
In recent years, artificial intelligence (AI) has been advancing at an unprecedented rate, offering immense possibilities for innovation and transformation across various sectors. Yet amid this rapid progress, the accountability mechanisms that should ensure the trustworthiness of AI outputs are notably lacking. This discrepancy between development and accountability poses significant challenges, as AI systems may produce unverified results, potentially leading