{"id":8734,"date":"2016-12-07T17:37:43","date_gmt":"2016-12-08T01:37:43","guid":{"rendered":"http:\/\/pocketwisdominsights.com\/pwicolab\/?p=8734"},"modified":"2019-02-18T20:57:02","modified_gmt":"2019-02-19T04:57:02","slug":"ai-and-hr","status":"publish","type":"post","link":"https:\/\/pocketwisdominsights.com\/pwicolab\/technology\/technology-co-lab\/technology-co-lab-blogs\/pwi-co-lab-staff\/ai-and-hr\/","title":{"rendered":"Artificial Intelligence and Human Resources"},"content":{"rendered":"

Opening Insights<\/h2>\n

Technology has already made huge inroads into sectors such as manufacturing. Companies in this industry, along with retail and transport firms, are the most likely to be keeping an eye on where advances in technology might take them. But many in other sectors have yet to escalate this to the very top of their watch-lists.<\/p>\n

The problem, says Geoff Colvin, author of Humans Are Underrated: What High Achievers Know That Brilliant Machines Never Will<\/i>, is confusion at board level around what kind of impact futuristic capabilities will actually have on them. \u201cI think most boards are not considering this sufficiently because it may seem too abstract a problem to them right now,\u201d he says. \u201cThey know it\u2019s possible but haven\u2019t seen it affect their business.\u201d Not yet, at any rate.<\/p>\n

\u201cWhat you see now is a distance between what the economists are saying and what organisations are currently experiencing or expect to experience,\u201d agrees Lynda Gratton, professor of management practice at London Business School. \u201cBeyond the obvious, people struggle to answer the question of \u2018where do you see big job losses in terms of automation?\u2019 We know from economists that jobs are going, but we\u2019re not actually seeing it.\u201d<\/p>\n

The picture Gratton paints is one not just of failure to keep up to speed with emerging technologies, but to consider what this will mean for the human element of business. 1<\/a><\/sup><\/p><\/blockquote>\n

Informational Insights<\/h2>\n

In 2013 a\u00a0study by Michael Osborne and Carl Frey from Oxford University\u2019s Martin School identified\u00a0720 occupations that were at-risk due to automation, based on nine key skills. \u00a0The study found that Human Resource (HR) administrative jobs had a 90% chance of being automated by 2035, but HR managers, directors and officers were far less likely to be replaced by robots in the next 20 years.2<\/a><\/sup><\/em><\/p>\n

I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.<\/em>
\n-Alan Turing<\/p>\n