Artificial Intelligence Hazard

Artificial intelligence (AI) hazard management focuses on identifying and mitigating the risks associated with increasingly prevalent AI systems across various sectors. Current research emphasizes a holistic, socio-technical approach, moving beyond solely algorithmic considerations to encompass the entire system lifecycle, including contextual factors and stakeholder interactions. This necessitates developing frameworks for systematic hazard identification, assessment, and mitigation, drawing upon lessons from established system safety engineering. The ultimate goal is to ensure the safe and responsible deployment of AI, minimizing potential harm and maximizing societal benefits.