VR onto the actual world. It uses the readily available processing power of tablets and smartphones to safely connect individuals with the source of their anxiety or personal coaches.

How clients can heal when confronting their fears is also mentioned in our article about Exposure Therapy.

Computer games

Computer games have successfully increased engagement with reluctant patients and encouraged treatment adherence. By providing a discreet and gamified option for patients, AI-enhanced games can side-step the stigma associated with mental health treatment and provide realistic situations tailored to patients’ needs.

The online computer game Second Lifehas been successfully trialed as a vehicle for virtual coaching and directed gameplay to enable the patient to practice new skills (Linden Research, 2013; Luxton, 2014).

5 Examples of AI Use in Psychology

Artificial Intelligence in Psychology: 9 Examples & Apps (2)AI technology that supplements or even replaces the therapist, counselor, or other mental health professional is not in the realm of science fiction or even the near-future; it is available now.

(Video) Artificial intelligence and algorithms: pros and cons | DW Documentary (AI documentary)

Detection and Computational Analysis of Psychological Signal

The Detection and Computational Analysis of Psychological Signal project uses machine learning, computer vision, and natural language processing to analyze language, physical gestures, and social signals to identify cues for human distress.

This ground-breaking technology assesses soldiers returning from combat and recognizes those who require further mental health support. In the future, it will combine data captured during face-to-face interviews with information on sleeping, eating, and online behaviors for a complete patient view (Defense Applied Research Projects Agency, 2013).

Computer Science and Artificial Intelligence Laboratory

The Computer Science and Artificial Intelligence Laboratoryat Massachusetts Institute of Technology has successfully used AI to analyze digital video and identify subtle changes to an individual’s pulse rate and blood flow, undetectable to the human eye.

While extremely valuable during therapy sessions in uncovering nonverbal cues, it can also monitor trauma patients’ breathing or young babies in distress in hospitals (Hardesty, 2012).

Watson Health

Watson Health, IBM’s AI-enabled analysis tool, is now commercially available and comes loaded with medical literature to serve as both consultant and medical expert.

The incredible aim of this AI is to bring together data, technology, and expertise to stand in for or supplement professional physical and mental healthcare, performing diagnoses and suggesting treatments (IBM, 2020).


The RP-VITA robot has been approved by the U.S. Food and Drug Administration to provide remote communication between healthcare providers and patients. It monitors patients’ wellbeing remotely while accessing their medical records.

The system is multidisciplinary, providing support for psychological, neurological, cardiovascular, and critical care assessments and examinations (InTouch Health, 2020).

Mental Health Diagnostic Expert System

Mental Health Diagnostic Expert System uses advanced AI technology to encode expert knowledge of mental health disorders, which it then uses for diagnoses and proposing treatments.

The AI uses a combination of rule-based and fuzzy logic to understand patients’ needs, agreeing on treatment plans that suit their budgets and are appropriate alongside other health conditions (Masri & Mat Jani, 2012).

Combining the benefits of psychological expertise with AI-enabled technology is having a positive impact on patient treatment and healthcare. With the additional benefits of being cost effective and available remotely, it is likely to develop rapidly.

How to Use AI for Psychological Testing

De Mello and de Souza (2019) explored the potential for AI tools to assist data collection, analysis, testing, and evaluation in mental health.

AI technology offers valuable tools for therapy, combining techniques such as data mining (generating new information from deep analysis of large quantities of data) and expert analysis. AI opens up the potential to diagnose existing and potential problems, test, and confirm predictions and treatments.

When used to understand the data from 707 patients with suicidal tendencies in Greater Santiago, Chile, the AI identified a series of factors associated with suicidal ideation and behavior.

The findings led to a series of preventive interventions for at-risk individuals that reduced the risk of suicide and reinforced “psychological wellbeing, feelings of self-worth, and reasons for living” (Morales et al., 2017).

In 2017, Kravets, Poplavskaya, Lempert, Salnikova, and Medintseva created a model that used fuzzy logic to emulate psychiatric diagnoses. It successfully assessed patients and tested its mental health diagnoses based on incomplete knowledge.

