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Dr Nachshon (Sean) Goltz

Senior Lecturer

Contact Information Telephone: +61 8 6304 3102, Email:, Campus: Joondalup, Room: JO22.318
Staff Member Details
Telephone: +61 8 6304 3102
Campus: Joondalup  
Room: JO22.318  


Sean is a Senior Lecturer in the School of Business and Law. Sean's research and teaching focuses on law and technology in general and specifically on the ethics of artificial intelligence.

Key research areas

  • Technology
  • Artificial Intelligence
  • Cybersecurity


Sean is a senior lecturer at the school of business and law and a published author of numerous academic articles with special depth in the regulatory and ethical issues associated with technology in general and artificial intelligence in specific. Sean is a co-founding member of the IEEE task force on the ethical and social implications of computational intelligence.

Sean has practiced law in Canada and Israel and is the co-founder of the world’s most comprehensive purpose-built online reference source of Global Regulation, a tool with which governments, academic institutions, corporations and professional researchers study a rapidly growing body of 1.8 million pieces of legislation from 95 countries, translated into English.

Theme four: Securing Digital Futures; Artificial intelligence and autonomous systems, Critical Infrastructure, Cyber-enabled crime, Digital citizenship and human behaviour, Information Warfare and, Secure systems

  • Israel
  • Hebrew


  • Doctor of Philosophy, Canada, 2017.
  • Master of Laws, Israel, 2011.
  • Bachelor Of Laws, Israel, 2008.
  • Bachelor Of Arts, Israel, 2002.

Recent Publications (within the last five years)


  • Goltz, S., Dowdeswell, T., (2019), The Imaginationless Generation - Lessons from Ancient Culture on Regulating New Media., Leiden, The Netherlands, Brill.

Journal Articles

  • Goltz, S., Cameron-Huff, A., Dondoli, G., (2019), Rethinking Global Regulation, World’s Law Meets Artificial Intelligence. Information and Communications Technology Law, 28(1), 36-45, Routledge, DOI: 10.1080/13600834.2019.1557400.
  • Dondoli, G., Goltz, S., (2019), A note on science, legal research and artificial intelligence. Information and Communications Technology Law, 28(3), 239-251, DOI:
  • Goltz, S., Dondoli, G., (2018), Gaming the Law: Adolescents and the Harmful Digital Communication Act - Employing an Educational Approach. SMU Science and Technology Law Review, XXI(1), 3-19.
  • Gibbons, T., Lewis, M., Goltz, S., (2018), Partial Takings. New Zealand Law Journal, 2018(March), 44-68, Wellington, New Zealand, Butterworths of New Zealand Ltd..
  • Goltz, S., Bogdanov, E., (2016), Lessons From Washington and Colorado: The Potential Financial Gains of Recreational Marijuana to Canada. Canada - United States Law Journal, 40(1), 126-139.

Conference Publications

  • Crockett, K., Goltz, S., Garratt, M., Latham, A., (2019), Trust in Computational Intelligence Systems: A Case study in Public Perceptions. 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, 3227-3234, Piscataway, NJ, IEEE, DOI: 10.1109/CEC.2019.8790147.
  • Latham, A., Goltz, S., (2019), A Survey of the General Public’s Views on the Ethics of using Artificial Intelligence in Education. Artificial Intelligence in Education: 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, 1(June 25-29, 2019), 194-206, Cham, Switzerland, Springer, DOI: 10.1007/978-3-030-23204-7_17.
  • Crockett, K., Goltz, S., Garratt, M., (2018), GDPR Impact on Computational Intelligence Research. 2018 International Joint Conference on Neural Networks (IJCNN), Article number 8489614, online, IEEE, DOI: 10.1109/IJCNN.2018.8489614.
  • Goltz, S., (2017), Linked Democracy 3.0 - Global Machine Translated Legislation and Compliance in the Age of Artificial Intelligence. Proceedings of the Workshop on Linked Democracy: Artificial Intelligence for Democratic Innovation co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 98-105, online, International Joint Conference on Artificial Intelligence.
  • Mayo, M., Goltz, S., (2017), Constructing Document Vectors Using Kernel Density Estimates. Modeling Decisions for Artificial Intelligence, 183-194, Cham, Switzerland, Springer, DOI: 10.1007/978-3-319-67422-3_16.
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