The field of Artificial intelligence (AI) is rapidly evolving. Its integration into the legal industry raises important questions about responsibility and ethics – ones that warrant careful consideration.
In this blog post, we'll explore four key aspects of responsible and ethical legal AI: explainability, specialized data sets, collaboration between developers and legal professionals, and addressing biases.
Any responsible and ethical legal AI should be explainable. When AI systems provide results or make recommendations, it's crucial to understand the sources of information and the reasoning behind these conclusions. This transparency is essential for avoiding AI "hallucinations", in other words, flawed outcomes based on erroneous data or logic.
When inaccuracies occur, humans can step in to address them, fostering a collaborative relationship between AI and human expertise. But if you don’t know how it reached the conclusions it did, how can you know if it’s a hallucination or if you’re just missing something?
High-quality data is the lifeblood of AI. Using reputable sources is imperative, and that means relying on specialized data sets. Relying on social media posts or unverified information can lead to thinking the Uniform Commercial Code might save you from a parking ticket. By prioritizing accurate and relevant data, we can ensure that legal AI systems remain reliable and trustworthy.
Since AI primarily mimics the patterns it has learned from its training data, we must carefully consider the sources of data, and be vigilant in identifying and addressing any historical biases. This may involve adding disclaimers when necessary, and acknowledging that certain results could be influenced by outdated or biased information. Responsible AI should acknowledge the potential influence of outdated or biased information.
Finally, it’s essential to recognize the power of collaboration between legal professionals and AI developers. Neither one can truly do the work needed without the other - both face a monumental and important task ahead of them. Legal professionals bring their domain expertise and understanding of ethical standards, while AI developers contribute technical skills and innovative solutions. By working together, they can create AI tools that complement human expertise and elevate the practice of law. This symbiotic relationship helps to ensure that the integration of AI in the legal field is both responsible and ethical, paving the way for a brighter future for legal professionals and their clients.
The path toward responsible and ethical legal AI involves embracing explainability, utilizing specialized data sets, and addressing biases. As we integrate AI into the legal field, we ought to strive to create systems that are transparent, reliable, and fair. That will bolster better outcomes which will in turn make more trust.