{"id":20829,"date":"2019-07-19T10:57:34","date_gmt":"2019-07-19T14:57:34","guid":{"rendered":"https:\/\/www.ccpa-accp.ca\/?p=20829"},"modified":"2019-07-19T10:57:34","modified_gmt":"2019-07-19T14:57:34","slug":"artificial-general-intelligence-and-its-impact-on-jobs","status":"publish","type":"post","link":"https:\/\/www.ccpa-accp.ca\/fr\/artificial-general-intelligence-and-its-impact-on-jobs\/","title":{"rendered":"Artificial General Intelligence and its Impact on Jobs"},"content":{"rendered":"

Artificial Intelligence (AI) is typically divided into Artificial Narrow Intelligence (ANI) and Artificial General Intelligence (AGI). In our last blog, we dealt with ANI and its implications in the workplace. In this blog we will deal with AGI.<\/p>\n

AGI focuses on developing and using deep artificial neural networks (a set of computer algorithms) to process massive amounts of data in a relatively short time. \u201cDeep\u201d refers to the number of layers of computer algorithms, which permit the computer to form connections between these layers. Because of these connections, computers are essentially able to program themselves after multiple trials of processing different sets of similar data. Once the accuracy and efficiency of the model is determined by humans, it becomes available to those who want competent analyses of information pertinent to operating their business and\/or performing their occupation.<\/p>\n

Predictions are that many new jobs will be created as the field of AGI develops. To illustrate these predictions, presently six different individuals are typically deployed when using deep learning methods to develop new computer models. The decision-maker<\/em> secures funding and resources to complete the project. The stakeholder<\/em> quantifies the business value of a proposed solution. The domain expert<\/em> gets familiar with the work area and problem to be solved. The data scientist<\/em> translates business problems into computer tasks. The data engineer<\/em> determines possible databases to use in simulation; and a systems architect<\/em> designs the infrastructure, such as servers to handle big data. Within a relatively short time, the number of individuals and specializations needed to develop computer models will increase and result in jobs with new specialized tasks.<\/p>\n

The impact of AI on the workplace is anticipated to be swift and impactful. A report from the World Economic Form in 2018 projected that these computer programs are expected to create 133 million new jobs by 2022; however, 75 million jobs are likely be displaced. This leaves a net new jobs creation of 58 million due to growth in AI.\u00a0 An RBC report suggests that Canada will add 2.4 million new jobs to the workplace in the next four years. However, it also suggests that the current generation of young people are not being prepared for these sweeping changes. Workers will need digital skills, that is, the ability to understand digital items, digital technologies and the Internet fluently.\u00a0 They will also need human skills such as critical thinking, active listening, social perceptiveness, and complex problem-solving skills for job success.<\/p>\n

Career counsellors face three immediate challenges: disseminating labour market information, counselling workers who are displaced, and helping existing workers find retraining or upskilling programs. Part of this challenge is the speed at which these predictions are coming true.\u00a0 Career counsellors and their professional organizations will need to produce materials to provide clients with significant labour market information related to displacement and innovations in the workplace.\u00a0 Individuals who lose their jobs often experience low self-esteem, depression, and lack of self-confidence. As well, prolonged periods of unemployment can lead to suicide ideation (Milner, Page & LaMontagne, 2013). Counsellors will need to deal with these issues before they help their clients make workforce changes. Counsellors will need upskilling themselves to understand the tasks being performed in these new jobs, and to assess their clients\u2019 current transferable skills for the new jobs. They need knowledge of available educational programs that offer uptraining. Further, career counsellors need to be familiar with government support programs that can help their clients make workplace transitions.<\/p>\n

Despite these dire predictions, we suggest it will be more \u201cyellow light\u201d than red or green. Many Canadian employers are small to midsize businesses and may not have the capital to adopt these AI technologies presently. To deal with these rapidly developing workplace needs, we think there will be local, provincial and national responses, a part of which will provide agencies with the needed help to deliver services.<\/p>\n

Suggested Reading<\/p>\n

A beginner\u2019s guide to automated machine learning & AI<\/em>. Retrieved May 27 at https:\/\/skymind.ai\/wiki\/automl-automated-machine-learning-ai<\/a>.<\/p>\n

Chowdhry, Amit. (2018). Artificial intelligence to create 58 million new jobs by 2022, says report. <\/em>Retrieved May 27 at https:\/\/www.forbes.com\/sites\/amitchowdhry\/2018\/09\/18\/artificial-intelligence-to-create-58-million-new-jobs-by-2022-says-report\/#14a40f204d4b<\/a>.<\/p>\n

Human intelligence and intuition critical for young people and jobs of the future<\/em>. Retrieved May 27 at<\/em> http:\/\/www.rbc.com\/newsroom\/news\/2018\/20180326-future-skills-rpt.html<\/a><\/p>\n

Milner, A., Page, A., & LaMontagne, A. D. (2013). Long-term unemployment and suicide: a systematic review and meta-analysis.\u00a0PloS one<\/em>,\u00a08<\/em>(1), e51333.<\/p>\n

Jeff Landine and John Stewart
\nFaculty of Education, University of New Brunswick, Fredericton, N.B.<\/h5>\n","protected":false},"excerpt":{"rendered":"

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