Adversarial machine learning is a field focused on understanding and mitigating the vulnerabilities of AI models to deceptive inputs designed to cause...
AI bias refers to systematic and unfair outcomes generated by AI systems due to flawed data, algorithms, or implementation.
AI Fairness is the practice of ensuring that AI systems make unbiased and equitable decisions, avoiding discrimination against any group or individual...
AI Governance is the framework of policies, processes, and guidelines designed to ensure the responsible, ethical, and business-aligned use of AI syst...
AI Optimisation is the process of refining AI models and algorithms to maximise performance, accuracy, and efficiency.
AI Personalisation uses machine learning to analyse user data and create tailored experiences, content, and recommendations.
AI-powered surveillance uses artificial intelligence to analyse security camera footage in real-time, identifying objects, recognising faces, and dete...
An algorithm is a step-by-step set of instructions that a computer follows to solve a problem or complete a task, forming the basis of all computer pr...