A bias detection framework is a set of tools, methods, and processes designed to identify and measure biases in data, algorithms, or decision-making systems. Its goal is to help ensure that automated systems treat all individuals or groups fairly and do not inadvertently disadvantage anyone. These frameworks often include both quantitative checks, such as statistical…
Category: Responsible AI
Responsible AI Governance
Responsible AI governance is the set of rules, processes, and oversight that organisations use to ensure artificial intelligence systems are developed and used safely, ethically, and legally. It covers everything from setting clear policies and assigning responsibilities to monitoring AI performance and handling risks. The goal is to make sure AI benefits people without causing…
AI Ethics Framework
An AI Ethics Framework is a set of guidelines and principles designed to help people create and use artificial intelligence responsibly. It covers important topics such as fairness, transparency, privacy, and accountability to ensure that AI systems do not cause harm. Organisations use these frameworks to guide decisions about how AI is built and applied,…
Model Interpretability Framework
A Model Interpretability Framework is a set of tools and methods that help people understand how machine learning models make decisions. It provides ways to explain which features or data points most affect the model’s predictions, making complex models easier to understand. This helps users build trust in the model, check for errors, and ensure…
Model Governance Framework
A Model Governance Framework is a set of processes and guidelines for managing the development, deployment, and ongoing monitoring of machine learning or statistical models. It helps organisations ensure their models are accurate, reliable, and used responsibly. This framework typically covers areas such as model design, validation, documentation, approval, and regular review.
Risk Assessment Framework
A Risk Assessment Framework is a structured approach used to identify, analyse, and manage risks within an organisation or a project. It provides a set of processes and guidelines for evaluating potential threats and vulnerabilities, estimating their impact, and deciding how to address them. This framework helps organisations make informed decisions to minimise negative outcomes…
Diversity Analytics
Diversity analytics refers to the use of data and analysis to measure and understand the range of differences within a group, such as a workplace or community. This includes tracking metrics related to gender, ethnicity, age, disability, and other characteristics. The goal is to provide clear insights that help organisations create fairer and more inclusive…
Compliance Dashboarding
Compliance dashboarding is the process of using visual tools and software dashboards to monitor and report on an organisation’s adherence to legal, regulatory, or internal compliance standards. These dashboards display real-time data and key metrics, making it easier for teams to track compliance status and identify potential issues quickly. By centralising compliance information, organisations can…
Co-Creation with End Users
Co-creation with end users means involving the people who will actually use a product or service in its design and development. This approach helps ensure that the final result closely matches their needs and preferences. By collaborating directly with end users, organisations can gather valuable feedback, test ideas early, and make better decisions throughout the…
Process Pilot Governance
Process Pilot Governance is a way of overseeing and managing trial versions of new processes within an organisation. It involves setting rules, monitoring progress, and ensuring that these pilot processes are tested safely before wider adoption. This governance helps identify risks, gather feedback, and make informed decisions about whether to continue, change, or stop the…