Algorithmic Bias

Four Ethical Fault Lines When AI Enters Scientific Research

Artificial intelligence in scientific research presents four recurring ethical challenges: data privacy, algorithmic bias, transparency, and research integrity. The article translates these issues into practical research contexts and highlights the need for evolving oversight from Research Ethics Boards.