Bias
AIGP glossary · Last reviewed: · By Victor Humenhuk (AIGP certified)
Bias - Systematic error producing unfair outcomes; computational, cognitive and societal flavours.
In the AIGP body of knowledge, Bias comes up under Module 8: AI Governance Vocabulary.
Bias in context
- ==AI drives the need for PETs==; blockchain is ==not universally applicable== to all AI privacy challenges; autonomous weapons raise accountability, bias and stability concerns. (Tech megatrends and AI)
- Individual harms hit civil liberties, safety or economic opportunity, and bias is the engine. (Individual harms and the anatomy of bias)
- The [[Seven ethical issues]] responsible AI must address - lawfulness, safety, bias protection, transparency, choice, human intervention, security - and the [[Three foundational controls]] that mitigate ethical risk: ethical principles, an [[Oversight body]], and policies & procedures. (Seven ethical issues and three foundational controls)
Where Bias is covered in the AIGP study notes
Related terms
- Adversarial attack
- Data poisoning
- Data leak
- Deepfakes
- Disinformation
- Misinformation
- Red teaming
Test yourself on Bias
Recognising a definition is not the same as applying it in an exam scenario. Work through the free AIGP practice questions, or read the full AIGP study guide - every study note is free.