John Zeleznikow | Victoria University Australia (original) (raw)
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Papers by John Zeleznikow
International journal of artificial intelligence in education, May 14, 2024
IGI Global eBooks, Jan 18, 2011
Legal Knowledge Management (9781599049335): John Zeleznikow: Book Chapters.
Cambridge University Press eBooks, Aug 3, 2010
International Association for Development of the Information Society eBooks, 2004
ABSTRACT
International Conference on Artificial Intelligence and Law, 1997
24th Australasian Conference on Information Systems (ACIS), 2013
WORLD SCIENTIFIC eBooks, 1990
De Gruyter eBooks, Jul 4, 2022
Social Science Research Network, 2022
Social Science Research Network, 2020
This paper discusses the regulation of artificial intelligence from a Jewish perspective, with an... more This paper discusses the regulation of artificial intelligence from a Jewish perspective, with an emphasis on the regulation of machine learning and its application to autonomous vehicles and machine learning. Through the Biblical story of Adam and Eve as well as Golem legends from Jewish folklore, we derive several basic principles that underlie a Jewish perspective on the moral and legal person-hood of robots and other artificially intelligent agents. We argue that religious ethics in general, and Jewish ethics in particular, show us that the dangers of granting moral person-hood to robots and in particular to autonomous vehicles lie not in the fact that they lack a soul – or consciousness or feelings or interests – but because to do so weakens our own ability to develop as fully autonomous legal and moral persons. Instead, we argue that existing legal persons should continue to maintain legal control over artificial agents, while natural persons assume ultimate moral responsibility for choices made by artificial agents they employ in their service. In the final section of the paper we discuss the trolley dilemma in the context of governing autonomous vehicles and sketch out an application of Jewish ethics in a case where we are asking Artificial Intelligence to make life and death decisions. Our novel contribution is twofold; first, we bring a religious approach to the discussion of the ethics of Artificial Intelligence which has hitherto been dominated by secular Western philosophies; second, we raise the idea that artificial entities who are trained through machine learning can be ethically trained in much the same way that human are – through reading and reflecting on core religious texts. This is both a way of ensuring the ethical regulation of artificial intelligence, but also promotes other core values of regulation, such as democratic engagement and user choice.
ABSTRACT There has been very little published research on building legal decision support systems... more ABSTRACT There has been very little published research on building legal decision support systems to perform risk assessment. Yet one of the principal goals of the law is to reduce risk through the avoidance of litigation. This paper discusses ongoing research on how legal decision support systems can support risk reduction and negotiation. Toulmin's theory of argumentation is proposed as one technique for building legal decision support systems.
Cambridge University Press eBooks, Aug 3, 2010
Introduction Information technology has become an integral part of dispute resolution processes, ... more Introduction Information technology has become an integral part of dispute resolution processes, and is of course an essential ingredient of Online Dispute Resolution (ODR). Recently, the role of IT has become prominent in the provision of offline dispute resolution services. Within the judiciary, the introduction of IT is often used as an enabler of change within the organisation (see, for example, Fabri and Contini 2001; Oskamp et al . 2004). A striking example of the use of IT in courts relates to Singapore (Thian 2004). Within ten years, an old-fashioned, slow-working judicial organisation with enormous backlogs became a smooth-functioning, modern judiciary with hardly any backlog. However, no matter how influential IT currently is in the operation of the judiciary, most judicial applications do not deal with the real content of the cases before the court. Tools that support calculations are an exception: for example, calculators which are used by judges to determine alimony in divorce proceedings. Basically, IT helps in streamlining the process. Examples include case management and workflow management systems. As distinct from traditional offline processes, ODR by nature needs IT to resolve the conflict: in the online environment all communication is inherently electronic. So, the role of technology is pivotal, and information technology is always present. The authors of this text have roots in the field of Artificial Intelligence and Law. One of the aims of Artificial Intelligence and Law is basically to apply advanced technology to the domain of law. Conflicts lie at the heart of law.
