Find Michael Guihot on
PhD (Deakin University), Bachelor of Laws (University of Newcastle)
My research investigates the intricate relationships between emerging technologies, particularly artificial intelligence (AI), and their impact on legal frameworks and societal governance. I explore how AI regulation and policy development intersect with power dynamics in technological adoption, examining the roles of various stakeholders and the potential for AI to reshape existing power structures. My work also examines the transformative effects of AI on legal institutions, studying its influence on legal work including document review, decision-making processes, dispute resolution, and access to justice. Additionally, I investigate the tensions between AI advancements and individual privacy rights and the relationship of social power between technology companies and individual users of their products.
In my teaching and research, I actively engage with generative AI technologies to prepare students for the evolving legal landscape. I incorporate hands-on experiences with AI tools in my units, encouraging students to explore their capabilities and limitations firsthand. Through carefully designed assignments and discussions, I challenge students to critically analyse the ethical, legal, and societal implications of AI. I emphasise the importance of developing a nuanced understanding of AI's strengths and weaknesses, ensuring that future legal professionals can leverage these tools responsibly while maintaining critical thinking skills. By fostering an environment of informed skepticism and practical exploration, I aim to equip students with the knowledge and critical faculties necessary to navigate the complex intersection of AI and law in their future careers.
Additional information
- Guihot, M., (2019). Coherence in technology law. Law, Innovation and Technology, 11(2), 311–342. https://eprints.qut.edu.au/132817
- Guihot, M., (2019). New technology, the death of the biglaw monopoly and the evolution of the computer professional. North Carolina Journal of Law and Technology, 20(3), 405–469. https://eprints.qut.edu.au/128779
- Guihot, M., Matthew, A. & Suzor, N. (2017). Nudging robots: Innovative solutions to regulate artificial intelligence. Vanderbilt Journal of Entertainment and Technology Law, 20(2), 385–456. https://eprints.qut.edu.au/109926
- Guihot, M. & Rimmer, M. (2019). Artificial Intelligence: Governance and Leadership - A submission to the Australian Human Rights Commission and World Economic Forum. https://eprints.qut.edu.au/127442
- Gopalan, S. & Guihot, M. (2016). Cross-border insolvency law, 1st edition. LexisNexis Butterworths. https://eprints.qut.edu.au/91210
- Guihot, M., (2016). Cross-border insolvency: A case for a transaction cost economics analysis. Norton Journal of Bankruptcy Law and Practice, 25(5), 507–558. https://eprints.qut.edu.au/101828
- Guihot, M., (2014). Putting the 'personal' back into injuries: An interpretation of Pt 3-5 of the Australian Consumer Law. Competition and Consumer Law Journal, 21(3), 232–247. https://eprints.qut.edu.au/84398
- McGee, J., Guihot, M. & Connor, T. (2013). Rediscovering law students as citizens: Critical thinking and the public value of legal education. Alternative Law Journal, 38(2), 77–81. https://eprints.qut.edu.au/84400