Chatbot

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A virtual assistant chatbot Automated online assistant.png
A virtual assistant chatbot
The 1966 ELIZA chatbot ELIZA conversation.png
The 1966 ELIZA chatbot

A chatbot (originally chatterbot) is a software application that aims to mimic human conversation through text or voice interactions, typically online. [1] [2] The term "ChatterBot" was originally coined by Michael Mauldin (creator of the first Verbot) in 1994 to describe conversational programs. [3] Modern chatbots are artificial intelligence (AI) systems that are capable of maintaining a conversation with a user in natural language and simulating the way a human would behave as a conversational partner. Such technologies often utilize aspects of deep learning and natural language processing.

Contents

Recently this field has gained widespread attention due to the popularity of OpenAI's ChatGPT, [4] followed by alternatives such as Microsoft's Bing Chat (which uses OpenAI's GPT-4) and Google's Bard. [5] Such examples reflect the recent practice of such products being built based upon broad foundational large language models that get fine-tuned so as to target specific tasks or applications (i.e. simulating human conversation, in the case of chatbots). Chatbots can also be designed or customized to further target even more specific situations and/or particular subject-matter domains. [6]

A major area where chatbots have long been used is in customer service and support, such as with various sorts of virtual assistants. [7] Recently, companies spanning various industries have begun using the latest generative artificial intelligence technologies to power more advanced developments in such areas. [8]

Background

In 1950, Alan Turing's famous article "Computing Machinery and Intelligence" was published, [9] which proposed what is now called the Turing test as a criterion of intelligence. This criterion depends on the ability of a computer program to impersonate a human in a real-time written conversation with a human judge to the extent that the judge is unable to distinguish reliably—on the basis of the conversational content alone—between the program and a real human. The notoriety of Turing's proposed test stimulated great interest in Joseph Weizenbaum's program ELIZA, published in 1966, which seemed to be able to fool users into believing that they were conversing with a real human. However Weizenbaum himself did not claim that ELIZA was genuinely intelligent, and the introduction to his paper presented it more as a debunking exercise:

In artificial intelligence, machines are made to behave in wondrous ways, often sufficient to dazzle even the most experienced observer. But once a particular program is unmasked, once its inner workings are explained, its magic crumbles away; it stands revealed as a mere collection of procedures. The observer says to himself "I could have written that". With that thought, he moves the program in question from the shelf marked "intelligent", to that reserved for curios. The object of this paper is to cause just such a re-evaluation of the program about to be "explained". Few programs ever needed it more. [10]

ELIZA's key method of operation (copied by chatbot designers ever since) involves the recognition of clue words or phrases in the input, and the output of the corresponding pre-prepared or pre-programmed responses that can move the conversation forward in an apparently meaningful way (e.g. by responding to any input that contains the word 'MOTHER' with 'TELL ME MORE ABOUT YOUR FAMILY'). [10] Thus an illusion of understanding is generated, even though the processing involved has been merely superficial. ELIZA showed that such an illusion is surprisingly easy to generate because human judges are so ready to give the benefit of the doubt when conversational responses are capable of being interpreted as "intelligent".

Interface designers have come to appreciate that humans' readiness to interpret computer output as genuinely conversational—even when it is actually based on rather simple pattern-matching—can be exploited for useful purposes. Most people prefer to engage with programs that are human-like, and this gives chatbot-style techniques a potentially useful role in interactive systems that need to elicit information from users, as long as that information is relatively straightforward and falls into predictable categories. Thus, for example, online help systems can usefully employ chatbot techniques to identify the area of help that users require, potentially providing a "friendlier" interface than a more formal search or menu system. This sort of usage holds the prospect of moving chatbot technology from Weizenbaum's "shelf ... reserved for curios" to that marked "genuinely useful computational methods".

Development

Among the most notable early chatbots are ELIZA (1966) and PARRY (1972). [11] [12] [13] [14] More recent notable programs include A.L.I.C.E., Jabberwacky and D.U.D.E (Agence Nationale de la Recherche and CNRS 2006). While ELIZA and PARRY were used exclusively to simulate typed conversation, many chatbots now include other functional features, such as games and web searching abilities. In 1984, a book called The Policeman's Beard is Half Constructed was published, allegedly written by the chatbot Racter (though the program as released would not have been capable of doing so). [15]

One pertinent field of AI research is natural-language processing. Usually, weak AI fields employ specialized software or programming languages created specifically for the narrow function required. For example, A.L.I.C.E. uses a markup language called AIML, [2] which is specific to its function as a conversational agent, and has since been adopted by various other developers of, so-called, Alicebots. Nevertheless, A.L.I.C.E. is still purely based on pattern matching techniques without any reasoning capabilities, the same technique ELIZA was using back in 1966. This is not strong AI, which would require sapience and logical reasoning abilities.

