Technology Identification and Training Core

技术鉴定和培训核心的目标是发展人工翻译科学， 智能（AI）通过开发识别和阐明老年人需求的过程 和他们的家庭照顾者，将这些需求与人工智能技术的有前途的领域联系起来， 将这些机会细化为可以转化为实践的有形产品。技术 识别和训练核心在语言框架中起着两个关键作用：（1）它是形成语言框架的内在机制 有前途的技术机会，反过来又推动了试点的征集和资助，以及（2）它 传播在这一过程中发展起来的知识和机制，以提高对以下方面的认识： 人工智能创新的机会，通过以下方式满足老年人及其家庭照顾者的需求 研究和教育计划。技术鉴定和培训核心的具体目标是： 召集人工智能和老龄化研究方面的专家，制定和应用一个知情的人工智能 准备框架（AIRF），以确定有前途的技术方向，以支持老年人的 照顾者的需要。与利益攸关方参与核心组织合作，并在参与性 人体工程学方法。我们将通过召集利益攸关方和制定知情的 概述老年人和护理人员技术需求的关键领域的概念框架， 支持最佳福祉和复原力。我们还将对Al进行结构化识别和评估 2）创建面对面和在线培训工具， 利用和扩展我们对人工智能实施科学的知识，以及3）开发和部署 描述人工智能翻译科学的教学工具（所有针对老年人和 更广泛地使用和传播相关的最佳做法。成功完成这些目标将提供 在知情者知情原则的基础上开展工作，并为不断更新的需求建立一个平台 评估和技术准备评估工具，将支持一个国家计划， 满足老年人及其家庭照顾者的需求。目前的提案将解决和填补关键 知识差距，并直接让利益攸关方参与共同设计工作。跨学科研究团队是 准备完成具体目标，从而确定老年人与福祉有关的需求 和复原力，从多个角度描述老年人安全风险的特征，以及完善 这一过程将使医疗保健系统和工程师能够识别和设计技术，以解决老年人 成人和照顾者的需要。在这样做时，目前的建议直接促进技术发展， 让老年人茁壮成长。

The goal of the Technology Identification and Training Core is to develop a Science of Translation of Artificial Intelligence (Al) for Older Adults by developing processes that identify and articulate the needs of older adults and their family caregivers, connect those needs to promising areas of Al technology, and accelerate the refinement of these opportunities into tangible products than can be translated into practice. The Technology Identification and Training Core plays two key roles: (1) it is the internal mechanism that that shapes the framing of promising technology opportunities that, in turn, drive the solicitation and funding of pilots, and (2) it disseminates the knowledge and mechanisms developed throughout this process to increase the awareness of the opportunities for Al innovation addressing the needs of older adults and their family caregivers through research and education programs. The specific aims of the Technology Identification and Training Core are 1) To convene experts in Al and in Aging Research to develop and apply a stakeholder-informed Al Readiness Framework {AIRF) to identify promising technology directions to support older adults' and caregivers' needs. In collaboration with the Stakeholder Engagement Core, and guided by a participatory ergonomics approach. We will achieve this aim by convening stakeholders and by developing stakeholder-informed conceptual frameworks outlining key domains of older adults' and caregivers' technology needs to support optimal well-being and resilience. We will also conduct structured identification and assessments of Al suitability and maturity to meet the needs identified, 2) To create in-person and on line training tools that both exploit and expand our knowledge of the Implementation Science for Al, and 3) to develop and deploy instructional tools that describe Science of Translation of Artificial Intelligence {All for Older Adults and related best practices for wider use and dissemination. Successful completion of these aims will provide a process for building on stakeholder-informed principles and develop a platform for continuously updated needs assessment and technology readiness assessment instruments that will support a national program to tailor Al to address the needs of older adults and their family caregivers. The current proposal will address and fill key knowledge gaps and directly engage stakeholders in co-design efforts. The transdisciplinary research team is poised to complete the specific aims that will result in identification of older adults' needs related to wellbeing and resilience, characterization of risks to older adult safety from multiple perspectives, and the refinement of a process that will enable healthcare systems and engineers to identify and design technology to address older adults' and caregivers' needs. In doing so, the current proposal directly facilitates technology development to allow older adults to thrive.