Appropriate AI technology provides the means to piece together fragmented information, build mental models, test their validity, and suggest treatments (de Mello & de Souza, 2019).

Using Artificial Intelligence in Cognitive Psychology

Artificial Intelligence in Psychology: 9 Examples & Apps (3)Cognitive psychology attempts to understand cognition’s complexity through research, testing, and building models of how the human mind handles and processes complex information during attention, memory, and perception (Zivony, 2019).


AI and cognitive psychology share similar aims – to understand the nature of intelligent behavior – with the former attempting to build such processes using advanced technology.

And while computational modeling and AI have subtle differences, they are both valuable approaches for understanding the nature of intelligent thinking and providing insights into the growing field of cognitive psychology.

Computational modeling involves “programming computers to model or mimic aspects of human cognitive functioning” (Eysenck & Keane, 2015). Artificial intelligence’s underlying processes, on the other hand, typically bear no resemblance to the mechanisms used by the human brain.

Rather than attempt to develop computational models that help us understand human intelligence, the AI designer’s goal is to produce an outcome that appears intelligent. Such processes do not need to be functionally similar to those of a human.

However, there is one particular model that appears to bridge the gap between the two approaches.

Connectionismwas originally inspired by the network of neurons that exists within the brain. “Connectionist models typically consist of interconnected networks of simple units exhibiting learning” and model cognition with no explicit rules (Eysenck & Keane, 2015).

While the brain may be described as a highly complex neural network, and connectionist models have successfully modeled specific human-like processes (such as face recognition), the jury is still out regarding whether such models explain human cognition.

However, deep neural networks, inspired by cognitive psychology theories and methods, have had some success in explaining how children learn labels for objects and offer a great example of the benefits of combining knowledge and expertise from multiple disciplines (Ritter, Barrett, Santoro, & Botvinick, 2017).

Top 4 AI-Based Psychology Apps

While the use of AI in psychology remains a relatively new field, the ubiquity of smartphone technology means that many of us have hardware within easy reach to run the increasing number of AI-inspired psychology apps.

A sample is given below:


Artificial Intelligence in Psychology: 9 Examples & Apps (4)

Woebot, a 2019 Google Play Award winner, encourages the user to think through situations using tools inspired by Cognitive-Behavioral Therapy (CBT).

The mood tracker then shows the positive changes made over days and weeks.

Find the app in the Google Play Store.
Find the app in the Apple App Store.


Artificial Intelligence in Psychology: 9 Examples & Apps (5)

Youper provides a personalized emotional health assistant to help treat stress, anxiety, and depression.

The app uses techniques from several therapies, including CBT and mindfulness, to monitor and improve mental health through a series of brief conversations.

Find the app in the Google Play Store.
Find the app in the Apple App Store.

(Video) How China Is Using Artificial Intelligence in Classrooms | WSJ


Artificial Intelligence in Psychology: 9 Examples & Apps (6)

Replika is an AI-powered chatbot that provides an emotional connection and virtual friendship to support people going through depression, anxiety, or troublesome times.

Find the app in the Google Play Store.
Find the app in the Apple App Store.


Artificial Intelligence in Psychology: 9 Examples & Apps (7)

Tess is a web-based mental health chatbot that uses AI to offer the user wellness coping strategies. It promotes resilience through text-based conversations via Facebook messenger, SMS, and web browsers rather than an app.

Website access has to be purchased.

5 Artificial Intelligence and Psychology Degrees

Worldwide, many degrees teach the latest in AI and psychology; however, few integrate the two disciplines.

The following programs are ones we have identified that include elements of both.

  • Computational Neuroscience, Cognition and AI MSc, University of Nottingham, United Kingdom. School of Psychology.
    This is an interdisciplinary program combining aspects of psychology, mathematics, and computer science.
  • Digital Health MSc, Bournemouth University, United Kingdom. Faculty of Science and Technology.
    This program teaches students how to personalize and promote digital health through chatbots, wearable technology, and the Internet of Medical Things.
  • Artificial Intelligence: Cognitive Science MSc, Vrije Universiteit Amsterdam, The Netherlands. Faculty of Sciences.
    This master’s degree uses a multidisciplinary approach to learn about the mind and cognition. Researchers and staff are drawn from various backgrounds including psychology, AI, math, philosophy, and neuroscience.
  • Cognitive Science BSc, Carnegie Mellon University, Pennsylvania, United States.
    This interdisciplinary degree combines psychology, AI, neuroscience, and philosophy, with the shared goal of understanding intelligence.
  • Cognitive Science in Education, BSc, MA, and PhD, Columbia University, New York, United States.
    Teaching students to a bachelor’s, master’s, and doctorate level, these programs explore the cognitive mechanisms that underpin learning and thinking. Their goal is to improve educational practices and develop innovative methods built upon new technology.’s Relevant Resources