Jabberwacky learns new responses and context based on real-time user interactions, rather than being driven from a static database. Some more recent chatbots also combine real-time learning with evolutionary algorithms that optimize their ability to communicate based on each conversation held. Still, there is currently no general purpose conversational artificial intelligence, and some software developers focus on the practical aspect, information retrieval.

Chatbot competitions focus on the Turing test or more specific goals. Two such annual contests are the Loebner Prize and The Chatterbox Challenge (the latter has been offline since 2015, however, materials can still be found from web archives). [16]

Chatbots may use neural networks as a language model. For example, generative pre-trained transformers (GPT), which use the transformer architecture, have become common to build sophisticated chatbots. The "pre-training" in its name refers to the initial training process on a large text corpus, which provides a solid foundation for the model to perform well on downstream tasks with limited amounts of task-specific data. An example of a GPT chatbot is ChatGPT. Despite criticism of its accuracy, ChatGPT has gained attention for its detailed responses and historical knowledge. Another example is BioGPT, developed by Microsoft, which focuses on answering biomedical questions. [17] [18]

DBpedia created a chatbot during the GSoC of 2017. [19] [20] [21] It can communicate through Facebook Messenger.

Application

Messaging apps

Many companies' chatbots run on messaging apps or simply via SMS. They are used for B2C customer service, sales and marketing. [22]

In 2016, Facebook Messenger allowed developers to place chatbots on their platform. There were 30,000 bots created for Messenger in the first six months, rising to 100,000 by September 2017. [23]

Since September 2017, this has also been as part of a pilot program on WhatsApp. Airlines KLM and Aeroméxico both announced their participation in the testing; [24] [25] [26] [27] both airlines had previously launched customer services on the Facebook Messenger platform.

The bots usually appear as one of the user's contacts, but can sometimes act as participants in a group chat.

Many banks, insurers, media companies, e-commerce companies, airlines, hotel chains, retailers, health care providers, government entities and restaurant chains have used chatbots to answer simple questions, increase customer engagement, [28] for promotion, and to offer additional ways to order from them. [29]

A 2017 study showed 4% of companies used chatbots. [30] According to a 2016 study, 80% of businesses said they intended to have one by 2020. [31]

As part of company apps and websites

Previous generations of chatbots were present on company websites, e.g. Ask Jenn from Alaska Airlines which debuted in 2008 [32] or Expedia's virtual customer service agent which launched in 2011. [32] [33] The newer generation of chatbots includes IBM Watson-powered "Rocky", introduced in February 2017 by the New York City-based e-commerce company Rare Carat to provide information to prospective diamond buyers. [34] [35]

Chatbot sequences

Used by marketers to script sequences of messages, very similar to an autoresponder sequence. Such sequences can be triggered by user opt-in or the use of keywords within user interactions. After a trigger occurs a sequence of messages is delivered until the next anticipated user response. Each user response is used in the decision tree to help the chatbot navigate the response sequences to deliver the correct response message.

Company internal platforms

Other companies explore ways they can use chatbots internally, for example for Customer Support, Human Resources, or even in Internet-of-Things (IoT) projects. Overstock.com, for one, has reportedly launched a chatbot named Mila to automate certain simple yet time-consuming processes when requesting sick leave. [36] Other large companies such as Lloyds Banking Group, Royal Bank of Scotland, Renault and Citroën are now using automated online assistants instead of call centres with humans to provide a first point of contact. A SaaS chatbot business ecosystem has been steadily growing since the F8 Conference when Facebook's Mark Zuckerberg unveiled that Messenger would allow chatbots into the app. [37] In large companies, like in hospitals and aviation organizations, IT architects are designing reference architectures for Intelligent Chatbots that are used to unlock and share knowledge and experience in the organization more efficiently, and reduce the errors in answers from expert service desks significantly. [38] These Intelligent Chatbots make use of all kinds of artificial intelligence like image moderation and natural-language understanding (NLU), natural-language generation (NLG), machine learning and deep learning.

Customer service

Many high-tech banking organizations are looking to integrate automated AI-based solutions such as chatbots into their customer service in order to provide faster and cheaper assistance to their clients who are becoming increasingly comfortable with technology. In particular, chatbots can efficiently conduct a dialogue, usually replacing other communication tools such as email, phone, or SMS. In banking, their major application is related to quick customer service answering common requests, as well as transactional support.

