Position: AI Safety should prioritize the Future of Work

Authors: Sanchaita Hazra, Bodhisattwa Prasad Majumder, Tuhin Chakrabarty

ICML 2025 | Venue PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical 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.
Researcher Affiliation Collaboration 1University of Utah 2Allen Institute for AI 3Stony Brook University & Salesforce AI Research.
Pseudocode No The paper is a position paper that discusses concepts and makes recommendations based on existing theories. It does not include any structured pseudocode or algorithm blocks.
Open Source Code No The paper is a position paper and does not describe a specific methodology or implementation for which source code would be released. There is no explicit statement about releasing code.
Open Datasets No The paper discusses various datasets (e.g., 'Books3', 'Lib Gen dataset') that have been used by AI models or mentioned in other research, but it does not utilize or provide access information for its own datasets used in experiments. It does not present new empirical studies with data analysis.
Dataset Splits No The paper does not conduct experiments or use specific datasets that would require reporting training/test/validation splits. It is a position paper discussing socio-economic impacts.
Hardware Specification No The paper does not describe any experiments or computational work that would require specific hardware specifications. It is a position paper focusing on conceptual arguments and recommendations.
Software Dependencies No The paper does not present any experimental results or software implementations that would require listing specific software dependencies with version numbers. It is a position paper.
Experiment Setup No The paper is a position paper and does not involve experimental work, thus there are no details regarding experimental setup, hyperparameters, or training configurations.