Increasing AI adoption rates in the UK legal and high-value services sectors through use of AI microservices and behavioural change science

**愿景**人工智能技术有可能显著提高英国高价值服务业的生产率。然而，目前顶级律师事务所客户参与的申请率低于1%[1]。该项目承认，人工智能模型可以实现良好的技术性能，但采用主要受到组织和行为因素的阻碍。该项目利用“人工智能微服务”的新架构来解决组织因素，并应用行为改变科学，特别是自我决定理论来解决行为因素。**人工智能微服务**现有的特定行业的人工智能公司服务于市场，提供广泛的数据识别、审查或提取能力。这要求律师事务所承担(1)确定合适的应用程序、(2)配置软件、(3)培训模型、(4)培训用户和(5)管理产品输出的重大组织成本。未能证明这些成本是合理的，导致采用率很低。该项目转而采用了一种新颖的方法，即提供被称为“人工智能微服务”的高度具体和预先训练的模型，这些模型内置于该部门使用的现有工作流程软件中。**行为改变**从业者在采用基于人工智能的新技术时持谨慎态度。从业者中存在一种规避风险的文化，这是因为他们的工作具有高价值，他们接受了避免风险的培训，他们对自己的工作承担了个人责任。这进一步限制了人工智能技术的采用。这个项目使用行为变化科学来设计软件，该软件结合了自我决定理论的原则来解决这些“人类”和文化问题。**目标**该项目旨在构建六项人工智能微服务，并将其整合到项目合作伙伴的高价值法律实践中，并衡量由此产生的技术的可接受性。该项目首先在法律部门内应用，以受益于该财团的部门专门知识，并降低遏制的复杂性和成本。该项目随后将向公众传播保险和会计部门的经验。**创新**这个项目独一无二的创新之处在于，它使人工智能技术适应高价值服务部门的组织和行为环境。我们相信，与要求组织承担高昂的实施成本和未能解决从业者的行为心理相比，这种方法的采用率将会提高。[1]法律市场研究。

**Vision**AI technologies have the potential to significantly increase the productivity of the UK high-value services sector. However, current application rates to client engagements within top-tier legal practice are below 1%\[1\]. This project recognises that AI models can achieve good technical performance but that adoption is primarily held back by organisational and behavioural factors. The project addresses the organisational factors using a new architecture of 'AI microservices' and the behavioural factors with the application of behavioural change science, specifically Self-Determination Theory. **AI microservices**Existing sector-specific AI companies serve the market with products that provide broad data identification, reviewing or extraction capabilities. This requires law firms to bear the significant organisational costs of (1) identifying suitable applications, (2) configuring the software, (3) training the model, (4) training the users, and (5) managing the product output. Failure to justify these costs has resulted in low adoption rates. This project instead takes the novel approach of providing highly specific and pre-trained models, termed "AI microservices", which are built into existing workflow software used by the sector. **Behaviour change**Practitioners are cautious when adopting new AI-based technology. A culture of risk-aversion exists amongst practitioners as a result of the high-value nature of their work, their training in avoidance of risk and their taking of personal responsibility for their work. This has served to further limit adoption of AI technologies. This project uses behavioural change science to design software that incorporates principles of Self-Determination Theory to address these 'human' and cultural issues. **Objectives**The project aims to build and integrate six AI microservices into the high-value legal practices of the project partners and measure the adoptability of the resulting technology. The project starts with application within the legal sector to benefit from the consortium's sector specific knowledge and reduce contain complexity and costs. The project will subsequently result in public dissemination of learnings for the insurance and accountancy sectors. **Innovation**This project is uniquely innovative in that it adapts AI technology to the organisational and behavioural circumstances of the high-value service sector. We believe this approach will see increased adoption rates in comparison to asking organisations to bear high implementation costs and failing to address the behavioural psychology of practitioners. \[1\] Legatics market research.