Several studies report significant reduction in the cost of customer services, expected to lead to billions of dollars of economic savings in the next ten years. [39] In 2019, Gartner predicted that by 2021, 15% of all customer service interactions globally will be handled completely by AI. [40] A study by Juniper Research in 2019 estimates retail sales resulting from chatbot-based interactions will reach $112 billion by 2023. [41]

Since 2016, when Facebook allowed businesses to deliver automated customer support, e-commerce guidance, content, and interactive experiences through chatbots, a large variety of chatbots were developed for the Facebook Messenger platform. [42]

In 2016, Russia-based Tochka Bank launched the world's first Facebook bot for a range of financial services, including a possibility of making payments. [43]

In July 2016, Barclays Africa also launched a Facebook chatbot, making it the first bank to do so in Africa. [44]

The France's third-largest bank by total assets [45] Société Générale launched their chatbot called SoBot in March 2018. While 80% of users of the SoBot expressed their satisfaction after having tested it, Société Générale deputy director Bertrand Cozzarolo stated that it will never replace the expertise provided by a human advisor. [46]

The advantages of using chatbots for customer interactions in banking include cost reduction, financial advice, and 24/7 support. [47] [48]

Healthcare

Chatbots are also appearing in the healthcare industry. [49] [50] A study suggested that physicians in the United States believed that chatbots would be most beneficial for scheduling doctor appointments, locating health clinics, or providing medication information. [51]

Whatsapp has teamed up with the World Health Organisation (WHO) to make a chatbot service that answers users’ questions on COVID-19. [52]

In 2020, The Indian Government launched a chatbot called MyGov Corona Helpdesk, [53] that worked through Whatsapp and helped people access information about the Coronavirus (COVID-19) pandemic. [54] [55]

Certain patient groups are still reluctant to use chatbots. A mixed-methods study showed that people are still hesitant to use chatbots for their healthcare due to poor understanding of the technological complexity, the lack of empathy, and concerns about cyber-security. [56] The analysis showed that while 6% had heard of a health chatbot and 3% had experience of using it, 67% perceived themselves as likely to use one within 12 months. The majority of participants would use a health chatbot for seeking general health information (78%), booking a medical appointment (78%), and looking for local health services (80%). However, a health chatbot was perceived as less suitable for seeking results of medical tests and seeking specialist advice such as sexual health. The analysis of attitudinal variables showed that most participants reported their preference for discussing their health with doctors (73%) and having access to reliable and accurate health information (93%). While 80% were curious about new technologies that could improve their health, 66% reported only seeking a doctor when experiencing a health problem and 65% thought that a chatbot was a good idea. Interestingly, 30% reported dislike about talking to computers, 41% felt it would be strange to discuss health matters with a chatbot and about half were unsure if they could trust the advice given by a chatbot. Therefore, perceived trustworthiness, individual attitudes towards bots, and dislike for talking to computers are the main barriers to health chatbots.

Politics

In New Zealand, the chatbot SAM – short for Semantic Analysis Machine [57] (made by Nick Gerritsen of Touchtech [58] ) – has been developed. It is designed to share its political thoughts, for example on topics such as climate change, healthcare and education, etc. It talks to people through Facebook Messenger. [59] [60] [61] [62]

In 2022, the chatbot "Leader Lars" or "Leder Lars" was nominated for The Synthetic Party to run in the Danish parliamentary election, [63] and was built by the artist collective Computer Lars. [64] Leader Lars differed from earlier virtual politicians by leading a political party and by not pretending to be an objective candidate. [65] This chatbot engaged in critical discussions on politics with users from around the world. [66]

In India, the state government has launched a chatbot for its Aaple Sarkar platform, [67] which provides conversational access to information regarding public services managed. [68] [69]

Toys

Chatbots have also been incorporated into devices not primarily meant for computing, such as toys. [70]

Hello Barbie is an Internet-connected version of the doll that uses a chatbot provided by the company ToyTalk, [71] which previously used the chatbot for a range of smartphone-based characters for children. [72] These characters' behaviors are constrained by a set of rules that in effect emulate a particular character and produce a storyline. [73]

The My Friend Cayla doll was marketed as a line of 18-inch (46 cm) dolls which uses speech recognition technology in conjunction with an Android or iOS mobile app to recognize the child's speech and have a conversation. It, like the Hello Barbie doll, attracted controversy due to vulnerabilities with the doll's Bluetooth stack and its use of data collected from the child's speech.

