Category: Artificial Intelligence

AI Monitoring Framework

Post author By EfficiencyAI
Post date 2 June 2025
Categories In AI Governance, Artificial Intelligence, MLOps & Deployment

An AI monitoring framework is a set of tools, processes, and guidelines designed to track and assess the behaviour and performance of artificial intelligence systems. It helps organisations ensure their AI models work as intended, remain accurate over time, and comply with relevant standards or laws. These frameworks often include automated alerts, regular reporting, and…

Model Robustness Testing

Post author By EfficiencyAI
Post date 2 June 2025
Categories In Artificial Intelligence, Model Training & Tuning, Responsible AI

Model robustness testing is the process of checking how well a machine learning model performs when faced with unexpected, noisy, or challenging data. The goal is to see if the model can still make accurate predictions even when the input data is slightly changed or contains errors. This helps ensure that the model works reliably…

Adversarial Defense Strategy

Post author By EfficiencyAI
Post date 2 June 2025
Categories In Anti Attack, Artificial Intelligence, Cybersecurity

An adversarial defence strategy is a set of methods used to protect machine learning models from attacks that try to trick them with misleading or purposely altered data. These attacks, known as adversarial attacks, can cause models to make incorrect decisions, which can be risky in important applications like security or healthcare. The goal of…

AI Security Strategy

Post author By EfficiencyAI
Post date 2 June 2025
Categories In AI Governance, Artificial Intelligence, Cybersecurity

AI security strategy refers to the planning and measures taken to protect artificial intelligence systems from threats, misuse, or failures. This includes identifying risks, setting up safeguards, and monitoring AI behaviour to ensure it operates safely and as intended. A good AI security strategy helps organisations prevent data breaches, unauthorised use, and potential harm caused…

AI Audit Framework

Post author By EfficiencyAI
Post date 2 June 2025
Categories In AI Governance, Artificial Intelligence, Responsible AI

An AI Audit Framework is a set of guidelines and processes used to review and assess artificial intelligence systems. It helps organisations check if their AI tools are working as intended, are fair, and follow relevant rules or ethics. By using this framework, companies can spot problems or risks in AI systems before they cause…

AI Compliance Strategy

Post author By EfficiencyAI
Post date 2 June 2025
Categories In AI Governance, Artificial Intelligence, Responsible AI

An AI compliance strategy is a plan that helps organisations ensure their use of artificial intelligence follows laws, regulations, and ethical guidelines. It involves understanding what rules apply to their AI systems and putting processes in place to meet those requirements. This can include data protection, transparency, fairness, and regular monitoring to reduce risks and…

AI Risk Management

Post author By EfficiencyAI
Post date 2 June 2025
Categories In AI Governance, Artificial Intelligence, Responsible AI

AI risk management is the process of identifying, assessing, and addressing potential problems that could arise when using artificial intelligence systems. It helps ensure that AI technologies are safe, fair, reliable, and do not cause unintended harm. This involves setting rules, monitoring systems, and making adjustments to reduce risks and improve outcomes.

AI Accountability Framework

Post author By EfficiencyAI
Post date 2 June 2025
Categories In AI Governance, Artificial Intelligence, Responsible AI

An AI Accountability Framework is a set of guidelines, processes and tools designed to ensure that artificial intelligence systems are developed and used responsibly. It helps organisations track who is responsible for decisions made by AI, and makes sure that these systems are fair, transparent and safe. By following such a framework, companies and governments…

AI Transparency

Post author By EfficiencyAI
Post date 2 June 2025
Categories In Artificial Intelligence, Explainability & Interpretability, Responsible AI

AI transparency means making it clear how artificial intelligence systems make decisions and what data they use. This helps people understand and trust how these systems work. Transparency can include sharing information about the algorithms, training data, and the reasons behind specific decisions.

Explainable AI Strategy

Post author By EfficiencyAI
Post date 2 June 2025
Categories In Artificial Intelligence, Explainability & Interpretability, Technology Strategy

An Explainable AI Strategy is a plan or approach for making artificial intelligence systems clear and understandable to people. It focuses on ensuring that how AI makes decisions can be explained in terms that humans can grasp. This helps users trust AI systems and allows organisations to meet legal or ethical requirements for transparency.