The course offers a range of actionable insights and benefits tailored to various stakeholders. Here’s how different groups could benefit:
1. Legal Professionals (Lawyers, Judges)
Benefits: Understands the emerging role of AI in legal practice, providing insights into how GenAI can enhance or transform traditional legal tasks.
Actionable Insights: Encourages legal professionals to engage in continuous learning to keep pace with technology and to consider ethical implications of AI in their practices.
Benefits: Offers a framework for integrating new technologies into legal curricula, ensuring that graduates are equipped with relevant skills.
Actionable Insights: Suggests specific areas within legal education that could benefit from the inclusion of GenAI, such as research methods and ethical decision-making.
Benefits: Provides an evidence-based perspective on how GenAI impacts legal education and practice, supporting informed policy making.
Actionable Insights: Could use insights from the paper to develop guidelines or standards for the integration of AI in legal education and practice, focusing on both skills training and ethical considerations.
4. AI Developers and Tech Companies
Benefits: Gains insight into the specific needs and opportunities within the legal sector that could guide the development of targeted AI solutions.
Actionable Insights: Encourages the development of AI tools that are tailored to the nuanced needs of legal education and practice, including features that promote ethical usage and transparency.
5. Students (Law Students, Prospective Legal Students)
Benefits: Provides a clear view of how their profession is evolving and what skills they need to succeed.
Actionable Insights: Students can actively seek out educational opportunities and extracurricular activities that enhance their understanding and use of AI in legal contexts.
6. Legal Technology Consultants
Benefits: Bolstered understanding of how AI is being integrated into legal education, enhancing their advisory capabilities.
Actionable Insights: Can offer more nuanced advice to clients on the implementation of AI tools in legal practices, emphasizing both the technological and educational benefits.
7. Ethics Boards and Committees
Benefits: Insight into the ethical challenges posed by GenAI in legal settings, aiding in the creation of comprehensive ethical guidelines.
Actionable Insights: Develop training and continuing education programs that address the ethical use of AI in legal practices and education.
Baidoo-Anu D and Owusu Ansah L, ‘Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning’ (2023) SSRN http://doi.org/10.2139/ssrn.4337484 accessed 4 June 2024
Biggs JB, ‘Approaches to Learning and Essay Writing’ in Schmeck RR (ed), Learning Strategies and Learning Styles (Plenum Press 1988) 185-228
Bremner PA and Laing A, ‘The Disrupted Workplace: Are the Digital and Group Skills Needs of Employers Being Addressed by Universities?’ (2019) 16 Journal of Learning Development in Higher Education https://doi.org/10.47408/jldhe.v0i16.535 accessed 4 June 2024
Bryan C and Clegg K (eds), Innovative Assessment in Higher Education: A Handbook for Academic Practitioners (2nd edn, Routledge 2019)
Eke DO, ‘ChatGPT and the Rise of Generative AI: Threat to Academic Integrity?’ (2023) 13 Journal of Responsible Technology https://doi.org/10.1016/j.jrt.2023.100060 accessed 4 June 2024
Harland T, ‘Learning About Case Study Methodology to Research Higher Education’ (2014) 33(6) Higher Education Research & Development 1113-1122 https://doi.org/10.1080/07294360.2014.911253 accessed 4 June 2024
Jones R, ‘Assessment and Legal Education: What Is Assessment, and What the Does It Have to Do with the Challenges Facing Legal Education’ (2013) 45(1) McGeorge Legal Review 86-110
Kalla D and Smith N, ‘Study and Analysis of Chat GPT and Its Impact on Different Fields of Study’ (2023) 8(3) International Journal of Innovative Science and Research Technology
