Fostering AI Research And Development: Towards A Trustworthy LLM: Mitigating Compliance Risks Illustrated via Scenarios

The rapid growth of Large Language Models (LLMs) challenges the Rule of Law, necessitating a thorough examination of their disruptive potential. This paper highlights the importance of adhering to these principles for responsible LLM deployment. Using a scenario-based approach, we show how specific design choices can lead to unintended consequences. We present a hypothetical case of developing an LLM, focusing on the inclusion of an opt-out option for personal data removal. Two scenarios are explored: one with and one without this option, illustrating how this decision impacts compliance with the Rule of Law. The paper emphasizes anticipating regulatory requirements and linking design choices to legal principles during research and development. By addressing these considerations early, stakeholders can better prepare for legislative changes and mitigate compliance risks. This paper aims to guide end-users, policymakers, researchers, and industry participants on mitigating risks and ensuring responsible LLM deployment.