1,720,970 research outputs found
Towards humanized ethical intelligent agents: The role of reflection and introspection
No full textMethods for implementing Automated Reasoning in a fashion that is at least reminiscent of human cognition and behavior must refer (also) to Intelligent Agents. In fact, agent-based systems nowadays implement many important autonomous applications in critical contexts. Sometimes, life and welfare of living beings may depend upon these applications. In order to interact in a proper way with human beings and human environments, agents operating in critical contexts should be to some extent 'humanized': i.e., they should do what is expected of them, but perhaps more importantly they should not behave in improper/unethical ways. Ensuring ethical reliability can also help to improve the 'relationship' between humans and robots: in fact, despite the promise of immensely improving the quality of life, humans take an ambivalent stance in regard to autonomous systems, because we fear that autonomous systems may abuse of their power to take decisions not aligned with human values. To this aim, we propose techniques for introspective self-monitoring and checking
Reflection and introspection for humanized intelligent agents
Full text linkAutomated Reasoning, Machine Ethics, Self-CheckingMethods for implementing Automated Reasoning in a fashion that is at least reminiscent of human cognition and behavior must refer (also) to Intelligent Agents. In fact they implement many important autonomous applications upon which, nowadays, the life and welfare of living beings may depend. In such contexts, 'humanized' agents should do what is expected of them, but perhaps more importantly they should not behave in improper/unethical ways given the present context. We propose techniques for introspective self-monitoring and checking
Towards an ILP Application in Machine Ethics
No full textMachine Ethics is a newly emerging interdisciplinary field which is concerned with adding an ethical dimension to Artificial Intelligent (AI) agents. In this paper we address the problem of representing and acquiring rules of codes of ethics in the online customer service domain. The proposed solution approach relies on the non-monotonic features of Answer Set Programming (ASP) and applies ILP. The approach is illustrated by means of examples taken from the preliminary tests conducted with a couple of state-of-the-art ILP algorithms for learning ASP rules
Learning answer set programming rules for ethical machines
Full text linkCodes of ethics are abstract rules. These rules are often quite difficult to apply. Abstract principles such as these contain open textured terms that cover a wide range of specific situations. These codes are subject to interpretations and might have different meanings in different contexts. There is an implementation problem from the computational point of view with most of these codes, they lack clear procedures for implementation. In this work we present a new approach based on Answer Set Programming and Inductive logic Programming for monitoring the employees behavior w.r.t. ethical violations of their company’s codes of ethics. After briefly reviewing the domain, we introduce our proposed approach, followed by a discussion, then we conclude highlighting possible future directions and potential developments
An approach towards ethical chatbots in customer service
No full textChatbot is an artificial intelligent software which can simulate a conversation with a user in natural language via auditory or textual methods. Businesses are rapidly moving towards the need for chatbots. However chatbots raise many ethical concerns. To ensure that they behave ethically, their behavior should be guided by the codes of ethics and conduct of their company
Towards Ethical Risk Assessment of Symbiotic AI Systems with Fuzzy Rules
No full textArtificial Intelligence (AI) based systems are expanding rapidly in all domains of life. They are entering our everyday life and performing tasks on our behalf. AI-based systems such as personal healthcare assistants are increasingly engaging in close symbiotic relationships with humans. Symbiotic AI (SAI) promises improved outcomes in various domains such as healthcare, education, and business. However, as the degree of symbiosis increases, so does the ethical risk. To ensure that these systems behave ethically and do not cause harm of any kind (physical, mental, violation of privacy, etc.), we need to find ways to assess the ethical risk (risk of causing harm), then choose the right action to mitigate that risk. In this work, we propose an approach based on fuzzy logic for ethical risk assessment (ERA) of SAI systems. The approach is illustrated by means of a case study taken from the healthcare domain
Care Robots Learning Rules of Ethical Behavior Under the Supervision of an Ethical Teacher
Full text linkCare robots are viewed as promising technological development that has the potential to mitigate the increasing imbalance between the number of older adults needing care and a decreasing number of caregivers. However, there are growing concerns about the ethical behavior of these robots. In this work, we show how care robots can learn logical ethical rules of behavior from experience under the supervision of human teacher
Ethical Monitoring and Evaluation of Dialogues with a MAS
Full text linkChatbots are tools aimed at simplifying the interaction between humans and computers, typically used in dialogue systems for various practical purposes. These systems should be built on ethical foundations because their behavior may heavily influence a user (think especially about children). The primary objective of this paper is to present the architecture and prototype implementation of a Multi Agent System (MAS) designed for ethical monitoring and evaluation of a dialogue system. A prototype application, for monitoring and evaluation of chatting agents' (human/artificial) ethical behavior in an online customer service chat point w.r.t their institution/company's codes of ethics and conduct, is developed and presented. We focus on the implementation specifics of the proposed system and the presented prototype application. Future work and open issues with this research are discussed
Logic-based machine learning for transparent ethical agents
Full text linkAutonomous intelligent agents are increasingly engaging in human communities. Thus, they must be expected to follow social and ethical norms of the community in which they are deployed in. In this work we present an approach for developing such ethical agents which are able to develop ethical decision making and judgment capabilities by learning from interactions with the users. Our approach is a logic-based approach and the resulting ethical agents are transparent by design.Autonomous intelligent agents are increasingly engaging in human communities. Thus, they must be expected to follow social and ethical norms of the community in which they are deployed in. In this work we present an approach for developing such ethical agents which are able to develop ethical decision making and judgment capabilities by learning from interactions with the users. Our approach is a logic-based approach and the resulting ethical agents are transparent by design.Autonomous intelligent agents are increasingly engaging in human communities. Thus, they must be expected to follow social and ethical norms of the community in which they are deployed in. In this work we present an approach for developing such ethical agents which are able to develop ethical decision making and judgment capabilities by learning from interactions with the users. Our approach is a logic-based approach and the resulting ethical agents are transparent by design
Ethical Monitoring and Evaluation of Dialogues with a MAS
No full textChatbots are tools aimed at simplifying the interaction between humans and computers, typically used in dialogue systems for various practical purposes. These systems should be built on ethical foundations because their behavior may heavily influence a user (think especially about children). The primary objective of this paper is to present the architecture and prototype implementation of a Multi Agent System (MAS) designed for ethical monitoring and evaluation of a dialogue system. A prototype application, for monitoring and evaluation of chatting agents' (human/artificial) ethical behavior in an online customer service chat point w.r.t their institution/company's codes of ethics and conduct, is developed and presented. We focus on the implementation specifics of the proposed system and the presented prototype application. Future work and open issues with this research are discussed
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