Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis

Autor: William A. Bauer, Nirav Ajmeri, M. Shoaib Samandar, Thomas M. Powers, Eleni Bardaka, Jovan Milojevich, Thomas A. Birkland, Charles H. W. Edwards, Veljko Dubljević, Ioan Muntean, Roger C. Mayer, Hesham A. Rakha, Vance A. Ricks, Munindar P. Singh, George F. List
Rok vydání: 2021
Předmět:
FOS: Computer and information sciences
Decision Analysis
Sociotechnical system
Economics
Social Sciences
Transportation
Social Policy
Autonomous Vehicles
Automation
Computer Science - Computers and Society
Sociology
Surveys and Questionnaires
Technology Regulations
Economic impact analysis
media_common
Social policy
Multidisciplinary
Accidents
Traffic
Multiple-criteria decision analysis
Risk analysis (engineering)
Social Systems
Engineering and Technology
Medicine
Management Engineering
Research Article
Employment
Computer and Information Sciences
Automobile Driving
Science Policy
Computer Science - Artificial Intelligence
Status quo
Science
media_common.quotation_subject
Jobs
Research and Analysis Methods
Morals
Decision Support Techniques
Artificial Intelligence
Computers and Society (cs.CY)
Humans
Models
Statistical
Ownership
Economic Analysis
Harm
Artificial Intelligence (cs.AI)
Attitude
Economic Impact Analysis
Software deployment
Labor Economics
Business
Decision analysis
Zdroj: PLoS ONE, Vol 16, Iss 8, p e0256224 (2021)
PLoS ONE
DOI: 10.48550/arxiv.2102.02928
Popis: The expansion of artificial intelligence (AI) and autonomous systems has shown the potential to generate enormous social good while also raising serious ethical and safety concerns. AI technology is increasingly adopted in transportation. A survey of various in-vehicle technologies found that approximately 64% of the respondents used a smartphone application to assist with their travel. The top-used applications were navigation and real-time traffic information systems. Among those who used smartphones during their commutes, the top-used applications were navigation and entertainment. There is a pressing need to address relevant social concerns to allow for the development of systems of intelligent agents that are informed and cognizant of ethical standards. Doing so will facilitate the responsible integration of these systems in society. To this end, we have applied Multi-Criteria Decision Analysis (MCDA) to develop a formal Multi-Attribute Impact Assessment (MAIA) questionnaire for examining the social and ethical issues associated with the uptake of AI. We have focused on the domain of autonomous vehicles (AVs) because of their imminent expansion. However, AVs could serve as a stand-in for any domain where intelligent, autonomous agents interact with humans, either on an individual level (e.g., pedestrians, passengers) or a societal level.
Databáze: OpenAIRE
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