AI fairness is part of the world of artificial intelligence, digital society and digital transformation. This term describes the goal of ensuring that decisions and results made by artificial intelligence (AI) are fair and not biased.
When companies use artificial intelligence, for example for application processes or automatic product recommendations in online shops, the algorithms used should treat all people equally. AI fairness ensures that the AI does not disadvantage or favour any groups - for example on the basis of gender, age or origin.
An illustrative example: Imagine an AI checks applications for a job. If it is programmed in such a way that it mainly selects men, even though women are just as qualified, there is a problem with fairness. AI fairness here means designing the algorithms in such a way that all applicants are considered objectively.
AI fairness is important to build trust in technology and ensure that no one is discriminated against by digital tools. Companies benefit from this by becoming more diverse and fairer. If you want to use AI responsibly, you should always keep AI fairness in mind.
Deutsch 
English (UK)