International Conference on Artificial Intelligence and Law, Jun 30, 1997
Oxford Journal of Law and Religion, Feb 1, 2020
Lecture Notes in Computer Science, 2018
There is a consensus that trust in one’ opponent plays a significant role in promoting parties to... more There is a consensus that trust in one’ opponent plays a significant role in promoting parties to engage in the conflict management process. Trust is an important yet complex and little-understood relation among parties in conflict. In general, trust can be seen as a measure of confidence that an entity or entities will behave expectedly. Without trust, the instruments to prevent or manage the conflict, such as negotiation, are handicapped and cannot reach their full potential for promoting an end to or a mitigation of a conflict. Hence, our motivation to examine trust is three-fold. First, the present study aims to address and expand on this line of research by investigating the possibility of measuring trust based on quantifiable behavior. To do so, we provide a brief review of the existing definitions of trust and define trust in the context of a negotiation scenario. Further, we propose a formal definition so that the analysis of trust in this kind of scenarios can be developed. Thus, it is suggested the use of Ambient Intelligence techniques that use a trust data model to collect and evaluate relevant information based on the assumption that observable trust between two entities (parties) results in certain typical behaviors. Third, this work aims to study the particular connection between relational aspects of trust and parties’ conflict styles based on two dimensions: cooperativeness and assertiveness. The main contribution of this work is the identification of situations in which trust relationships influences the negotiation performance. To do so, an experiment was set-up in which we tried to streamline all the relevant aspects of the interaction between the parties and its environment that occur in a sensory rich environment, to measure trust. To simulate a conflict situation, a web-based game was developed. It was designed to enable test participants to engage in a conflict experience induced by the presence of Ambient Intelligence systems. Several tests were performed. We then engaged in rigorous assessment, post- processing and analysis of results. We validated the results comparing them with trust measures obtained through the use of a questionnaire (carefully adapted) from social networks.
IGI Global eBooks, 2020
The present article considers the importance of legal system origin in compliance with ‘internati... more The present article considers the importance of legal system origin in compliance with ‘international soft law,' or normative provisions contained in non-binding texts. The study considers key economic and governance metrics on national acceptance an implementation of the first Basle accord. Employing a data set of 70 countries, the present study considers the role of market forces and bilateral and multi-lateral pressures on implementation of soft law. There is little known about the role of legal system structure-related variables as factors moderating the implementation of multi-lateral agreements and international soft law, such as the 1988 accord. The present study extends upon research within the extant literature by employing a novel estimation method, a neural network modelling technique, with multi-layer perceptron artificial neural network (MPANN). Consistent with earlier studies, the article identifies a significant and positive effect associated with democratic systems and the implementation of the Basle accord. However, extending upon traditional estimation techniques, the study identifies the significance of savings rates and government effectiveness in determining implementation. Notably, the method is able to achieve a superior goodness of fit and predictive accuracy in determining implementation.
Commentationes Mathematicae Universitatis Carolinae, 1984
International journal of artificial intelligence in education, May 14, 2024
IGI Global eBooks, Jan 18, 2011
Legal Knowledge Management (9781599049335): John Zeleznikow: Book Chapters.
Cambridge University Press eBooks, Aug 3, 2010
International Association for Development of the Information Society eBooks, 2004
ABSTRACT
International Conference on Artificial Intelligence and Law, 1997
24th Australasian Conference on Information Systems (ACIS), 2013
WORLD SCIENTIFIC eBooks, 1990
De Gruyter eBooks, Jul 4, 2022
Social Science Research Network, 2022
Social Science Research Network, 2020
This paper discusses the regulation of artificial intelligence from a Jewish perspective, with an... more This paper discusses the regulation of artificial intelligence from a Jewish perspective, with an emphasis on the regulation of machine learning and its application to autonomous vehicles and machine learning. Through the Biblical story of Adam and Eve as well as Golem legends from Jewish folklore, we derive several basic principles that underlie a Jewish perspective on the moral and legal person-hood of robots and other artificially intelligent agents. We argue that religious ethics in general, and Jewish ethics in particular, show us that the dangers of granting moral person-hood to robots and in particular to autonomous vehicles lie not in the fact that they lack a soul – or consciousness or feelings or interests – but because to do so weakens our own ability to develop as fully autonomous legal and moral persons. Instead, we argue that existing legal persons should continue to maintain legal control over artificial agents, while natural persons assume ultimate moral responsibility for choices made by artificial agents they employ in their service. In the final section of the paper we discuss the trolley dilemma in the context of governing autonomous vehicles and sketch out an application of Jewish ethics in a case where we are asking Artificial Intelligence to make life and death decisions. Our novel contribution is twofold; first, we bring a religious approach to the discussion of the ethics of Artificial Intelligence which has hitherto been dominated by secular Western philosophies; second, we raise the idea that artificial entities who are trained through machine learning can be ethically trained in much the same way that human are – through reading and reflecting on core religious texts. This is both a way of ensuring the ethical regulation of artificial intelligence, but also promotes other core values of regulation, such as democratic engagement and user choice.
ABSTRACT There has been very little published research on building legal decision support systems... more ABSTRACT There has been very little published research on building legal decision support systems to perform risk assessment. Yet one of the principal goals of the law is to reduce risk through the avoidance of litigation. This paper discusses ongoing research on how legal decision support systems can support risk reduction and negotiation. Toulmin's theory of argumentation is proposed as one technique for building legal decision support systems.
