Towards Ethical Machines Via Logic Programming

Dyoub, Abeer; Lisi, Francesca A.

doi:10.4204/eptcs.306.39

Cited by 7 publications

(9 citation statements)

References 11 publications

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“…There, the authors start from the illustration of moral philosophical concepts ranging from ancient philosophers to recent works in neurology and cognitive sciences, discuss concepts like morals, ethics, judgment or values, and then identify the kinds of philosophical ethical theories that have been applied or are potentially applicable to agents and multi-agent systems, providing many relevant references. In particular, [63,65] concern theories developed in logic, and then transposed into Computational Logic. They discuss in some depth two seminal lines of work: the one by Pereira et al, starting from the famous book [67], and summarized in the more recent book [68], which exploits a blend of many forms of logic programming; and, the one by Marek Sergot (cf.…”

Section: Background: Verification Methods For Agent Systemsmentioning

confidence: 99%

Ensuring trustworthy and ethical behaviour in intelligent logical agents

Costantini

2022

Journal of Logic and Computation

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Autonomous intelligent agents are employed in many applications upon which the life and welfare of living beings and vital social functions may depend. Therefore, agents should be trustworthy. A priori certification techniques (i.e. techniques applied prior to system’s deployment) can be useful, but are not sufficient for agents that evolve, and thus modify their epistemic and belief state, and for open multi-agent systems, where heterogeneous agents can join or leave the system at any stage of its operation. In this paper, we propose/refine/extend dynamic (runtime) logic-based self-checking techniques, devised in order to be able to ensure agents’ trustworthy and ethical behaviour.

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Section: Background: Verification Methods For Agent Systemsmentioning

confidence: 99%

Ensuring trustworthy and ethical behaviour in intelligent logical agents

Costantini

2022

Journal of Logic and Computation

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“…The ethical evaluation approach implemented in the proposed system is based on previous work discussed in [1,2,3]. This approach combines both top-down (rule-based) and bottom-up (learning) approaches in one unified hybrid framework.…”

Section: Ethical Evaluation Approachmentioning

confidence: 99%

“…In addition, there are many situations in which obligations might conflict. In [1,2,3] we proposed an approach for generating the missing ethical detailed rules needed for ethical decision making and judgment via learning from interactions with customers over time. In our approach, the ethical evaluation agent will initially have in its knowledge base the set of ethical codes that provide a clear decision procedure which is encoded deductively using ASP.…”

Section: Ethical Evaluation Approachmentioning

confidence: 99%

“…In previous works [1,2,3], a hybrid logic-based approach was proposed for ethical evaluation of chatbots' behavior, concerning online customer service chat points, w.r.t institution/company's codes of ethics and conduct. The approach is based on Answer Set Programming (ASP) as a knowledge representation and reasoning language [5], and Inductive Logic Programming (ILP) for learning ASP rules needed for ethical evaluation and reasoning [7].…”

Section: Introductionmentioning

confidence: 99%

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A Logic-based Multi-agent System for Ethical Monitoring and Evaluation of Dialogues

Dyoub

Letteri

Lisi

2021

Electron. Proc. Theor. Comput. Sci.

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Dialogue Systems are tools designed for various practical purposes concerning human-machine interaction. 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. Future work and open issues with this research are discussed.

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“…There are many well known proposed solutions based on ASP such as [17,65,92]. -There is promising work related with ethical chatbots [21] that could allow Cecilia to become more respectful to improve its ethical interaction with the student. -ASP parallelism [19,74].…”

Section: Pre-evaluation Of Ceciliamentioning

confidence: 99%

Creative Composition Problem: A Knowledge Graph Logical-Based AI Construction and Optimization Solution

Galindo

Moreno²

2021

Lecture Notes in Computer Science

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Contribution of this work is to Define the Creative Composition Problem (CCP) for Human Well-being Optimization by Construction of Knowledge Graph using Knowledge Representation and logic-based Artificial Intelligence reasoning-planning where the computation of the Optimal Solution is achieved by Dynamic Programming or Logic Programming. The Creative Composition Problem is embedded within Cecilia: an architecture of a digital companion artificial intelligence agent system composer of dialogue scripts for Well-being and Mental Health. Where Cecilia Framework is instantiated in Well-being and Mental Health domain for optimal well-being development of first year university students. We define the ‘The Problem of Creating a Dialogue Composition (PCDC)’ and we propose a feasible and optimal solution of it. CCP is instantiated in this applied domain to solve PCDC optimizing the Mental Health and Well-being of the student. CCP as PCDC is applied to optimize maximizing the mental health of the student but also maximizing the smoothness, coherence, enjoyment and engagement each time the dialogue session is composed. Cecilia helps students to manage stress/anxiety to attempt the prevention of depression. Students can interact through the digital companion making questions and answers. While the system “learns” from the user it allows the user to learn from herself. Once the student discovers elements that were unnoticed by her, she will find a better way to improve when discovering her points of improvement.

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Towards Ethical Machines Via Logic Programming

Cited by 7 publications

References 11 publications

Ensuring trustworthy and ethical behaviour in intelligent logical agents

Ensuring trustworthy and ethical behaviour in intelligent logical agents

A Logic-based Multi-agent System for Ethical Monitoring and Evaluation of Dialogues

Creative Composition Problem: A Knowledge Graph Logical-Based AI Construction and Optimization Solution

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