Ethics Dilemmas and Autonomous Vehicles: Ethics Preference Modeling and Implementation of Personal Ethics Setting for Autonomous Vehicles in Dilemmas

Wang, Yutian; Hu, Xuepeng; Yang, Lizhong; Huang, Zhi Feng

doi:10.1109/mits.2022.3197689

Cited by 8 publications

(6 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The research generally agrees on the fact that applying ethical norms is crucial for trust formation in autonomous systems (Kwan et al, 2021b;Wang et al, 2022;Gerdes, 2020). In human society, ethical diversity is observed, which necessitates the possibility to adjust the moral setting of a system according to one's individual preferences within a personal ethical framework.…”

Section: Ethical Aspectssupporting

confidence: 54%

“…However, a personal ethical framework with no regulation is insufficient as it would lead to numerous ethical dilemmas. A preferred ethical model should therefore reflect public rational ethical inclinations while at the same time provide users with limited freedom to adjust the particular ethical setting according to their personal preferences (Wang et al, 2022). The contribution to the discussion regarding the form and way of the implementation of specific ethical principles in autonomous systems is out of the scope of this paper, though.…”

Section: Ethical Aspectsmentioning

confidence: 99%

See 1 more Smart Citation

Rethinking Certification for Higher Trust and Ethical Safeguarding of Autonomous Systems

Kušniráková

Bühnová

2023

Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering

View full text Add to dashboard Cite

With the increasing complexity of software permeating critical domains such as autonomous driving, new challenges are emerging in the ways the engineering of these systems needs to be rethought. Autonomous driving is expected to continue gradually overtaking all critical driving functions, which is adding to the complexity of the certification of autonomous driving systems. As a response, certification authorities have already started introducing strategies for the certification of autonomous vehicles and their software. But even with these new approaches, the certification procedures are not fully catching up with the dynamism and unpredictability of future autonomous systems, and thus may not necessarily guarantee compliance with all requirements imposed on these systems. In this paper, we identified a number of issues with the proposed certification strategies, which may impact the systems substantially. For instance, we emphasize the lack of adequate reflection on software changes occurring in constantly changing systems, or low support for systems' cooperation needed for the management of coordinated moves. Other shortcomings concern the narrow focus of the awarded certification by neglecting aspects such as the ethical behaviour of autonomous software systems. The contribution of this paper is threefold. First, we discuss the motivation for the need to modify the current certification processes for autonomous driving systems. Second, we analyze current international standards used in the certification processes towards requirements derived from the requirements laid on dynamic software ecosystems and autonomous systems themselves. Third, we outline a concept for incorporating the missing parts into the certification procedure.1 Anti-lock Braking System; a safety system used on land vehicles activated in case of a skid in order to allow the driver to maintain more control over the vehicle.

show abstract

Section: Ethical Aspectssupporting

confidence: 54%

Section: Ethical Aspectsmentioning

confidence: 99%

Rethinking Certification for Higher Trust and Ethical Safeguarding of Autonomous Systems

Kušniráková

Bühnová

2023

Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering

View full text Add to dashboard Cite

show abstract

“…Research widely acknowledges the significance of applying ethical norms for establishing trust in autonomous systems [25,35,16]. Given the ethical diversity observed in human society, it is crucial to allow for the adjustment of a system's moral settings to align with individual preferences within a personal ethical framework.…”

Section: Ethical Aspectsmentioning

confidence: 99%

“…However, an unregulated personal ethical framework would lead to numerous ethical dilemmas. Therefore, a preferred ethical model should reflect widely accepted rational ethical inclinations while providing users with limited freedom to customize the ethical settings according to their personal preferences [35].…”

Section: Ethical Aspectsmentioning

confidence: 99%

Interoperability-oriented Quality Assessment for Czech Open Data

Kušniráková¹,

Ge²,

Walletzký³

et al. 2022

Proceedings of the 11th International Conference on Data Science, Technology and Applications

