Category: AI Governance

Data Bias Scanner

A Data Bias Scanner is a tool or software that checks datasets for patterns that might unfairly favour or disadvantage certain groups. It helps identify if data used in algorithms or decision-making contains skewed information that could lead to unfair outcomes. By spotting these biases early, organisations can adjust their data or processes to be…

Ethical AI Layer

An Ethical AI Layer is a set of rules, processes, or technologies added to artificial intelligence systems to ensure their decisions and actions align with human values and ethical standards. This layer works to prevent bias, discrimination, or harmful outcomes from AI behaviour. It can include guidelines, monitoring tools, or automated checks that guide AI…

Policy Intelligence

Policy intelligence refers to the process of gathering, analysing, and interpreting information about public policies, regulations, and political developments. It helps organisations, businesses, and governments understand how current or upcoming policies might impact their operations or goals. By using data and expert insights, policy intelligence supports better decision making and strategic planning.

Localisation Rules

Localisation rules are guidelines and instructions that help adapt content, products, or software to fit the language and cultural preferences of a specific region or country. These rules ensure that things like dates, currencies, measurements, and even colours or images are appropriate for the local audience. Following localisation rules helps avoid misunderstandings and makes the…

Human Rating

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.

Bias Control

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…