AI Jargon Buster
AI news and the language around it, simplified.
What is Responsible AI?
Responsible AI is a framework for building and using technology in a way that is ethical, safe, and fair. It moves beyond just making software work well to ensuring it does not cause unintended harm. This approach requires companies to be transparent about how their tools make decisions, to check for unfair bias against specific groups of people, and to maintain clear lines of accountability. When a business adopts these principles, it creates internal rules that govern how data is handled and how automated systems interact with employees and customers. It is a commitment to prioritize human rights and social impact alongside business efficiency.
Why this matters to you
Understanding this concept helps you evaluate whether your employer is managing the risks of new technology. It ensures that there are guardrails in place to protect your professional reputation and company data. By following these standards, organizations reduce the chance of legal trouble, public backlash, or costly mistakes that occur when AI systems operate without proper oversight.
How you might hear this
The company published its responsible AI framework, which requires a human review step before any AI system can make a decision that affects an employee's career progression.
AI Jargon Buster
Search any AI term, explained in plain English.
Type a term below and search. You will be taken straight to the tool.
Related terms
See how your CV performs against the ATS algorithms that screen candidates before a human ever reads your application.
Try the CV Optimiser →How AI job displacement actually works, what it means for your career, and what to do about it. Written by someone who has been in recruitment for 25 years.
When the Ground Shifts →