Washington, DC, USA.
New Solut. 2025 May 23:10482911251337448. doi: 10.1177/10482911251337448.
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.
人工智能(AI)的进步引发了与公平、隐私和信任相关的伦理问题。虽然人工智能可能会改善经济的某些方面,但它带来的好处将是不均衡的,预计美国超过一半的工作岗位将在未来15年内实现部分自动化。随着人工智能改变工作任务,各级工人都可能面临颠覆性变化和经济困难。人工智能可以带来积极的变化,但必须构建相应系统,以负责任地利用这项技术并公平地分享其好处。工人、他们的倡导者和代表以及社区成员应参与工作场所人工智能的开发和实施。需要有考虑公平、保护弱势群体和公正结果的指导方针。由于使用人工智能存在挑战,各组织可能会欢迎这些建议。本政策声明推荐了四种在工作场所实施人工智能的关键方法。第一,需要进行更多研究以确定和监测人工智能的影响。第二,应创建培训项目,帮助那些因工作被人工智能替代而失业的人,支持未来人工智能领域的多元化领导者,并帮助人们适应人工智能。第三,在技术公平方面具有专业知识的学术、劳工和社区组织应与人工智能开发者合作,提供实用工具,了解其影响并创造公平的结果。最后,应制定促进人工智能可及性和包容性的项目,并且应对针对工人的人工智能应用进行持续监测。