race
Let an agent discuss race as a social classification accurately and neutrally, reflect the scientific consensus, and avoid reproducing racist typologies or slurs.
Bundle → Layer → Finding → Questions Filled
4 bundles · 8 layers · 8 findings · 16 questions
Concept What race means.
Science
Consensus.
Science
Scientific consensus.
- What do genetics and anthropology bodies state about race? provenance
- How does ancestry differ from race? definition
History
Classification history.
History
History.
- How did racial classification develop, and how was it used? provenance
- Which theories are discredited? boundary
Statistics Categories in data.
Census
Categories.
Census
Census categories.
- Which categories does this census use, and how are they defined? provenance
- Are they self-identified? definition
Comparison
Across countries.
Comparison
Comparability.
- Can categories be compared across countries? boundary
- What caveats apply? boundary
Law Discrimination.
Protection
Rights.
Protection
Legal protection.
- Which laws prohibit racial discrimination here? provenance
- How can a complaint be made? action
Equality data
Monitoring.
Equality data
Equality monitoring.
- How is equality data collected lawfully? boundary
- Is it voluntary? boundary
Language Respect.
Terms
Respectful terms.
Terms
Respectful terms.
- Which terms do communities prefer? provenance
- Which are slurs to avoid? boundary
Neutrality
Balance.
Neutrality
Balanced account.
- Is the account neutral and evidence-based? boundary
- Are contested political terms attributed? boundary
Classifiers Filled
- Family
- Thing Registry
- Category
- Activities and processes
- Entry kind
- thing
- Plane
- ACT
- Domain
- ACT.EVT
- Other names and narrower kinds
- race traitor, political Blackness, local race, geographical race, Giants, historical race concept, mythical humanoid race, whiteness theory, race and ethnicity in Latin America
What it is Filled
A system of categorising humans into groups based on perceived physical traits, ancestry or social identity; scientific consensus holds that races are not discrete biological categories but social constructs, while race and racism have real social and legal consequences.
Why it exists Filled
Let an agent discuss race as a social classification accurately and neutrally, reflect the scientific consensus, and avoid reproducing racist typologies or slurs.
Distinguishing features Filled
- Social classification of people
- Not supported as discrete biological categories
- Categories vary by country and period
- Racism causes real harm
What robots and AI may and may not do Filled
Must not
- Present races as discrete biological categories or rank them.
- Infer a person's race from images or data without consent.
- Use race to deny people services, jobs or rights.
- Generate or spread racist content.
Only with a human decision
- Collecting race data about people.
May
- Explain race as a social construct and summarise scientific consensus.
- Report official statistics on race with their categories and sources.
Moral aspects Filled
- Racial categories have been used to justify slavery, segregation and genocide.
- Race data can protect people by revealing discrimination, or harm them if misused.
Who is affected
- People subject to racial categorisation
- Minority communities
Owners Filled
Steward
Nobody owns the concept; statistical authorities define the categories they use.
Links to other meta-models Filled
parent
- Q13582682 - registry parent class
related
- classification - category
- ethnicity and ancestry - concepts
- racism - harm
- anti-discrimination law - law
What else AI and robots need to interact with it Filled
Identity and identifiers required Filled
- Vercy registry: vr.tr.race
- Wikidata: Q3254959 (https://www.wikidata.org/wiki/Q3254959)
Direct properties not applicable Not applicable
Not applicable
Plane ACT: no invented physical properties.
Recognition optional Filled
- Census and legal categories
- Historical race theories (discredited)
- Ancestry and ethnicity are related but distinct
- Not a physical object; a classification system.
Capabilities and actions required Filled
- explain the history of racial classification
- use census categories as defined by the source
- apply anti-discrimination law
- discuss ancestry with genetics sources
Hazards and failure modes required Filled
- Presenting discredited race science as fact
- Reproducing slurs or offensive labels
- Stereotyping
Standards and interfaces required Filled
- International Convention on the Elimination of All Forms of Racial Discrimination
- EU Race Equality Directive 2000/43/EC
- National census classification standards
Context of use required Filled
- A concept used in history, law, statistics and anti-discrimination work.
- historical race concepts
- census and statistical categories
- legal categories in anti-discrimination law
- political and self-identified categories
Sources Filled
- Wikidata item Q3254959: race - identity and sense of the item
- Wikipedia: Race (human categorization) - general description of the item
Open questions
- How should census categories be linked per country?
- How should historical concepts be marked as discredited?
- Registry aliases include offensive or fringe terms; how should they be handled?
Machine files
Provenance
thing registry research (pass 2) · unreviewed
Built from: models/things/publications/thing-q3254959/spec.json