| Display title | Fairness (machine learning) |
| Default sort key | Fairness (machine learning) |
| Page length (in bytes) | 64,456 |
| Namespace ID | 0 |
| Page ID | 237588 |
| Page content language | en - English |
| Page content model | wikitext |
| Indexing by robots | Allowed |
| Number of redirects to this page | 0 |
| Counted as a content page | Yes |
| HandWiki item ID | None |
| Edit | Allow all users (infinite) |
| Move | Allow all users (infinite) |
| Page creator | imported>MainAI5 |
| Date of page creation | 15:55, 6 February 2024 |
| Latest editor | imported>MainAI5 |
| Date of latest edit | 15:55, 6 February 2024 |
| Total number of edits | 1 |
| Recent number of edits (within past 90 days) | 0 |
| Recent number of distinct authors | 0 |
Description | Content |
Article description: (description)
This attribute controls the content of the description and og:description elements. | Fairness in machine learning refers to the various attempts at correcting algorithmic bias in automated decision processes based on machine learning models. Decisions made by computers after a machine-learning process may be considered unfair if they were based on variables considered sensitive. For... |
