Artificial Intelligence
AI Ethics
Plain English
Doing the right thing with AI.
Definition
AI ethics involves the principles and guidelines that ensure AI glossarySystemA system is a collection of interconnected components that work together to achieve a specific function or outcome.Open glossary term are developed and used in a fair, transparent, and responsible way.
In practice
Covers areas such as glossaryBiasBias is a systematic distortion in thinking or data that affects the accuracy of research or decision-making.Open glossary term, fairness, accountability, and user impact.
In context
It gets treated as a review at the end when the decisions that matter were made at the start: what glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term was used, what the glossarySystemA system is a collection of interconnected components that work together to achieve a specific function or outcome.Open glossary term optimises for, and who was in the room.
The reality
Ethical considerations are often secondary to speed and glossaryPerformancePerformance refers to how quickly and efficiently a system responds to user actions and processes tasks.Open glossary term in real-world projects.
Compared with
AI Ethics vs Compliance
Compliance is meeting the rules that exist. Ethics is deciding what is right where rules do not yet reach. Regulation lags glossaryCapabilityCapability refers to an organisation’s ability to perform a specific function or deliver a particular outcome.Open glossary term, so compliance alone leaves most of the hard questions unanswered.
FAQ
Common questions
A few practical answers to the questions that usually come up around this term.
What is AI ethics?
It is the set of principles guiding responsible AI use.
Why is AI ethics important?
It ensures fairness, transparency, and accountability.
What issues does AI ethics address?
glossaryBiasBias is a systematic distortion in thinking or data that affects the accuracy of research or decision-making.Open glossary term, privacy, and unintended consequences.
Who is responsible for AI ethics?
glossaryDeveloperA developer builds and maintains the technical implementation of a product, writing code, integrating systems, and making a design work in practice. Much of the role is judgement about details no specification covered.Open glossary term, organisations, and regulators.
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