TL;DR
This paper argues that implementing legal frameworks is a promising approach to ensuring AI safety and alignment with human values, offering a structured and enforceable method compared to other solutions.
Contribution
It advocates for law-based approaches as the most effective means to address AI safety, emphasizing the role of legal systems in regulating AI behavior.
Findings
Legal systems can provide enforceable safety standards for AI.
Law-based approaches can adapt to complex AI safety challenges.
Legal frameworks offer a structured way to manage AI risks.
Abstract
How to make artificial intelligence (AI) systems safe and aligned with human values is an open research question. Proposed solutions tend toward relying on human intervention in uncertain situations, learning human values and intentions through training or observation, providing off-switches, implementing isolation or simulation environments, or extrapolating what people would want if they had more knowledge and more time to think. Law-based approaches--such as inspired by Isaac Asimov--have not been well regarded. This paper makes a case that effective legal systems are the best way to address AI safety. Law is defined as any rules that codify prohibitions and prescriptions applicable to particular agents in specified domains/contexts and includes processes for enacting, managing, enforcing, and litigating such rules.
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Taxonomy
TopicsEthics and Social Impacts of AI · Artificial Intelligence in Law