Equitably Applying Artificial Intelligence in the United States Workforce Using Training and Collaboration.

Abstract

Advances in artificial intelligence (AI) have raised ethical concerns related to fairness, privacy, and trust. While AI may improve elements of the economy, its benefits will be unevenly experienced with more than half of jobs in the United States expected to become partially automated in the next 15 years. Workers at all levels could face disruptive changes and financial hardship as AI transforms work tasks. AI can bring about positive change, but systems must be built to utilize this technology responsibly and share the benefits equitably. Workers, their advocates and representatives, and members of the community should be included in the development and implementation of AI in the workplace. Guidance that considers equity, protection of vulnerable populations, and just outcomes is needed. Organizations may welcome these recommendations due to the challenges of using AI. This policy statement recommends four key approaches for implementing AI that focus on the workplace. First, more research is needed to determine and monitor the impact of AI. Second, training programs should be created to help those losing jobs to augmentation, support diverse leaders for the future of AI, and help people adapt to AI. Third, academic, labor, and community organizations with expertise in technology equity should engage with AI developers to offer practical tools, understand implications, and create equitable outcomes. Finally, programs that promote accessibility and inclusivity in AI should be developed, and there should be oingoing monitoring of AI applications for workers.