View full text Add to dashboard Cite

With the rapid increase of published open datasets, it is crucial to support the open data progress in smart cities while considering the open data quality. In the Czech Republic, and its National Open Data Catalogue (NODC), the open datasets are usually evaluated based on their metadata only, while leaving the content and the adherence to the recommended data structure to the sole responsibility of the data providers. The interoperability of open datasets remains unknown. This paper therefore aims to propose a novel content-aware quality evaluation framework that assesses the quality of open datasets based on five data quality dimensions. With the proposed framework, we provide a fundamental view on the interoperability-oriented data quality of Czech open datasets, which are published in NODC. Our evaluations find that domain-specific open data quality assessments are able to detect data quality issues beyond traditional heuristics used for determiningCzech open data quality, increase their interoperability, and thus increase their potential to bring value for the society. The findings of this research are beneficial not only for the case of the Czech Republic, but also can be applied in other countries that intend to enhance their open data quality evaluation processes.

show abstract

“…We proposed a risk-cost function for trajectory planning that takes into account minimising overall risk, worst-case prioritisation, and equal treatment of people. Wang et al [11] addressed the issue of moral disagreement by proposing an analytical IFS (avoidance tendency) ethical model that described the relationship between respondents' ethical intentions and sensitivities, implemented Personal Ethical Setting (PES) with a group model, and performed path planning experiments based on PES. Maximilian Geisslinger et al [12] proposed an ethical trajectory planning algorithmic framework aiming at fair distribution of risk among road users by combining five basic principles: minimising overall risk, worst-case scenario prioritisation, equal treatment of people, responsibility, and maximum acceptable risk.…”

Section: Introductionmentioning

confidence: 99%

Research on Autonomous Vehicle Obstacle Avoidance Path Planning with Consideration of Social Ethics

Wang,

Jing,

Zhong

et al. 2024

Sustainability

View full text Add to dashboard Cite

Self-driving car research can effectively reduce the occurrence of traffic accidents, but when encountering sudden people or obstacles cutting into the lane, how to reduce the damage hazard to traffic participants and make ethical decisions is the key point that the development of self-driving technology must break through. When faced with sudden traffic participants, self-driving vehicles need to make ethical decisions between ramming into the traffic participants or other obstacles. Therefore, in this paper, we propose a model decision planning method based on multi-objective evaluation function path evaluation of local path planning. This method addresses the ethical model disagreement problem of self-driving vehicles encountering traffic participants and other obstacles. The aim is to ensure the safety of the lives of the traffic participants and achieve the vehicle’s reasonable ethical decision planning. Firstly, when anticipating traffic participants and other obstacles, the vehicle’s planning intention decisions are obtained through fuzzy algorithms. Different sets of curves for various positions are generated based on dynamic programming algorithms. These curves are then fitted using B-spline curves, incorporating obstacle collision costs, and classifying obstacles into different types with varying cost weights. Secondly, factors such as path length and average path curvature are considered for path total cost calculations. Finally, a local path that avoids traffic participants is obtained. This path is then tracked using a pure pursuit algorithm. The proposed algorithm’s effectiveness is verified through simulation experiments and comparative analyses conducted on the MATLAB platform. In conclusion, this research promotes a safer and more sustainable transport system in line with the principles of sustainable development by addressing the challenges associated with safety and ethical decision making in self-driving cars.

show abstract

Ethics Dilemmas and Autonomous Vehicles: Ethics Preference Modeling and Implementation of Personal Ethics Setting for Autonomous Vehicles in Dilemmas

Cited by 8 publications

References 25 publications

Rethinking Certification for Higher Trust and Ethical Safeguarding of Autonomous Systems

Rethinking Certification for Higher Trust and Ethical Safeguarding of Autonomous Systems

Interoperability-oriented Quality Assessment for Czech Open Data

Research on Autonomous Vehicle Obstacle Avoidance Path Planning with Consideration of Social Ethics

Contact Info

Product

Resources

About