King's Algorithm for Acceptance Likelihood Identification(KAALI)

国王接受似然识别算法（KAALI）

• 批准号: 2745323
• 金额: --
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2745323
• 关键词: King; Algorithm; Acceptance; Likelihood; Identification

Individuals with mental illness (MI) experience unjust treatment in the labour market. Tackling this trend calls fora detailed understanding of mechanisms influencing hiring decisions and career trajectories, translating these findings into fruitful interventions for ensuring optimal, fair allocation of talent, and developments of methods for preventing wasted applications. Playing a centre role in the age of digital recruitment is the use of Artificial Intelligence(AI) and Machine Learning (ML). Of interest for this project is the application of AI for job recommendations. We want to build a tool providing predictions for people with MI based on information regarding individual diagnosis, education, career path and demographics. We plan to demonstrate how algorithms can be used to predict application and career outcomes for job seekers with mental health disorders. The job recommendation system which will be created as a core outcome of this PhD will actively make job application decisions easier for potential candidates and give advice to job seekers on their chances and potential to thrive at an organisation or in a specific position. When fully developed, we will be able to limit time of job seeking for people with MI, and therefore actively play a part in early intervention, as well as management of their condition. This would not only allow millions of patients to alleviate suffering but save the UK government substantial amounts of money.

患有精神疾病的人在劳动力市场上受到不公正的待遇。应对这一趋势需要详细了解影响招聘决策和职业轨迹的机制，将这些发现转化为富有成效的干预措施，以确保人才的最佳、公平分配，并开发防止浪费申请的方法。在数字招聘时代发挥核心作用的是人工智能（AI）和机器学习（ML）的使用。该项目的兴趣是应用AI进行工作推荐。我们希望建立一个工具，根据个人诊断，教育，职业道路和人口统计学信息为MI患者提供预测。我们计划展示如何使用算法来预测患有心理健康疾病的求职者的应用和职业结果。将作为该博士学位的核心成果创建的职位推荐系统将积极使潜在候选人更容易做出求职决定，并为求职者提供有关他们在组织或特定职位上茁壮成长的机会和潜力的建议。当发展成熟后，我们将能够限制MI患者寻找工作的时间，从而积极参与早期干预和管理他们的病情。这不仅可以减轻数百万患者的痛苦，还可以为英国政府节省大量资金。