Finding differences in perspectives between designers and engineers to develop trustworthy AI for autonomous cars

TL;DR

This paper explores the differing perspectives of designers and engineers on trustworthy AI for autonomous cars, emphasizing transparency, reliability, and safety, and offers strategies to align these views for ethical AI development.

Contribution

It identifies key perspective differences and proposes practical strategies to bridge gaps, advancing trustworthy AI development for autonomous vehicles.

Findings

Key factors causing perspective differences identified

Strategies proposed to align designer and engineer views

Focus on transparency, reliability, and safety as pillars of trustworthy AI

Abstract

In the context of designing and implementing ethical Artificial Intelligence (AI), varying perspectives exist regarding developing trustworthy AI for autonomous cars. This study sheds light on the differences in perspectives and provides recommendations to minimize such divergences. By exploring the diverse viewpoints, we identify key factors contributing to the differences and propose strategies to bridge the gaps. This study goes beyond the trolley problem to visualize the complex challenges of trustworthy and ethical AI. Three pillars of trustworthy AI have been defined: transparency, reliability, and safety. This research contributes to the field of trustworthy AI for autonomous cars, providing practical recommendations to enhance the development of AI systems that prioritize both technological advancement and ethical principles.