Использованы научные методы и подходы, функциональный анализ английской и русской терминологии, лингвокогнитивный анализ и систематизация данных.
| artificial general intelligence (agi) | Artificial general intelligence has not yet been realized and would be when an ai system can learn, understand, and solve any problem that a human can. |
| artificial narrow intelligence (ani) | Ai can solve narrow problems and this is called artificial narrow intelligence. for example, a smartphone can use facial recognition to identify photos of an individual in the photos app, but that... |
| black boxes | We call things we don’t understand, “black boxes” because what happens inside the box cannot be seen. many machine learning algorithms are “black boxes” meaning that we don’t have an understanding... |
| chat-based generative pre-trained transformer (chatgpt) models | A system built with a neural network transformer type of ai model that works well in natural language processing tasks (see definitions for neural networks and natural language processing below). ... |
| critical ai | Critical ai is an approach to examining ai from a perspective that focuses on reflective assessment and critique as a way of understanding and challenging existing and historical structures within... |
| explainable machine learning (xml) or explainable ai (xai) | Researchers have developed a set of processes and methods that allow humans to better understand the results and outputs of machine learning algorithms. this helps developers of ai-mediated tools ... |
| foundation models | Foundation models represent a large amount of data that can be used as a foundation for developing other models. for example, generative ai systems use large language foundation models. they can b... |
| generative ai (genai) | A type of machine learning that generates content, currently such as text, images, music, videos, and can create 3d models from 2d input. see chatgpt definition, chatgpt is a specific example of g... |
| human-centered perspective | A human-centered perspective sees ai systems working with humans and helping to augment human skills. people should always play a leading role in education, and ai systems should not replace teach... |
| intelligence augmentation (ia) | Augmenting means making something greater; in some cases, perhaps it means making it possible to do the same task with less effort. maybe it means letting a human (perhaps teacher) choose to not d... |
| intelligent tutoring systems (its) | A computer system or digital learning environment that gives instant and custom feedback to students. an intelligent tutoring system may use rule-based ai (rules provided by a human) or use machin... |
| interpretable machine learning (iml) | Interpretable machine learning, sometimes also called interpretable ai, describes the creation of models that are inherently interpretable in that they provide their own explanations for their dec... |
| machine learning (ml) | - Machine learning is a field of study with a range of approaches to developing algorithms that can be used in ai systems. ai is a more general term. in ml, an algorithm will identify rules and ...
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| natural language processing (nlp) | - Natural language processing is a field of linguistics and computer science that also overlaps with ai. nlp uses an understanding of the structure, grammar, and meaning in words to help compute...
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| neural networks (nn) | Neural networks also called artificial neural networks (ann) and are a subset of ml algorithms. they were inspired by the interconnections of neurons and synapses in a human brain. in a neural net... |
| nlp technologies help in many situations that include | Scanning texts to turn them into editable text (optical character recognition), speech to text, voice-based computer help systems, grammatical correction (like auto-correct or grammarly), summariz... |
| robots | Robots are embodied mechanical machines that are capable of doing a physical task for humans. “bots” are typically software agents that perform tasks in a software application (e.g., in an intelli... |
| self-attention mechanism | These mechanisms, also referred to as attention help systems determine the important aspects of input in different ways. there are several types and were inspired by how humans can direct their at... |
| transformer models | Used in genai (the t stands for transformer), transformer models are a type of language model. they are neural networks and also classified as deep learning models. they give ai systems the abilit... |
| user experience design/user interface design (ux/ui) | User-experience/user-interface design refers to the overall experience users have with a product. these approaches are not limited to ai work. product designers implement ux/ui approaches to desig... |
| chatbot | A computer program or ai application that interacts with customers in real-time through a chat interface. |
| transfer learning | A technique in machine learning where knowledge gained from training one model on one task |
| self-service channels | Ai-powered channels or tools that allow customers to find information, resolve issues, |
| agent assist | Ai-powered tools or systems that provide real-time guidance and suggestions to contact centre |
| intelligent virtual agent (iva) | An ai-powered chatbot or virtual assistant that interacts with customers in natural |
| chat analytics | The analysis of chat transcripts or conversations between customers and chatbots or agents. aidriven |
| customer journey analytics | The analysis of customer interactions and touchpoints across multiple channels and |
| call routing optimisation | The application of ai algorithms to intelligently route incoming customer calls to the |
| sentiment analysis | The process of analysing and determining the sentiment or emotional tone of customer |
| omni-channel integration | The seamless integration of multiple communication channels (e.g., phone). |
| artificial intelligence (ai) | The simulation of human intelligence processes by machines, typically through the use |
| emotion detection | The use of ai algorithms to identify and analyse customer emotions based on vocal cues or |
| voice biometrics | The use of ai algorithms to identify and authenticate individuals based on their unique vocal |
| quality assurance (qa) automation | The use of ai technologies to automate the monitoring and evaluation of |
| virtual queue management | The use of ai to intelligently manage customer wait times and queues in contact |
| robotic process automation (rpa) | The use of software robots or ai-driven automation tools to automate repetitive |