Cambridge University Press eBooks, Aug 3, 2010
Introduction Information technology has become an integral part of dispute resolution processes, ... more Introduction Information technology has become an integral part of dispute resolution processes, and is of course an essential ingredient of Online Dispute Resolution (ODR). Recently, the role of IT has become prominent in the provision of offline dispute resolution services. Within the judiciary, the introduction of IT is often used as an enabler of change within the organisation (see, for example, Fabri and Contini 2001; Oskamp et al . 2004). A striking example of the use of IT in courts relates to Singapore (Thian 2004). Within ten years, an old-fashioned, slow-working judicial organisation with enormous backlogs became a smooth-functioning, modern judiciary with hardly any backlog. However, no matter how influential IT currently is in the operation of the judiciary, most judicial applications do not deal with the real content of the cases before the court. Tools that support calculations are an exception: for example, calculators which are used by judges to determine alimony in divorce proceedings. Basically, IT helps in streamlining the process. Examples include case management and workflow management systems. As distinct from traditional offline processes, ODR by nature needs IT to resolve the conflict: in the online environment all communication is inherently electronic. So, the role of technology is pivotal, and information technology is always present. The authors of this text have roots in the field of Artificial Intelligence and Law. One of the aims of Artificial Intelligence and Law is basically to apply advanced technology to the domain of law. Conflicts lie at the heart of law.
International Conference on Artificial Intelligence and Law, Jun 30, 1997
Oxford Journal of Law and Religion, Feb 1, 2020
Lecture Notes in Computer Science, 2018
There is a consensus that trust in one’ opponent plays a significant role in promoting parties to... more There is a consensus that trust in one’ opponent plays a significant role in promoting parties to engage in the conflict management process. Trust is an important yet complex and little-understood relation among parties in conflict. In general, trust can be seen as a measure of confidence that an entity or entities will behave expectedly. Without trust, the instruments to prevent or manage the conflict, such as negotiation, are handicapped and cannot reach their full potential for promoting an end to or a mitigation of a conflict. Hence, our motivation to examine trust is three-fold. First, the present study aims to address and expand on this line of research by investigating the possibility of measuring trust based on quantifiable behavior. To do so, we provide a brief review of the existing definitions of trust and define trust in the context of a negotiation scenario. Further, we propose a formal definition so that the analysis of trust in this kind of scenarios can be developed. Thus, it is suggested the use of Ambient Intelligence techniques that use a trust data model to collect and evaluate relevant information based on the assumption that observable trust between two entities (parties) results in certain typical behaviors. Third, this work aims to study the particular connection between relational aspects of trust and parties’ conflict styles based on two dimensions: cooperativeness and assertiveness. The main contribution of this work is the identification of situations in which trust relationships influences the negotiation performance. To do so, an experiment was set-up in which we tried to streamline all the relevant aspects of the interaction between the parties and its environment that occur in a sensory rich environment, to measure trust. To simulate a conflict situation, a web-based game was developed. It was designed to enable test participants to engage in a conflict experience induced by the presence of Ambient Intelligence systems. Several tests were performed. We then engaged in rigorous assessment, post- processing and analysis of results. We validated the results comparing them with trust measures obtained through the use of a questionnaire (carefully adapted) from social networks.
IGI Global eBooks, 2020
The present article considers the importance of legal system origin in compliance with ‘internati... more The present article considers the importance of legal system origin in compliance with ‘international soft law,' or normative provisions contained in non-binding texts. The study considers key economic and governance metrics on national acceptance an implementation of the first Basle accord. Employing a data set of 70 countries, the present study considers the role of market forces and bilateral and multi-lateral pressures on implementation of soft law. There is little known about the role of legal system structure-related variables as factors moderating the implementation of multi-lateral agreements and international soft law, such as the 1988 accord. The present study extends upon research within the extant literature by employing a novel estimation method, a neural network modelling technique, with multi-layer perceptron artificial neural network (MPANN). Consistent with earlier studies, the article identifies a significant and positive effect associated with democratic systems and the implementation of the Basle accord. However, extending upon traditional estimation techniques, the study identifies the significance of savings rates and government effectiveness in determining implementation. Notably, the method is able to achieve a superior goodness of fit and predictive accuracy in determining implementation.
Commentationes Mathematicae Universitatis Carolinae, 1984
Knowledge management can help firms to achieve a competitive advantage. However the hotel industr... more Knowledge management can help firms to achieve a competitive advantage. However the hotel industry has shown little evidence of adopting knowledge management practices to support the management of customer complaints. Based on secondary and primary data sources, this paper analyses the environmental considerations that impact upon customer complaint knowledge management in hotel settings. The authors argue that any design or implementation of knowledge enabled complaint management systems should consider the environmental factors identified in the present paper. These will provide challenges and opportunities for hotels which value innovative approaches in the application of customer complaint management knowledge.
Key words: Knowledge Management, Hotel Customer Complaint Management