¿Cómo se puede garantizar la transparencia de los contratos generados por IA?

Clarity is key before deploying AI to generate contracts. Before deploying AI, set clear goals and expectations. What do you want to achieve? Increased efficiency? Improved accuracy? Reduced bias? Defining your objectives helps choose the right AI solution and measure success. Its always beneficial to include all the intended users (Legal, Business, Sales, procurement etc).

Explore options that prioritize transparency. Look for solutions with Explainable AI (XAI) capabilities and detailed audit logs to understand the "why" behind generated clauses. Also try to find solutions which is adaptable to your needs and existing processes. Its never a one size fits all when it comes to AI solutions and so the focus should not be on what's best but on what's best for you.

Depending on the scope of your needs and given the market landscape of current AI tool offerings, it might be unnecessary and potentially less helpful to actually pursue training an AI model of your own, as opposed to just leveraging a pre-existing application or tool. Training and maintaining an AI model is challenging. Even after the model is initially trained, any further training thereafter risks degradation instead of improvement. These demands can place a heavy burden on any organization seeking to leverage AI. However, many applications and tools have been created this past year which leverage pretrained foundational models. Such tools might be a good out-of-the-box solution that saves time and investment while still benefitting.

Develop standards and best practices for AI-generated contracts. This includes guidelines on structure, language, and legal requirements. Ensure comprehensive documentation of the AI models, including their design, training data, and updates. This helps in understanding the AI’s "thought process". Train the users of AI-generated contracts, including legal teams and other stakeholders, to understand AI capabilities and limitations. Increased awareness and understanding among users can lead to better utilization and trust in AI-generated contracts.

Maintain comprehensive logs of AI decisions and actions. This should include details on what data was used, how the AI processed this data, and how decisions were reached. In contract generation, an audit trail would record every step the AI took in drafting, revising, and finalizing the contract. Regularly review and update the AI systems to ensure they remain accurate and relevant, especially considering the dynamic nature of legal and industrial norms.