We have many tools and worksheets to help users gain greater awareness and understanding of emotions, intelligence, and mindsets. Use them to recognize and further develop your own or your clients’ unique talents.

  • Monitor your thoughts to discern what type of faulty thinking is triggered. Faulty thinking styles can derail thought processes. Identify your thinking style, and consider whether it is helpful or unhelpful.
  • If you’re looking for more science-based ways to help others enhance their wellbeing, this signature collection contains 17 validated positive psychology tools for practitioners. Use them to help others flourish and thrive.

A Take-Home Message

AI offers a promising approach to assist and sometimes replace selected practices involved in mental health assessment and treatment (Fiske, Henningsen, & Buyx, 2019).

The technology has the potential to provide new types of treatment (including virtual and augmented reality, and games) and the ability to engage with populations that are difficult to reach or engage with.

Such innovative approaches can also free therapists and mental health professionals’ time and resources to focus on urgent or more specialist care (Fiske et al., 2019).

However, there are inevitable ethical issues. At present, there is limited guidance on the development of such tools or how to integrate them with the work of health professionals, their existing technology and tools, and regulatory frameworks.

Other considerations when implementing AI solutions include understanding and agreeing on the level of human supervision required before, during, and after engaging with clients. At a minimum, assessment or intervention must respect and protect patient confidentiality and autonomy.

Yet, if risks from accidental or intentional misuse and ethical concerns are managed successfully, AI offers a practical approach to treat mental health on a large scale. It also provides the capacity to capture and analyze large amounts of data, with the potential for greater knowledge and understanding of mental health and the efficacy of treatments (Fiske et al., 2019).

We hope you enjoyed reading this article. Don’t forget to download our three Positive Psychology Exercises for free.


(Video) Top 10 Ai Apps - 10 Best AI Apps To Look Out For In 2022

  • de Mello, F. L., & de Souza, S. A. (2019). Psychotherapy and artificial intelligence: A Proposal for alignment. Frontiers in Psychology, 10.
  • Defense Applied Research Projects Agency. (2013). Detection and computational analysis of psychological signals (DCAPS). Retrieved from
  • ELIZA. (n.d.). InWikipedia. Retrieved February 15, 2021, from
  • Eysenck, M. W., & Keane, M. T. (2015). Cognitive psychology: A student’s handbook. Psychology Press.
  • Fiske, A., Henningsen, P., & Buyx, A. (2019). Your robot therapist will see you now: Ethical implications of embodied artificial intelligence in psychiatry, psychology, and psychotherapy. Journal of Medical Internet Research, 21(5).
  • Hardesty, L. (2012, June 22). Researchers amplify variations in video, making the invisible visible. MIT News. Retrieved from
  • IBM. (2020). Medical coding with IBM Watson. Retrieved from
  • InTouch Health. (2020). RP-VITA robot. Retrieved from
  • Kravets, A., Poplavskaya, O., Lempert, L., Salnikova, N., & Medintseva, I. (2017). The development of medical diagnostics module for psychotherapeutic practice. In A. Kravets, M. Shcherbakov, M. Kultsova, & P. Groumpos (Eds.) Creativity in intelligent technologies and data science (pp. 872–883). Springer International Publishing.
  • Linden Research. (2013). Second life (Version 1.3.2). Retrieved from
  • Luxton, D. D. (2014). Artificial intelligence in psychological practice: Current and future applications and implications. Professional Psychology: Research and Practice, 45(5), 332–339.
  • Masri, R. Y., & Mat Jani, H. (2012). Employing artificial intelligence techniques in Mental Health Diagnostic Expert System. 2012 International Conference on Computer & Information Science (ICCIS), 1, 495–499.
  • Morales, S., Barros, J., Echávarri, O., García, F., Osses, A., Moya, C., … Tomicic, A. (2017). Acute mental discomfort associated with suicide behavior in a clinical sample of patients with affective disorders: Ascertaining critical variables using artificial intelligence tools. Frontiers in Psychiatry, 8.
  • Mullins, J. (2005, April 20). Whatever happened to machines that think? New Scientist. Retrieved February 15, 2021, from
  • Ritter, S., Barrett, D. G. T., Santoro, A., & Botvinick, M. M. (2017). Cognitive psychology for deep neural networks: A shape bias case study. Proceedings of the 34th International Conference on Machine Learning, PMLR 70, 2940–2949.
  • Weizenbaum, J. (1976). Computer power and human reason: From judgment to calculation. Freeman.
  • Zivony, A. (2019, August 5). What is cognitive psychology? The British Academy. Retrieved February 16, 2021, from


