Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis
Veljko Dubljevi\'c (1), George F. List (1), Jovan Milojevich (2),, Nirav Ajmeri (3), William Bauer (1), Munindar P. Singh (1), Eleni Bardaka, (1), Thomas Birkland (1), Charles Edwards (4), Roger Mayer (1), Ioan Muntean, (5), Thomas Powers (6), Hesham Rakha (7), Vance Ricks (8)

TL;DR
This paper applies Multi-Criteria Decision Analysis to develop a formal assessment tool for evaluating social and ethical issues in autonomous vehicle systems, aiming to promote responsible AI integration.
Contribution
It introduces a novel Multi-Attribute Impact Assessment framework using MCDA for analyzing ethical and social concerns in autonomous vehicles.
Findings
Developed a formal MAIA questionnaire for ethical assessment.
Applied MCDA to evaluate social impacts of autonomous vehicles.
Facilitated responsible AI deployment through structured analysis.
Abstract
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…
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