{"id":3313,"date":"2022-08-03T10:37:43","date_gmt":"2022-08-03T09:37:43","guid":{"rendered":"https:\/\/blogs.kent.ac.uk\/unikentcomp-news\/?p=3313"},"modified":"2022-08-03T10:37:43","modified_gmt":"2022-08-03T09:37:43","slug":"hr-go-and-university-of-kent-gets-go-ahead-from-innovate-uk-to-investigate-full-potential-of-ai-and-machine-learning-to-revolutionise-uk-recruitment","status":"publish","type":"post","link":"https:\/\/blogs.kent.ac.uk\/unikentcomp-news\/2022\/08\/03\/hr-go-and-university-of-kent-gets-go-ahead-from-innovate-uk-to-investigate-full-potential-of-ai-and-machine-learning-to-revolutionise-uk-recruitment\/","title":{"rendered":"HR GO and University of Kent gets go ahead from Innovate UK to investigate full potential of AI and machine learning to revolutionise UK recruitment."},"content":{"rendered":"

HR GO, one of the UK\u2019s leading recruitment companies, and the University of Kent have been successful in a joint application for a knowledge transfer partnership (KTP) from Innovate UK, the UK\u2019s innovation agency.<\/span>\u00a0<\/span><\/p>\n

The award for<\/span> \u00a393,177 <\/span>will <\/span>provide half the cost of<\/span> a two-year research project exploring how technology can better match roles with clients, including improving the feedback job seekers receive.<\/span>\u00a0<\/span>HR GO will match fund the grant, resulting in a total project budget of \u00a3186,350.<\/span> \u00a0<\/span><\/p>\n

KTPs aim to help businesses to improve their competitiveness and productivity through the better use of knowledge, <\/span>technology<\/span> and skills within the UK knowledge base.\u00a0<\/span>\u00a0<\/span><\/p>\n

John Parkinson, Chief Information Officer, HR GO, said: \u201cWe are delighted to have been successful in our application to UKRI for a knowledge transfer partnership (KTP) with the University of Kent.<\/span>\u00a0<\/span><\/p>\n

\u201cThis project will develop innovative AI models and systems to deliver feedback, scoring and matching of candidates at scale. At present, we receive over 500,000 applications for work each year<\/span> for roles across all sectors, and across the whole of the UK.<\/span><\/p>\n

\u201cThese AI models will power a semi-automated <\/span>communications<\/span> process to deliver<\/span> enhanced feedback to candidates whilst helping HR GO\u2019s clients ensure they find the best possible candidates to meet their needs.<\/span>\u201d<\/span>\u00a0<\/span><\/p>\n

The project team is now in the process of hiring an associate, who will be delivering the project over the two years. In addition to being tasked with analysing millions of points of HR GO data, they will consider all aspects of machine learning and AI development, from ethics to avoiding bias.\u00a0<\/span>\u00a0<\/span><\/p>\n

Dr Anna <\/span>Jordanous<\/span>, senior lecturer at the University of Kent’s School of Computing and co-lead of the project said: \u201cThis is a fascinating opportunity to work with complex real-life data. There are multiple interesting technical challenges to tackle, and it is exciting to see how research knowledge can be applied to make a real difference to recruitment candidates and clients.\u201d<\/span>\u00a0<\/span><\/p>\n

HR GO has previously worked with Dr <\/span>Jordanous<\/span> to review potential machine learning solutions which could be deployed to automate contractor candidate role matching, as well as having sponsored the Kent HR Network and offered placements for students through the University of Kent\u2019s Employability Points Scheme.<\/span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

HR GO, one of the UK\u2019s leading recruitment companies, and the University of Kent have been successful in a joint application for a knowledge transfer … Read more<\/a><\/p>\n","protected":false},"author":74034,"featured_media":3314,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[112424,124,70],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.kent.ac.uk\/unikentcomp-news\/wp-json\/wp\/v2\/posts\/3313"}],"collection":[{"href":"https:\/\/blogs.kent.ac.uk\/unikentcomp-news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.kent.ac.uk\/unikentcomp-news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/unikentcomp-news\/wp-json\/wp\/v2\/users\/74034"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/unikentcomp-news\/wp-json\/wp\/v2\/comments?post=3313"}],"version-history":[{"count":1,"href":"https:\/\/blogs.kent.ac.uk\/unikentcomp-news\/wp-json\/wp\/v2\/posts\/3313\/revisions"}],"predecessor-version":[{"id":3315,"href":"https:\/\/blogs.kent.ac.uk\/unikentcomp-news\/wp-json\/wp\/v2\/posts\/3313\/revisions\/3315"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/unikentcomp-news\/wp-json\/wp\/v2\/media\/3314"}],"wp:attachment":[{"href":"https:\/\/blogs.kent.ac.uk\/unikentcomp-news\/wp-json\/wp\/v2\/media?parent=3313"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/unikentcomp-news\/wp-json\/wp\/v2\/categories?post=3313"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/unikentcomp-news\/wp-json\/wp\/v2\/tags?post=3313"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}