What is Artificial Intelligence in Psychology with examples? ›

Reviewed by Psychology Today Staff. Artificial intelligence (AI), sometimes known as machine intelligence, refers to the ability of computers to perform human-like feats of cognition including learning, problem-solving, perception, decision-making, and speech and language.

What are the 4 powerful examples of Artificial Intelligence? ›

Artificial Intelligence Examples
  • Manufacturing robots.
  • Self-driving cars.
  • Smart assistants.
  • Healthcare management.
  • Automated financial investing.
  • Virtual travel booking agent.
  • Social media monitoring.
  • Marketing chatbots.
Aug 17, 2022

What is AI applications and examples of AI? ›

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.

How is Psychology used in Artificial Intelligence? ›

To that end, psychologists are helping develop and deploy AI software and technologies, including everything from therapeutic chatbots to facial-recognition systems. They're also amassing a robust literature on human-computer interaction, digital therapeutics, and the ethics of automation.

How does AI help mental health? ›

Many new innovations in AI can help increase access to mental health resources, provide personalized treatment plans, and even potentially diagnose illness. In today's world, the need for mental health resources is urgent.

How does technology help Psychology? ›

Technology has transformed the study of psychology. It has led to innovation in treatment, education, assessment, and research. Technology usually provides a more convenient and cheaper alternative when used for assessment and treatment purposes.

How AI is used in daily life? ›

Voice assistants, image recognition for face unlock in cellphones, and ML-based financial fraud detection are examples of AI software currently being used in everyday life. Typically, just downloading AI software from an online store and having no other devices is required.

How AI is used in social media? ›

An AI-powered social monitoring tool or social listening tool can deliver insights from your brand's social media profiles and audience. This often involves using the power of AI to analyze social data at scale, understand what's being said in them, then extracting insights based on that information.

What is artificial intelligence with examples PDF? ›

Artificial Intelligence or sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Some of the activities that it is designed to do is speech recognition, learning, planning and problem solving.

What are the five application of artificial intelligence? ›

AI Applications in Banking

Automation, chatbots, adaptive intelligence, algorithm trading, and ML are all used in financial activities. Several banks already use AI-based systems or software to provide customer service and identify abnormalities and fraud.

What are applications of artificial intelligence? ›

What Are the Applications of Artificial Intelligence?
  • Personalized Shopping. ...
  • AI-powered Assistants. ...
  • Fraud Prevention. ...
  • Administrative Tasks Automated to Aid Educators. ...
  • Creating Smart Content. ...
  • Voice Assistants. ...
  • Personalized Learning. ...
  • Autonomous Vehicles.
4 days ago

Is artificial intelligence part of Psychology? ›

Psychology and artificial intelligence are interconnected. Both point to mental processes, behavior, and emotions. But the fact that these are different disciplines doesn't mean they're mutually exclusive.

Can psychologists work in AI? ›

An AI psychologist would have to be able to relate and empathize with their patients to be effective. Psychology and artificial intelligence are always developing, however. The field of AI is exploring many exciting technologies, including: Machine learning.

