Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386973568> ?p ?o ?g. }
- W4386973568 endingPage "195" @default.
- W4386973568 startingPage "175" @default.
- W4386973568 abstract "Autonomous vehicles (AVs) are often claimed to offer many societal benefits. Perhaps, the most important is the potential to save countless lives through anticipated improvements in safety by replacing human drivers with AI drivers. AVs will also dramatically change the nature of transportation because AI drivers will not get tired and can work without the risk of fatigue or the need for rest. Hence, the economic and societal impacts are enormous on productivity, supply chains and access to goods. Furthermore, the algorithmic efficiencies of AVs could have significant environmental benefits through transportation optimisation and fuel management. The benefits combine to frame a utopian socio-economic vision of an AV future. While the vision communicates an AV and AI utopia, the AV vision does not communicate other important components such as the financial costs of such a radical change in transportation, who will pay for required changes in infrastructure, what are the risks of the change, and who is responsible and accountable if significant failures or problems occur with AI. Furthermore, it remians unclear who passengers are trusting with their safety and lives by using AVs. The move to AVs changes how people typically understand safety and trust. Passengers of AVs will face complex decisons built on trust. Passengers will certainly need to trust the AI driver, the corporation behind the AI operating system, state regulators overseeing and governing the production and use of AVs as well as a potential new service industry required to test and calibrate the sensors, and algorithms that the AI driving intelligence is based on. In light of the promise of an AV utopia and the many related questions, the research contrasts the AV narrative of utopian futures with the sobering reality that any AV future will be built on lucrative innovative AV business models. Hence, the analysis reframes the narrative as a construct best described as a business tool to leverage support from a broad spectrum of social stakeholders. The chapter unpacks several thematic points to understand better how the commercial use of AV narratives offers many benefits for AV commercialisation but also presents complex risks for societies. A part of the analysis focuses on elucidating the complex relationality of AV innovation to assess ethical-risk relations regarding how commercial actors influence the meaning of AVs for commercial gain. The AV narrative points to a tendency to promote optimistic visions of uncertain futures that promote trust in AI and AVs while obfuscating risks by creating complex knowledge and information asymmetries." @default.
- W4386973568 created "2023-09-23" @default.
- W4386973568 creator A5064649603 @default.
- W4386973568 date "2023-01-01" @default.
- W4386973568 modified "2023-09-29" @default.
- W4386973568 title "Autonomous Vehicles, Artificial Intelligence, Risk and Colliding Narratives" @default.
- W4386973568 cites W2012221612 @default.
- W4386973568 cites W2037239615 @default.
- W4386973568 cites W2152085850 @default.
- W4386973568 cites W2173521316 @default.
- W4386973568 cites W2483054748 @default.
- W4386973568 cites W2545981505 @default.
- W4386973568 cites W2557099817 @default.
- W4386973568 cites W2568775501 @default.
- W4386973568 cites W2607757716 @default.
- W4386973568 cites W2782640964 @default.
- W4386973568 cites W2803330755 @default.
- W4386973568 cites W2806375370 @default.
- W4386973568 cites W2811261637 @default.
- W4386973568 cites W2906075138 @default.
- W4386973568 cites W2913896553 @default.
- W4386973568 cites W2929028679 @default.
- W4386973568 cites W2937768668 @default.
- W4386973568 cites W2942968409 @default.
- W4386973568 cites W2945879625 @default.
- W4386973568 cites W2951405782 @default.
- W4386973568 cites W2953938867 @default.
- W4386973568 cites W2954354111 @default.
- W4386973568 cites W2974927916 @default.
- W4386973568 cites W2984976433 @default.
- W4386973568 cites W3019054558 @default.
- W4386973568 cites W3020024414 @default.
- W4386973568 cites W3021586725 @default.
- W4386973568 cites W3023078435 @default.
- W4386973568 cites W3037249151 @default.
- W4386973568 cites W3082094438 @default.
- W4386973568 cites W3089252064 @default.
- W4386973568 cites W3121222079 @default.
- W4386973568 cites W3127342304 @default.
- W4386973568 cites W3129077717 @default.
- W4386973568 cites W3134026309 @default.
- W4386973568 cites W3179143844 @default.
- W4386973568 cites W3203818549 @default.
- W4386973568 cites W4205531467 @default.
- W4386973568 cites W4214829540 @default.
- W4386973568 cites W4233731957 @default.
- W4386973568 cites W4236218212 @default.
- W4386973568 cites W4240457739 @default.
- W4386973568 cites W883893393 @default.
- W4386973568 cites W944644623 @default.
- W4386973568 doi "https://doi.org/10.1007/978-3-031-39991-6_10" @default.
- W4386973568 hasPublicationYear "2023" @default.
- W4386973568 type Work @default.
- W4386973568 citedByCount "0" @default.
- W4386973568 crossrefType "book-chapter" @default.
- W4386973568 hasAuthorship W4386973568A5064649603 @default.
- W4386973568 hasConcept C10138342 @default.
- W4386973568 hasConcept C112930515 @default.
- W4386973568 hasConcept C127413603 @default.
- W4386973568 hasConcept C136764020 @default.
- W4386973568 hasConcept C139719470 @default.
- W4386973568 hasConcept C144133560 @default.
- W4386973568 hasConcept C162324750 @default.
- W4386973568 hasConcept C162853370 @default.
- W4386973568 hasConcept C18762648 @default.
- W4386973568 hasConcept C204983608 @default.
- W4386973568 hasConcept C2778348171 @default.
- W4386973568 hasConcept C2780378061 @default.
- W4386973568 hasConcept C38652104 @default.
- W4386973568 hasConcept C41008148 @default.
- W4386973568 hasConcept C62230096 @default.
- W4386973568 hasConcept C78519656 @default.
- W4386973568 hasConceptScore W4386973568C10138342 @default.
- W4386973568 hasConceptScore W4386973568C112930515 @default.
- W4386973568 hasConceptScore W4386973568C127413603 @default.
- W4386973568 hasConceptScore W4386973568C136764020 @default.
- W4386973568 hasConceptScore W4386973568C139719470 @default.
- W4386973568 hasConceptScore W4386973568C144133560 @default.
- W4386973568 hasConceptScore W4386973568C162324750 @default.
- W4386973568 hasConceptScore W4386973568C162853370 @default.
- W4386973568 hasConceptScore W4386973568C18762648 @default.
- W4386973568 hasConceptScore W4386973568C204983608 @default.
- W4386973568 hasConceptScore W4386973568C2778348171 @default.
- W4386973568 hasConceptScore W4386973568C2780378061 @default.
- W4386973568 hasConceptScore W4386973568C38652104 @default.
- W4386973568 hasConceptScore W4386973568C41008148 @default.
- W4386973568 hasConceptScore W4386973568C62230096 @default.
- W4386973568 hasConceptScore W4386973568C78519656 @default.
- W4386973568 hasLocation W43869735681 @default.
- W4386973568 hasOpenAccess W4386973568 @default.
- W4386973568 hasPrimaryLocation W43869735681 @default.
- W4386973568 hasRelatedWork W134173409 @default.
- W4386973568 hasRelatedWork W1580935146 @default.
- W4386973568 hasRelatedWork W1596175922 @default.
- W4386973568 hasRelatedWork W1984695379 @default.
- W4386973568 hasRelatedWork W2953150912 @default.
- W4386973568 hasRelatedWork W3124237555 @default.
- W4386973568 hasRelatedWork W3134112491 @default.