FW-HTF-P: Impact of AI Robotics on Labor (AIRL)

该奖项将资助哈佛人工智能机器人劳工（AIRL）项目的努力。该团队将研究人工智能和机器人技术的进展，这些进展可能会影响未来的工作场所，从而影响美国工人的就业和工资。它将评估机器人和人工智能方面的最新技术进步对当前工人及其在工作中执行的具体任务的影响程度。由于人工智能和机器人在某些活动中比其他活动更具成本效益，因此研究人员将重点关注仔细定义的职业类别中的特定工作任务。目标是确定哪些任务将是未来工作的关键，以及人类需要哪些技能才能成功完成这些任务。该项目的研究结果将有助于学校和职业顾问告知学生和求职者各种工作的前景，并为寻求在全球经济中提高美国工人福利的个人、公司和政策制定者提供信息。该项目汇集了一个独特的专家团队来评估未来的工作。该项目包括将开发新技术的工程和计算机科学专家与研究企业如何在技术变化时实施技术和改变工作任务的经济学、社会学、心理学和商业专家聚集在一起。过去的技术总是在创造新的工作岗位的同时也改变了旧的工作岗位，因此，调查人员将研究那些投资于新型机器人或最新工作相关算法的前沿公司是如何在不同的职业之间重组工作任务的，以及与不同类型的工作相关的薪酬和福利。它将决定工人在新工作中可能需要的技能和知识，以及继续在现有职业中工作。最后，由于新技术不是突然出现的，而是由工程师和计算机科学家开发的，并且受到技术的商业和政府用户的影响，因此调查人员将分析选择数字化或开发机器人承担哪些任务背后的因素，以及将这些选择推向工人友好方向的潜力。该项目的最终目标是发展必要的研究人员、研究基础设施和基础工作，以扩大在FW-HTF全面研究计划的水平上研究未来技术、未来工人和未来工作的机会。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This award will fund efforts by the Harvard AI Robotics Labor (AIRL) project. The team will research advances in artificial intelligence and robotics that are likely to impact the workplace of the future and thus the employment and wages of American workers. It will assess the extent to which recent technological advances in robots and artificial intelligence are affecting current workers and the specific tasks they perform on the job. Since AI and robots are more cost effective substitutes for workers in some activities compared to others, the investigators will focus on specific work tasks in carefully defined occupational categories. The goal is to determine what tasks will be key to future jobs and what skills humans will need to succeed in those tasks. The findings of the project should help school and career counselors inform students and job seekers about the prospects in various jobs and to provide information to individuals, firms, and policymakers who seek to advance the well-being of American workers in the global economy.The project brings together a unique team of experts to assess the future of work. The project includes efforts to bring together the engineering and computer science experts who develop new technologies with the economics, sociology, psychology and business experts who study how firms implement technologies and change work tasks when technology changes. Past technologies have invariably created new jobs as well as altered older jobs, so the investigators will study how leading edge firms that have invested in new robots or in the latest work-related algorithms are reorganizing their work tasks among occupations, and the pay and benefits associated with different types of work. It will determine the skills and knowledge that workers will likely need in the new jobs as well as to continue working in existing occupations. Finally, since new technologies do not come out of the blue but are developed by engineers and computer scientists, and are influenced by business and government users of the technologies, the investigators will analyze the factors behind the choices of which tasks to digitalize or to develop robots to undertake, and the potential for moving those choices in worker-friendly directions. The ultimate goal of this project is to develop the necessary research personnel, research infrastructure, and foundational work to expand the opportunities for studying future technology, future workers, and future work at the level of a FW-HTF full research proposal.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.