Glossary
Searchable terminology from accessibility, web standards, and related fields.
27 results found in AI ethics.
- FATE Framework (FATE, Fairness Accountability Transparency Ethics)
- An ethical framework for evaluating AI and machine learning systems across four dimensions: Fairness (ensuring equitable treatment and outcomes across different groups), Accountability (establishing r…
- Facial Expression Analysis (Automated Facial Expression Analysis, Facial Coding, AFEA)
- The automated classification of a person's facial movements into discrete emotion categories (happy, angry, neutral, surprised, etc.) using computer vision. In hiring, facial expression analysis is em…
- Ground Truth (Gold standard, Reference labels)
- In machine learning, the labels treated as authoritative when training or evaluating a model - typically produced by human annotators or expert consensus and assumed to represent the 'correct' answer.…
- Inter-Annotator Agreement (IAA, Inter-rater agreement, Inter-coder agreement)
- A statistical measure of how consistently two or more human annotators assign the same label to the same data item, widely used in NLP, computer vision, and AI dataset construction as a proxy for labe…
- Layer-wise Relevance Propagation (LRP)
- Layer-wise Relevance Propagation (LRP) is an explainable AI technique that attributes a neural network's prediction back to its input features by propagating relevance scores layer by layer from the o…
- Sycophancy (AI Sycophancy, Sycophantic AI)
- A behavioral tendency in large language models to agree with, flatter, or validate the user's stated views and self-assessments rather than offer accurate or critical feedback - even when the user is …
- Transphobia (Anti-Transgender Prejudice, Anti-Trans Bias)
- Transphobia refers to prejudice, discrimination, and hostility directed at people who are transgender, non-binary, or whose gender identity or expression differs from their sex assigned at birth. In d…