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Guardrails are safety and quality controls around AI systems that restrict harmful, non-compliant, or low-quality outputs. They can include policy filters, schema validation, and response checks before results reach users.
Guardrails reduce legal, security, and brand risk when deploying AI in customer-facing or regulated environments.
A healthcare chatbot blocks medical diagnosis claims unless the response includes approved disclaimers and trusted sources.
Responsible AI
Responsible AI is an approach to developing and deploying AI systems that prioritises fairness, transparency, accountability, and societal benefit. It encompasses practices and principles designed to minimise harm and ensure AI serves people equitably.
AI Safety
AI safety is a research field focused on ensuring that AI systems behave as intended and do not cause unintended harm. It encompasses technical challenges like robustness and reliability, as well as broader concerns about long-term risks from increasingly capable systems.
Alignment
Alignment refers to the challenge of ensuring that an AI system's goals and behaviours match human values and intentions. A misaligned system might technically achieve its objective while producing harmful or undesirable side effects.
Our programme follows a structured Level 4 curriculum with project-based learning, practical workflows, and guided implementation across business and career use cases. Funded route available for UK citizens and ILR holders.