| Artifical Intellligence - AI |
1) a field of computer science that aims at developing machines able to simulate human intelligence and problem-solving capabilities [IBM] 2) a machine learning system “that generates high-quality outputs such content, forecasts, recommendations or decisions for a given set of human-defined objectives” [ISO/IEC 22989:2022]. |
| AI ethics | A multidisciplinary field that studies how to ensure that AI is developed and used responsibly to optimise its beneficial impact while reducing risks and adverse outcomes. This means adopting a safe, secure, unbiased, and environmentally friendly approach to AI [Coursera; IBM]. |
| AI Halluciations | Incorrect or misleading results that AI systems generate, presented as fact. These errors can be caused by a variety of factors, including insufficient training data, incorrect assumptions made by the model, or biases in the data used to train the model [Google]. AI models do not “think” or verify information like humans do—they predict words and patterns based on their training data, which can sometimes lead to plausible but false responses. |
| Algorithm | A sequence of instructions given to a machine to perform a task or solve a problem. |
| Bias | In AI this refers to systematic favoritism or unfairness in AI systems, which can result from biased data or the way algorithms are designed. When AI models are trained on biased data, they can reinforce or amplify existing stereotypes, leading to skewed or unfair outcomes. |
| Big Data | Extremely large and diverse collections of structured, unstructured, and semi-structured data that continues to grow exponentially over time. These datasets are so huge and complex in volume, velocity, and variety, that traditional data management systems cannot store, process, and analyze them [Google]. |
| Bot | A computer program that is designed to perform an automated, repetitive task. It is programmed to look at the data given and then perform certain tasks accordingly. |
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Chatbot |
A Chatbot is a computer program that is designed to simulate a conversation between a person and a computer, usually with the human asking questions and the computer program attempting to answer. |
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Chat GPT |
AI language model developed by OpenAI. It’s based on the GPT (Generative Pre-trained Transformer) architecture, which is designed to understand and generate human-like text. ChatGPT can engage in conversations, answer questions, write essays, assist with coding, provide explanations, and more. The model is trained on a vast amount of text data, allowing it to generate responses that are contextually relevant and grammatically correct. It can be used for a variety of tasks, including: Customer support: Automating responses to user inquiries. There are different versions of ChatGPT, such as ChatGPT-3, and the latest being ChatGPT-4, which brings improvements in understanding and generating more nuanced responses. |
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Data science |
An interdisciplinary field that combines principles and practices from mathematics, statistics, and computer science to analyse large amounts of data and extract meaningful insights for business |
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Data Mining |
The process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.
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Deep Fake |
Pictures, video and voice often altered to deliberately generate misinformation and disinformation As AI makes the technology more accessible it is not exclusively used by scammers but in the television and movie industry, |
| Data Protection | Data protection refers to the practices and policies designed to safeguard personal and sensitive information from unauthorized access, loss, or misuse. It involves securing data through encryption, access controls, and compliance with privacy laws to ensure individuals' rights are respected. Effective data protection helps build trust, prevent identity theft, and comply with regulations like GDPR. |
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Ethics (AI) |
This is the field that focuses on the moral implications of artificial intelligence systems. It involves ensuring that AI is developed and used in ways that are fair, transparent, accountable, and respect human rights. Key concerns include bias in algorithms, privacy, safety, and the impact of AI on jobs and society, with the goal of ensuring that AI benefits humanity without causing harm or discrimination. |
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Glossary |
An alphabetical list of words and terminology in a subject area with explanations of what each word and term mean. |
| Genarative AI | Refers to a type of artificial intelligence that can create new content, such as text, images, music, or videos, based on patterns it has learned from existing data. It uses algorithms like deep learning and neural networks to generate outputs that are similar to human-created content. Examples include AI systems that can write articles, generate art, or compose music. |
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Hallucinations |
GenAI can produce outputs that are surreal, bizarre, nonsensical or unexpected. These are known as hallucinations. Hallucinations can occur in AI-generated content for various reasons, including biases in the training data, the quality of the training data, errors in the model's understanding of context, or simply the probabilistic nature of the model's generation process. Fake references could be considered a form of hallucination in the context of GenAI models. |
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Machine Learning |
A branch computer science that focuses on building systems that learn, i.e. gradually improve performance, in a supervised, semi-supervised or unsupervised way based on the data they consume [IBM]. |
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Prompt |
An input that a user feeds to a generative AI system to get a desired output. |
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Prompt engineering |
A process of creating and refining instructions used as input to a generative AI system to get high-quality outputs |
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Plagarism |
is the act of using someone else's work, ideas, or intellectual property without proper acknowledgment or permission, presenting it as one's own. This can include copying text, images, or even ideas from books, articles, websites, or other sources without citation. Plagiarism is considered unethical and is a violation of academic and professional standards |
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