IBM's Watson computer has been used as the basis for chatbot-based educational toys for companies such as CogniToys [70] intended to interact with children for educational purposes. [74]

Malicious use

Malicious chatbots are frequently used to fill chat rooms with spam and advertisements, by mimicking human behavior and conversations or to entice people into revealing personal information, such as bank account numbers. They were commonly found on Yahoo! Messenger, Windows Live Messenger, AOL Instant Messenger and other instant messaging protocols. There has also been a published report of a chatbot used in a fake personal ad on a dating service's website. [75]

Tay, an AI chatbot that learns from previous interaction, caused major controversy due to it being targeted by internet trolls on Twitter. The bot was exploited, and after 16 hours began to send extremely offensive Tweets to users. This suggests that although the bot learned effectively from experience, adequate protection was not put in place to prevent misuse. [76]

If a text-sending algorithm can pass itself off as a human instead of a chatbot, its message would be more credible. Therefore, human-seeming chatbots with well-crafted online identities could start scattering fake news that seems plausible, for instance making false claims during an election. With enough chatbots, it might be even possible to achieve artificial social proof. [77] [78]

Limitations of chatbots

The creation and implementation of chatbots is still a developing area, heavily related to artificial intelligence and machine learning, so the provided solutions, while possessing obvious advantages, have some important limitations in terms of functionalities and use cases. However, this is changing over time.

The most common limitations are listed below: [79]

Chatbots and jobs

Chatbots are increasingly present in businesses and often are used to automate tasks that do not require skill-based talents. With customer service taking place via messaging apps as well as phone calls, there are growing numbers of use-cases where chatbot deployment gives organizations a clear return on investment. Call center workers may be particularly at risk from AI-driven chatbots. [81]

Chatbot jobs

Chatbot developers create, debug, and maintain applications that automate customer services or other communication processes. Their duties include reviewing and simplifying code when needed. They may also help companies implement bots in their operations.

A study by Forrester (June 2017) predicted that 25% of all jobs would be impacted by AI technologies by 2019. [82]

See also

Related Research Articles

An Internet bot, web robot, robot or simply bot, is a software application that runs automated tasks (scripts) over the Internet, usually with the intent to imitate human activity on the Internet, such as messaging, on a large scale. An Internet bot plays the client role in a client–server model whereas the server role is usually played by web servers. Internet bots are able to perform tasks, that are simple and repetitive, much faster than a person could ever do. The most extensive use of bots is for web crawling, in which an automated script fetches, analyzes and files information from web servers. More than half of all web traffic is generated by bots.

<span class="mw-page-title-main">Virtual assistant</span> Mobile software agent

A virtual assistant (VA) is a software agent that can perform a range of tasks or services for a user based on user input such as commands or questions, including oral ones. Such technologies often incorporate chatbot capabilities to simulate human conversation, such as via online chat, to facilitate interaction with their users. The interaction may be via text, graphical interface, or voice - as some virtual assistants are able to interpret human speech and respond via synthesized voices.

Kuki is an embodied AI bot designed to befriend humans in the metaverse. Formerly known as Mitsuku, Kuki is a chatbot created from Pandorabots AIML technology by Steve Worswick. It is a five-time winner of a Turing Test competition called the Loebner Prize, for which it holds a world record. Kuki is available to chat via an online portal, and on Facebook Messenger, Twitch group chat, Telegram, Kik Messenger, Discord, and was available on Skype, but was removed by its developer. The AI also has accounts on Instagram, TikTok, YouTube, and Twitter, as well as a game on Roblox.

<span class="mw-page-title-main">OpenAI</span> Artificial intelligence research organization

OpenAI is an American artificial intelligence (AI) research laboratory consisting of the non-profit OpenAI Incorporated and its for-profit subsidiary corporation OpenAI Limited Partnership. OpenAI conducts AI research with the declared intention of promoting and developing a friendly AI. OpenAI systems run on an Azure-based supercomputing platform from Microsoft.

niki.ai Artificial intelligence company

Niki was an artificial intelligence company headquartered in Bangalore, Karnataka. It was founded in May 2015 by IIT Kharagpur graduates Sachin Jaiswal, Keshav Prawasi, Shishir Modi, and Nitin Babel.

Zo was an artificial intelligence English-language chatbot developed by Microsoft. It was the successor to the chatbot Tay. Zo was an English version of Microsoft's other successful chatbots Xiaoice (China) and Rinna (Japan).

