Source: AI Foundation

AI Foundation examines different legal liability models—strict liability and fault-based approaches—in the context of regulating artificial intelligence in developing countries. The article discusses the suitability of these frameworks to balance innovation promotion with effective risk management.

It highlights challenges faced by emerging economies in establishing AI governance structures amid limited regulatory resources. The piece advocates for tailored liability regimes that protect consumers while not stifling technological advancement. It also considers ethical implications and the need for international cooperation and knowledge sharing to develop robust AI legal systems. The article suggests that hybrid approaches may offer pragmatic solutions for developing contexts.