Category: Responsible AI

AI-Powered Feedback Loops

AI-powered feedback loops are systems where artificial intelligence collects data from its actions, analyses the results, and uses this information to improve its future decisions. These loops help AI systems learn from their successes and mistakes, becoming more accurate or efficient over time. The process is ongoing, allowing the AI to adapt to changes and…

Digital Accessibility Checks

Digital accessibility checks are processes used to ensure websites, apps and digital content can be used by people with disabilities. These checks help identify issues that might prevent users from accessing information or completing tasks online. They often involve automated tools, manual reviews and testing with assistive technologies to make sure digital services are usable…

AI-Powered Policy Audits

AI-powered policy audits use artificial intelligence to automatically review and evaluate company policies, procedures, or regulations. AI can scan through large amounts of documents, spot inconsistencies, and flag areas that might not meet compliance standards. This helps organisations identify gaps or risks faster and more accurately than manual checks.

AI-Powered Milestone Alerts

AI-powered milestone alerts are automated notifications generated by artificial intelligence to inform users when important goals or stages have been reached in a process or project. These alerts use data analysis to monitor progress and predict when milestones are likely to occur. By doing so, they help teams stay informed, make timely decisions, and avoid…

Intelligent Escalation Rules

Intelligent escalation rules are automated systems that decide when and how to pass an unresolved issue to someone with more expertise or authority. These rules use information such as urgency, customer history, or problem complexity to make smarter decisions about who should handle the next step. This helps ensure that problems are addressed quickly and…

Sustainable Computing

Sustainable computing means designing, using, and disposing of computers and related technology in ways that reduce negative impacts on the environment. This includes saving energy, using fewer resources, recycling electronic waste, and choosing materials that are less harmful. The goal is to make technology helpful for society without causing long-term harm to the planet.

Augmented Cognition

Augmented cognition is a field that focuses on using technology to help people think, learn, and make decisions more effectively. It combines human abilities with computer systems to process information, recognise patterns, and solve problems faster and more accurately. This often involves wearable devices, sensors, or software that monitor a user’s mental workload and provide…

AI for Circular Economy

AI for Circular Economy refers to the use of artificial intelligence technologies to help reduce waste, reuse materials, and keep products and resources in use for as long as possible. AI can analyse data, predict when products will need maintenance, and optimise recycling or remanufacturing processes. By making supply chains and resource management smarter, AI…

AI for Carbon Capture

AI for carbon capture involves using artificial intelligence to improve how we detect, monitor, and remove carbon dioxide from the air. By analysing data from sensors and equipment, AI can help make carbon capture systems more efficient and cost-effective. This technology also helps predict the best times and places to capture carbon, making the process…