<span class="mw-page-title-main">M (virtual assistant)</span> Discontinued virtual assistant by Facebook

M was a virtual assistant by Facebook, first announced in August 2015, that could automatically complete tasks for users, such as purchase items, arrange gift deliveries, reserve restaurant tables, and arrange travel. By April 2017, it was available to about 10,000 users. It worked inside the Facebook Messenger instant messaging service.

<span class="mw-page-title-main">Witlingo</span> Software as a service company

Witlingo is a B2B Software as a Service (SaaS) company that enables businesses and organization of all sizes to use the latest innovations in Human Language Technology and Conversational AI, such Speech recognition, Natural Language Processing, IVR, Virtual Assistant apps on Smartphone platforms(iOS and Android), Chatbots, and Digital audio, to deeply engage with their communities.

Netomi, formerly msg.ai, is an American artificial intelligence company and developer of human–computer interaction technologies.

<span class="mw-page-title-main">Haptik</span> Indian enterprise conversational AI platform

Haptik is an Indian enterprise conversational AI platform founded in August 2013, and acquired by Reliance Industries Limited in 2019. The company develops technology to enable enterprises to build conversational AI systems that allow users to converse with applications and electronic devices in free-format, natural language, using speech or text. The company has been accorded numerous accolades including the Frost & Sullivan Award, NASSCOM's Al Game Changer Award, and serves Fortune 500 brands globally in industries such as financial, insurance, healthcare, technology and communications.

Yalochat is an artificial intelligence platform specializing in emerging markets. It is based in San Francisco with offices in Mexico City, Mumbai, Shanghai, Bogotá, and São Paulo.

Conversational commerce is e-commerce done via various means of conversation and using technology such as: speech recognition, speaker recognition, natural language processing and artificial intelligence.

Conversable is a SaaS based Artificial Intelligence (AI) powered conversational platform, headquartered in Austin, Texas. It allows customers to create intelligent, automated response flows through conversations in any messaging channel or voice platforms. It has offices in Austin and Dallas.

LaMDA is a family of conversational large language models developed by Google. Originally developed and introduced as Meena in 2020, the first-generation LaMDA was announced during the 2021 Google I/O keynote, while the second generation was announced the following year. In June 2022, LaMDA gained widespread attention when Google engineer Blake Lemoine made claims that the chatbot had become sentient. The scientific community has largely rejected Lemoine's claims, though it has led to conversations about the efficacy of the Turing test, which measures whether a computer can pass for a human. In February 2023, Google announced Bard, a conversational artificial intelligence chatbot powered by LaMDA, to counter the rise of OpenAI's ChatGPT.

ChatBot is software for creating chatbots.

<span class="mw-page-title-main">Yellow.ai</span>

Yellow.ai, formerly known as Yellow Messenger, is an enterprise conversational AI platform founded in 2016 and headquartered in San Mateo, California. It is an artificial intelligence platform that automates conversational experiences for customers and employees. It enables businesses to deliver human-like personalized interactions in the preferred language. The platform supports more than 135 languages.

<span class="mw-page-title-main">ChatGPT</span> AI chatbot developed by OpenAI

ChatGPT is an artificial intelligence (AI) chatbot developed by OpenAI and released in November 2022. The name "ChatGPT" combines "Chat", referring to its chatbot functionality, and "GPT", which stands for generative pre-trained transformer, a type of large language model (LLM). ChatGPT is built upon OpenAI's foundational GPT models, specifically GPT-3.5 and GPT-4, and has been fine-tuned for conversational applications using a combination of supervised and reinforcement learning techniques.

<span class="mw-page-title-main">Hallucination (artificial intelligence)</span> Confident unjustified claim by an AI

In artificial intelligence (AI), a hallucination or artificial hallucination is a confident response by an AI that does not seem to be justified by its training data, either because it is insufficient, biased or too specialised. For example, a hallucinating chatbot with no training data regarding Tesla's revenue might internally generate a random number that the algorithm ranks with high confidence, and then go on to falsely and repeatedly represent that Tesla's revenue is $13.6 billion, with no provided context that the figure was a product of the weakness of its generation algorithm.

<span class="mw-page-title-main">Generative pre-trained transformer</span> Type of large language model

Generative pretrained transformers (GPT) are a type of large language model (LLM) and a prominent framework for generative artificial intelligence. The first GPT was introduced in 2018 by the American artificial intelligence (AI) organization OpenAI. GPT models are artificial neural networks that are based on the transformer architecture, pretrained on large data sets of unlabelled text, and able to generate novel human-like content. As of 2023, most LLMs have these characteristics and are sometimes referred to broadly as GPTs.

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