2022/06/01 by Eamon Duede · 2 voices · 5 citations
Computer Science · Arts and Humanities · Social Sciences · #Explainable Artificial Intelligence (XAI) #Philosophy and History of Science #Ethics and Social Impacts of AI
paper · pdf · doi:10.1017/psa.2023.8
Abstract While philosophers have focused on epistemological and ethical challenges of using artificial intelligence (AI) in science, scientists have focused largely on opportunities. I argue that this disconnect between philosophical pessimism and scientific optimism is driven by failures to critically examine the practice of AI-infused science. To appreciate the epistemic justification for AI-powered breakthroughs, philosophers must analyze the role of AI as part of a wider process of discovery. I demonstrate the importance of this with two cases from the scientific literature, and show that epistemic opacity need not diminish AI’s capacity to lead scientists to significant and justifiable breakthroughs.