CYAIHCGNApr 6, 2021

Future of work: ethics

arXiv:2104.02580v12 citations
Originality Synthesis-oriented
AI Analysis

This addresses ethical concerns in AI-driven work automation for policymakers and technologists, but it is incremental as it builds on existing ethical frameworks without new empirical results.

The paper examines the ethical implications of AI and digitalization on the future of work, highlighting risks like job loss and negative societal impacts, and proposes designing technology to enhance human skills and align with sustainable development goals.

Work must be reshaped in the upcoming new era characterized by new challenges and the presence of new technologies and computational tools. Over-automation seems to be the driver of the digitalization process. Substitution is the paradigm leading Artificial Intelligence and robotics development against human cognition. Digital technology should be designed to enhance human skills and make more productive use of human cognition and capacities. Digital technology is characterized also by scalability because of its easy and inexpensive deployment. Thus, automation can lead to the absence of jobs and scalable negative impact in human development and the performance of business. A look at digitalization from the lens of Sustainable Development Goals can tell us how digitalization impact in different sectors and areas considering society as a complex interconnected system. Here, reflections on how AI and Data impact future of work and sustainable development are provided grounded on an ethical core that comprises human-level principles and also systemic principles.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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