Behaviour flags are markers or indicators used in software and systems to track or signal specific actions, choices, or patterns of behaviour. They help identify when certain events occur, such as a user clicking a button, exceeding a usage limit, or breaking a rule. These flags can then trigger automated responses or inform further actions,…
Name injection is a type of security vulnerability where an attacker manipulates input fields to inject unexpected or malicious names into a system. This can happen when software uses user-supplied data to generate or reference variables, files, or database fields without proper validation. If not handled correctly, name injection can lead to unauthorised access, data…
Human rating is the process of evaluating or scoring something using human judgement instead of automated systems. This often involves people assessing the quality, accuracy, or usefulness of content, products, or services. Human rating is valuable when tasks require understanding, context, or subjective opinions that computers may not accurately capture.
Annotator scores are numerical ratings or evaluations given by people who label or review data, such as texts, images or videos. These scores reflect the quality, relevance or accuracy of the information being labelled. Collecting annotator scores helps measure agreement between different annotators and improves the reliability of data used in research or machine learning.
Result feedback is information given to someone about the outcome of an action or task they have completed. It helps people understand how well they performed and what they might improve next time. This process is important in learning, work, and technology, as it guides future behaviour and decision-making.
Bias control refers to the methods and processes used to reduce or manage bias in data, research, or decision-making. Bias can cause unfair or inaccurate outcomes, so controlling it helps ensure results are more reliable and objective. Techniques for bias control include careful data collection, using diverse datasets, and applying statistical methods to minimise unwanted…
Action limits are specific values set during monitoring or testing processes that serve as early warning points. When these limits are reached, it signals that action should be taken to prevent potential problems or non-compliance. Action limits are usually set below regulatory or legal limits to allow time for corrective measures before an actual breach…
Persona control is the ability to guide or manage how an artificial intelligence system presents itself when interacting with users. This means setting specific characteristics, behaviours or tones for the AI, so it matches the intended audience or task. By adjusting these traits, businesses and developers can ensure the AI’s responses feel more consistent and…
Output guards are mechanisms or rules that check and control what information or data is allowed to be sent out from a system. They work by reviewing the output before it leaves, ensuring it meets certain safety, privacy, or correctness standards. These are important for preventing mistakes, leaks, or harmful content from reaching users or…
Intent resolution is the process of figuring out what a user wants to do when they give a command or make a request, especially in software and digital assistants. It takes the input, such as a spoken phrase or typed command, and matches it to a specific action or outcome. This process often involves analysing…