An AI Code of Conduct is a set of guidelines or rules designed to ensure that artificial intelligence systems are developed and used responsibly. It covers principles like fairness, transparency, privacy, and safety to help prevent harm and misuse. Organisations use these codes to guide their teams in making ethical decisions about AI design and…
Human-in-the-loop governance refers to systems or decision-making processes where people remain actively involved, especially when technology or automation is used. It ensures that humans can oversee, review, and intervene in automated actions when needed. This approach helps maintain accountability, ethical standards, and adaptability in complex or sensitive situations.
Agent accountability mechanisms are systems and processes designed to ensure that agents, such as employees, artificial intelligence systems, or representatives, act responsibly and can be held answerable for their actions. These mechanisms help track decisions, clarify responsibilities, and provide ways to address any issues or mistakes. By putting these checks in place, organisations or individuals…
Label consistency checks are processes used to make sure that data labels are applied correctly and uniformly throughout a dataset. This is important because inconsistent labels can lead to confusion, errors, and unreliable results when analysing or training models with the data. By checking for consistency, teams can spot mistakes and correct them before the…
Ethics-focused prompt libraries are collections of prompts designed to guide artificial intelligence systems towards ethical behaviour and responsible outcomes. These libraries help ensure that AI-generated content follows moral guidelines, respects privacy, and avoids harmful or biased outputs. They are used by developers and organisations to build safer and more trustworthy AI applications.
A Model Bias Detector is a tool or system designed to find and measure unfair biases in the decisions made by machine learning models. It checks if a model treats different groups of people unfairly based on characteristics like gender, race or age. By identifying these issues, teams can work to make their models more…
A predictive hiring tool is software that uses data and algorithms to help employers identify which job candidates are most likely to succeed in a role. It analyses information from CVs, applications, assessments, and sometimes even social media to predict performance and fit. These tools aim to make hiring decisions fairer and more efficient by…
An Annotation Review Tool is a software application that helps people check and verify data annotations for accuracy and consistency. These tools are often used in projects that need labelled data, such as training machine learning models. Reviewers can use the tool to accept, reject, or correct annotations made by others, ensuring that the data…
An Ethical Usage Monitor is a tool or system designed to track, review, and ensure that technology and data are being used in ways that align with ethical guidelines and standards. It observes user actions, data processing, or system outputs to detect behaviour that could be considered harmful, unfair, or non-compliant with ethical policies. By…
A Brand Safety Checker is a tool or service that helps companies make sure their advertisements do not appear next to content that could harm their reputation. It scans websites, videos, or other digital spaces where ads might be displayed, looking for topics or language that do not fit a brand’s values. By using this…