Taxing Artificial Intelligence (arxiv.org)

A new academic paper explores the emerging concept of taxing artificial intelligence (AI) to address its societal and environmental externalities. As AI technology accelerates, it brings significant benefits but also substantial costs to communities, labor markets, and regulatory systems. The paper outlines various taxation strategies, including corporate income taxes, consumption taxes on AI-related services, and excise taxes linked to specific AI activities. These tools aim to mitigate harmful impacts, redistribute economic gains, and enhance regulatory frameworks. The significance of this discussion for the AI/ML community lies in its call for nuanced, well-structured tax policies tailored to specific externalities generated by AI. The analysis identifies the potential benefits and challenges of implementing such tax instruments, considering issues like feasibility, measurement difficulties, and innovation costs. By framing AI taxation beyond just a Pigouvian corrective measure, the research highlights a proactive approach to managing the complex interplay between technology advancement and societal responsibility, making it crucial for policymakers and industry stakeholders to engage with these ideas as AI continues to evolve.