• Facets (new session)
• Description
• Metadata
• Settings
  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpdbprdf-labelfacetshttp://dbpedia.org/resource/inference/rules/dbpedia#http://dbpedia.org/resource/inference/rules/opencyc#http://dbpedia.org/resource/inference/rules/umbel#http://dbpedia.org/resource/inference/rules/yago#http://dbpedia.org/schema/property_rules#http://www.ontologyportal.org/inference/rules/SUMO#http://www.ontologyportal.org/inference/rules/WordNet#http://www.w3.org/2002/07/owl#ldpoplwebskos-transurn:det:rdf:labelvirtrdf-labelvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: Cardboard Crash     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : owl:Thing, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)

Cardboard Crash is a 2015 National Film Board of Canada (NFB) mobile app and virtual reality work developed by Vincent McCurley, exploring the ethical issues of autonomous cars. Produced for the NFB in Vancouver by Loc Dao, Cardboard Crash explores the ethical consequences of self-driving car algorithms and how should they be chosen. It presents users in a scenario where they are driving with a child in the vehicle and a road incident presents them with three alternative actions: veering left and colliding with a family, driving into a truck, or turning right, off a cliff. The accident-in-progress is slowed down to bullet time, as users are forced to make the choices a computer might have to make, with no ideal solution.