Kember D and Kwan K, ‘Lecturers’ Approaches to Teaching and Their Relationship to Conceptions of Good Teaching’ (2000) 28(5) Instructional Science 469-490 https://doi.org/10.1023/A:1026569608656 accessed 4 June 2024
Marjan A, Barker K, Gilbert A, Hardie L and Ryan F, ‘ChatGPT and the Future of Legal Education and Practice’ (2023) 57(3) The Law Teacher 1-13 https://doi.org/10.1080/03069400.2023.2207426 accessed 4 June 2024
McArthur J, ‘Assessment for Social Justice: The Role of Assessment in Achieving Social Justice’ (2016) 41(7) Assessment & Evaluation in Higher Education 967-981 https://doi.org/10.1080/02602938.2015.1053429 accessed 4 June 2024
Michel-Villarreal R, Vilalta-Perdomo E, Salinas-Navarro DE, Thierry-Aguilera R and Gerardou FS, ‘Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT’ (2023) 13(9) Education Sciences https://doi.org/10.3390/educsci13090856 accessed 4 June 2024
Pierce N and Goutos S, ‘Why Lawyers Must Responsibly Embrace Generative AI’ (2024) 21(2) Berkeley Business Law Journal https://doi.org/10.2139/ssrn.4477704 accessed 4 June 2024
Plata S, Guzman MAD and Quesada A, ‘Emerging Research and Policy Themes on Academic Integrity in the Age of Chat GPT and Generative AI’ (2023) 19(4) Asian Journal of University Education 743-758 https://doi.org/10.24191/ajue.v19i4.24697 accessed 4 June 2024
Rudolph J, Tan S and Tan S, ‘ChatGPT: Bullshit Spewer or the End of Traditional Assessments in Higher Education?’ (2023) 6(1) Journal of Applied Learning and Teaching
Scouller K, ‘The Influence of Assessment Method on Students’ Learning Approaches: Multiple Choice Question Examination Versus Assignment Essay’ (1998) 35 Higher Education 453-472 https://doi-org.salford.idm.oclc.org/10.1023/A:1003196224280 accessed 4 June 2024
Smolansky A, Cram A, Raduescu C, Zeivots S, Huber E and Kizilcec RF, ‘Educator and Student Perspectives on the Impact of Generative AI on Assessments in Higher Education’ in Spikol D (ed), L@S ’23: Proceedings of the Tenth ACM Conference on Learning @ Scale (Association for Computing Machinery 2023) 378-382 https://doi.org/10.1145/3573051.3596191 accessed 4 June 2024
Sokhanvar Z, Salehi K and Sokhanvar F, ‘Advantages of Authentic Assessment for Improving the Learning Experience and Employability Skills of Higher Education Students: A Systematic Literature Review’ (2021) 70 Studies in Educational Evaluation https://doi.org/10.1016/j.stueduc.2021.101030 accessed 4 June 2024
Sharma SK, Palvia SCJ and Kumar K, ‘Changing the Landscape of Higher Education: From Standardized Learning to Customized Learning’ (2017) 19(2) Journal of Information Technology Case and Application Research 75-80 https://doi.org/10.1080/15228053.2017.1345214 accessed 4 June 2024
Susskind RE and Susskind D, The Future of the Professions: How Technology Will Transform the Work of Human Experts (Oxford University Press 2023)
Swiecki Z, Khosravi H, Chen G, Martinez-Maldonado R, Lodge JM, Milligan S, Selwyn N and Gašević D, ‘Assessment in the Age of Artificial Intelligence’ (2022) 3 Computers and Education: Artificial Intelligence https://doi.org/10.1016/j.caeai.2022.100075 accessed 4 June 2024
van Laar E, van Deursen AJ, van Dijk JA and de Haan J, ‘The Relation Between 21st-Century Skills and Digital Skills: A Systematic Literature Review’ (2017) 72 Computers in Human Behavior 577-588 https://doi.org/10.1016/j.chb.2017.03.010 accessed 4 June 2024
Walters WH, ‘The Effectiveness of Software Designed to Detect AI-Generated Writing: A Comparison of 16 AI Text Detectors’ (2023) 7(1) Open Information Science https://doi.org/10.1515/opis-2022-0158 accessed 4 June 2024
Whittam S, ‘Keep it Real: The Case for Introducing Authentic Tasks in the Undergraduate Law Degree’ (2023) 33(1) Legal Education Review 127-142 https://doi.org/10.53300/001c.87815 accessed 4 June 2024