Glossary Terms

Bayesian Network

A probabilistic model representing variables and their conditional relationships in a directed acyclic graph. It supports reasoning under uncertainty, but its conclusions depend on the structure, evidence and assumptions used.

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Benchmarking

Comparing performance or practices against a relevant reference point. Choose comparable measures and conditions; an external benchmark helps frame questions but does not establish what your organisation should achieve.

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Best Practices

Approaches that have proved useful in a defined context. Assess their evidence and fit before adopting them, because a practice that works elsewhere may not suit your people, process or constraints.

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Bias (in ML)

A systematic tendency in data, modelling or outputs that can distort performance or produce unfair outcomes. Assess affected groups, information sources and decisions, rather than assuming overall accuracy means the system is appropriate.

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Business Ethics

Principles for judging responsible business conduct, including how decisions affect people and stakeholders. In AI adoption, consider fairness, transparency and accountability alongside efficiency and commercial value.

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Chatbot

Software that interacts with users through conversation, using rules, AI or a combination of both. Define its permitted tasks, information sources and escalation routes before using it in a business workflow.

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