Virtue Ethics For Ethically Tunable Robotic Assistants
- URL: http://arxiv.org/abs/2407.16361v1
- Date: Tue, 23 Jul 2024 10:11:18 GMT
- Title: Virtue Ethics For Ethically Tunable Robotic Assistants
- Authors: Rajitha Ramanayake, Vivek Nallur,
- Abstract summary: This paper introduces a virtue ethics inspired computational method that enables character-based tuning of robots.
We show how tuning can be used to change the behaviour of a robot that interacts with an elderly resident in an ambient-assisted environment.
- Score: 0.4185457873680242
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The common consensus is that robots designed to work alongside or serve humans must adhere to the ethical standards of their operational environment. To achieve this, several methods based on established ethical theories have been suggested. Nonetheless, numerous empirical studies show that the ethical requirements of the real world are very diverse and can change rapidly from region to region. This eliminates the idea of a universal robot that can fit into any ethical context. However, creating customised robots for each deployment, using existing techniques is challenging. This paper presents a way to overcome this challenge by introducing a virtue ethics inspired computational method that enables character-based tuning of robots to accommodate the specific ethical needs of an environment. Using a simulated elder-care environment, we illustrate how tuning can be used to change the behaviour of a robot that interacts with an elderly resident in an ambient-assisted environment. Further, we assess the robot's responses by consulting ethicists to identify potential shortcomings.
Related papers
- Exploring the ethical sensitivity of Ph.D. students in robotics [0.0]
The concept of ethical sensitivity has been widely studied in healthcare, business, and other domains.
It appears to have received little to no attention within the robotics community, even though choices in the design and deployment of robots are likely to have profound ethical impacts on society.
We conducted a qualitative exploration of the ethical sensitivity of a sample of Ph.D. students in robotics using case vignettes that exemplified ethical tensions in disaster robotics.
arXiv Detail & Related papers (2024-05-05T11:11:51Z) - HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation [50.616995671367704]
We present a high-dimensional, simulated robot learning benchmark, HumanoidBench, featuring a humanoid robot equipped with dexterous hands.
Our findings reveal that state-of-the-art reinforcement learning algorithms struggle with most tasks, whereas a hierarchical learning approach achieves superior performance when supported by robust low-level policies.
arXiv Detail & Related papers (2024-03-15T17:45:44Z) - Aligning Robot and Human Representations [50.070982136315784]
We argue that current representation learning approaches in robotics should be studied from the perspective of how well they accomplish the objective of representation alignment.
We mathematically define the problem, identify its key desiderata, and situate current methods within this formalism.
arXiv Detail & Related papers (2023-02-03T18:59:55Z) - Diversity-aware social robots meet people: beyond context-aware embodied
AI [0.0]
The article introduces the concept of "diversity-aware" robotics and discusses the need to develop computational models to embed robots with diversity-awareness.
The article discusses possible technical solutions based on Ontologies and Bayesian Networks, starting from previous experience with culturally competent robots.
arXiv Detail & Related papers (2022-07-12T08:06:25Z) - Understanding a Robot's Guiding Ethical Principles via Automatically
Generated Explanations [4.393037165265444]
We build upon an existing ethical framework to allow users to make suggestions about plans and receive automatically generated contrastive explanations.
Results of a user study indicate that the generated explanations help humans to understand the ethical principles that underlie a robot's plan.
arXiv Detail & Related papers (2022-06-20T22:55:00Z) - The Road to a Successful HRI: AI, Trust and ethicS-TRAITS [64.77385130665128]
The aim of this workshop is to foster the exchange of insights on past and ongoing research towards effective and long-lasting collaborations between humans and robots.
We particularly focus on AI techniques required to implement autonomous and proactive interactions.
arXiv Detail & Related papers (2022-06-07T11:12:45Z) - Metaethical Perspectives on 'Benchmarking' AI Ethics [81.65697003067841]
Benchmarks are seen as the cornerstone for measuring technical progress in Artificial Intelligence (AI) research.
An increasingly prominent research area in AI is ethics, which currently has no set of benchmarks nor commonly accepted way for measuring the 'ethicality' of an AI system.
We argue that it makes more sense to talk about 'values' rather than 'ethics' when considering the possible actions of present and future AI systems.
arXiv Detail & Related papers (2022-04-11T14:36:39Z) - REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy
Transfer [57.045140028275036]
We consider the problem of transferring a policy across two different robots with significantly different parameters such as kinematics and morphology.
Existing approaches that train a new policy by matching the action or state transition distribution, including imitation learning methods, fail due to optimal action and/or state distribution being mismatched in different robots.
We propose a novel method named $REvolveR$ of using continuous evolutionary models for robotic policy transfer implemented in a physics simulator.
arXiv Detail & Related papers (2022-02-10T18:50:25Z) - Future Intelligent Autonomous Robots, Ethical by Design. Learning from
Autonomous Cars Ethics [19.911701966878947]
The field of ethics of intelligent autonomous robotic cars is a good example of research with actionable practical value.
It could be used as a starting platform for the approaches to the development of intelligent autonomous robots.
Drawing from our work on ethics of autonomous intelligent robocars, and the existing literature on ethics of robotics, our contribution consists of a set of values and ethical principles.
arXiv Detail & Related papers (2021-07-16T21:10:04Z) - The Short Anthropological Guide to the Study of Ethical AI [91.3755431537592]
Short guide serves as both an introduction to AI ethics and social science and anthropological perspectives on the development of AI.
Aims to provide those unfamiliar with the field with an insight into the societal impact of AI systems and how, in turn, these systems can lead us to rethink how our world operates.
arXiv Detail & Related papers (2020-10-07T12:25:03Z) - Designing Environments Conducive to Interpretable Robot Behavior [35.95540723324049]
We investigate the opportunities and limitations of environment design as a tool to promote a type of interpretable behavior.
We formulate a novel environment design framework that considers design over multiple tasks and over a time horizon.
arXiv Detail & Related papers (2020-07-02T00:50:10Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.