Abstract
Artificial Intelligence (AI), while transforming legal practice, presents various ethical challenges concerning transparency, fairness and accountability. These challenges span the entire AI lifecycle, from design and development to deployment and usage, affecting the day-to-day operations of legal technologies. When using AI, lawyers are subject to the professional conduct duties and ethical responsibilities, widely known as ‘legal ethics’. On the other hand, ‘AI ethics’ emerges as a response to AI-related challenges arising from the AI lifecycle, providing a suite of principles, rules and mechanisms focused on how to create and implement AI, including for legal sector. This article explores how such ethical challenges affecting legal practice, ie biases, hallucinations, discriminatory or misleading outcomes, should be addressed from the perspective of AI ethics and legal ethics, to build up a governance approach responsive to the issues and concerns across the AI lifecycle. To that end, status quo, revised legal ethics rules and multistakeholder collaboration are examined as the selected policy options representing readily available and implementable means for the legal sector. Among these, emphasis is placed on ‘multistakeholder collaboration’ as it lays the ground for a holistic governance model that can effectively address the ethical challenges. By promoting a collaborative, bottom-up and adaptive structure, this model holds potential to foster robust and sustainable interactions among representatives of both AI ethics and legal ethics. It can thereby create a broader ethical discourse along with sustainable governance mechanisms addressing the complex ethical issues associated with AI in the legal sector.
Original language | English |
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Article number | 2 |
Pages (from-to) | 177-198 |
Number of pages | 22 |
Journal | Journal of AI Law and Regulation |
Volume | 1 |
Issue number | 2 |
DOIs | |
Publication status | Published - 17 Jul 2024 |
Keywords
- AI ethics
- Legal ethics
- Transparency
- Accountability
- Fairness
- Multistakeholder collaboration