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Position: AI Safety Should Prioritize the Future of Work

Economics

Position: AI Safety Should Prioritize the Future of Work

S. Hazra, B. P. Majumder, et al.

Current AI safety efforts often miss human-centric risks to livelihoods; this paper argues for comprehensive transition support toward meaningful labor, highlights AI-driven labor-market inequality and closed-source rent-seeking, and calls for international copyright reform and collective licensing to ensure fair compensation. Research was conducted by Authors present in <Authors> tag.... show more
Abstract
Current efforts in AI safety prioritize filtering harmful content, preventing manipulation of human behavior, and eliminating existential risks in cybersecurity or biosecurity. While pressing, this narrow focus overlooks critical human-centric considerations that shape the long-term trajectory of a society. In this position paper, we identify the risks of overlooking the impact of AI on the future of work and recommend comprehensive transition support towards the evolution of meaningful labor with human agency. Through the lens of economic theories, we highlight the intertemporal impacts of AI on human livelihood and the structural changes in labor markets that exacerbate income inequality. Additionally, the closed-source approach of major stakeholders in AI development resembles rent-seeking behavior through exploiting resources, breeding mediocrity in creative labor, and monopolizing innovation. To address this, we argue in favor of a robust international copyright anatomy supported by implementing collective licensing that ensures fair compensation mechanisms for using data to train AI models. We strongly recommend a pro-worker framework of global AI governance to enhance shared prosperity and economic justice while reducing technical debt.
Publisher
Proceedings of the 42nd International Conference on Machine Learning (ICML 2025), PMLR 267
Published On
Jul 11, 2025
Authors
Sanchaita Hazra, Bodhisattwa Prasad Majumder, Tuhin Chakrabarty
Tags
AI safety
future of work
income inequality
labor market transformation
closed-source rent-seeking
collective licensing
global AI governance
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