Can AI have mental problems? ›

The possibility of mental illnesses occurring in artificially intelligent individuals necessitates the consideration that at some level, they may have achieved a mental capability of consciousness, sentience and rationality such that they can subsequently become dysfunctional.

What exactly AI means? ›

artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.

What is AI technology in healthcare? ›

AI in healthcare is an umbrella term to describe the application of machine learning (ML) algorithms and other cognitive technologies in medical settings. In the simplest sense, AI is when computers and other machines mimic human cognition, and are capable of learning, thinking, and making decisions or taking actions.

What kind of technology is used in psychology? ›

These technologies include: psychopharmacology, non-invasive brain stimulation, virtual reality environments, and big-data methods for large-scale multivariate analysis.

What are the new innovations in psychology? ›

These are the top 10 innovations in mental health
  • Telehealth and community-based mental healthcare during COVID-19. ...
  • Psychedelics to assist the treatment of psychiatric disorders. ...
  • Digital devices to revolutionize how research is done. ...
  • Digital tools to train providers and fill gaps in mental healthcare.
Sep 14, 2021

What is artificial intelligence in simple words? ›

What is artificial intelligence? Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.

What is artificial intelligence explain? ›

Artificial Intelligence (AI) Explained

In the simplest terms, AI which stands for artificial intelligence refers to systems or machines that mimic human intelligence to perform tasks and can iteratively improve themselves based on the information they collect. AI manifests in a number of forms.

What is artificial intelligence with examples PDF? ›

Artificial Intelligence or sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Some of the activities that it is designed to do is speech recognition, learning, planning and problem solving.

What is artificial intelligence and its types? ›

Artificial intelligence (AI) makes it possible for machines to use experience for learning, adjust to new inputs and perform human-like tasks. Artificial intelligence is generally divided into two types – narrow (or weak) AI and general AI, also known as AGI or strong AI.

How is artificial intelligence used? ›

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing.

Who is father of AI? ›

Abstract: If John McCarthy, the father of AI, were to coin a new phrase for "artificial intelligence" today, he would probably use "computational intelligence." McCarthy is not just the father of AI, he is also the inventor of the Lisp (list processing) language.

What is intelligence example? ›

The definition of intelligence is the ability to retain knowledge, use reasoning to solve problems or have above average brain power. An example of intelligence is someone obtaining their Ph. D. An example of intelligence is someone knowing that Dover is the capital of Delaware.

Why is artificial intelligence important? ›

Today, the amount of data that is generated, by both humans and machines, far outpaces humans' ability to absorb, interpret, and make complex decisions based on that data. Artificial intelligence forms the basis for all computer learning and is the future of all complex decision making.

What are the five types of AI systems? ›

Five important kinds of AI
  • Machine learning (ML) Machine learning is a sub-component of Artificial Intelligence. ...
  • Deep learning. This branch of AI tries to closely mimic the human mind. ...
  • Natural language processing (NLP) ...
  • Computer vision. ...
  • Explainable AI (XAI)

What are some good AI projects? ›

In this article, you will learn the 16 Artificial Intelligence Project Ideas & Topics. Take a glimpse below.
  • Predict Housing Price.
  • Enron Investigation.
  • Stock Price Prediction.
  • Customer Recommendation.
  • Chatbots.
  • Voice-based Virtual Assistant for Windows.
  • Facial Emotion Recognition and Detection.
Oct 4, 2022

What is artificial intelligence PPT? ›

 Artificial Intelligence : Artificial Intelligence (AI) is the simulation of human intelligence by machines. 1) The ability to solve problems. 2) The ability to act rationally. 3) The ability to act like humans.

Is Siri is an example of? ›

1 Answer. Yes, Siri is an example of Artificial Intelligence. Siri is a voice assistant developed by Apple Inc. using Machine Learning and Artificial Intelligence algorithms including CNN (Convolutional Neural Networks) and LSTM (Long short-term memory).

How many AI are there? ›

As of 2022, we recognize seven different types of artificial intelligence. These are the three types based on capabilities – Narrow AI, General AI, and Super AI. Based on functionalities AIs are Reactive Machines, Limited Theory, Theory of Mind, and Self-awareness.


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