As artificial intelligence (AI) becomes increasingly integrated into various aspects of our lives, the need to re-examine accountability in AI-related litigations has become more pressing. The rapid development and deployment of AI systems have raised complex questions about responsibility, liability, and accountability.
Traditionally, accountability in AI-related litigations has focused on identifying a single entity or individual responsible for any harm caused by an AI system. However, this approach is no longer tenable, as AI systems often involve multiple stakeholders, including developers, deployers, and users.
The consequences of AI-related harm can be severe, ranging from physical injuries to emotional distress and financial losses. In some cases, AI systems have been implicated in fatal accidents, such as self-driving car crashes. In others, AI-powered chatbots have been used to spread misinformation and propaganda.
To address these concerns, there is a growing need to rethink accountability in AI-related litigations. This requires a more nuanced understanding of the complex relationships between AI systems, stakeholders, and the broader social context.
