When it comes to the future of intelligent robots, the first question people ask is often: how many jobs will they make disappear? Whatever the answer, the second question is likely to be: how can I make sure that my job is not among them? In a study just published in Science Robotics, a team of roboticists from EPFL and economists from the University of Lausanne offers answers to both questions. By combining the scientific and technical literature on robotic abilities with employment and wage statistics, they have developed a method to calculate which of the currently existing jobs are more at risk of being performed by machines in the near future. Additionally, they have devised a method for suggesting career transitions to jobs that are less at risk and require smallest retraining efforts.

In a study just published in Science Robotics, a team of roboticists from EPFL and economists from the University of Lausanne offers answers to both questions. By combining the scientific and technical literature on robotic abilities with employment and wage statistics, they have developed a method to calculate which of the currently existing jobs are more at risk of being performed by machines in the near future. Additionally, they have devised a method for suggesting career transitions to jobs that are less at risk and require smallest retraining efforts. "There are several studies predicting how many jobs will be automated by robots, but they all focus on software robots, such as speech and image recognition, financial robo-advisers, chatbots, and so forth. Furthermore, those predictions wildly oscillate depending on how job requirements and software abilities are assessed. Here, we consider not only artificial intelligence software, but also real intelligent robots that perform physical work and we developed a method for a systematic comparison of human and robotic abilities used in hundreds of jobs," says Prof. Dario Floreano, Director of EPFL's Laboratory of Intelligent System, who led the study at EPFL.

The typical Australian will change careers five to seven times during their professional lifetime, by some estimates. And this is likely to increase as new technologies automate labor, production is moved abroad, and economic crises unfold. Jobs disappearing is not a new phenomenon--have you seen an elevator operator recently? New technologies also create new jobs, but the skills they require do not always match the old jobs. Successfully moving between jobs requires making the most of your current skills and acquiring new ones, but these transitions can falter if the gap between old and new skills is too large.

The potential value added of artificial intelligence (AI) to businesses is undisputed, yet research confirms that most companies still struggle to capitalize on the technology. In a recent panel hosted by YPO member and Managing Director of Techstars Vijay Tirathrai and Jean-Philippe Linteau, Consul General of Canada in Dubai and the Northern Emirates, industry leaders from Canada and the Middle East shared insights on how organizations can leverage AI while mitigating risks. According to the International Data Corporation's latest release, worldwide revenues for the AI market are forecast to grow 16.4% year-over-year, reaching USD554.3 billion by 2024. Along with the U.S. and China, Canada is positioned to gain the most from this growth. "Canada has a thriving AI ecosystem, with world-leading research centers that have evolved into major hubs of AI, including Canada's supercluster project in Montreal, Scale AI," says Linteau. "Canada is now home to more than 800 AI companies, including more than 45 global tech multinationals, more than 60 investment groups, and 40-plus accelerators and incubators that focus on AI."

As the world of emerging technologies such as big data, robotics, disruptive tech and Internet of Things is quickly becoming part of our everyday lives, Artificial intelligence will continue to play a fundamental contributor to the future of these innovative technologies. With this in mind, AI is already impacting the long term future of virtually every industry and this will certainly have an impact on the legal profession however, it will also create opportunity too. With all Technologies regardless of its purpose, human brainpower will play a fundamental part in its creation from R&D to deploying artificial intelligence. Over the past 5yrs, I've constantly advised my junior lawyers to focus on in-house roles with a focus on software, algorithms, Data Cloud (SaaS, PaaS, IaaS) and FinTech as it'd the future and we're certainly very dependent on it even more than ever during this pandemic. Regardless of our current dependency, once we all return to normality, we have now become accustomed to using and embracing technology so that won't change.

This month we have gathered tweets about some interesting talks, reads, and tutorials relating to AI. As artificial intelligence becomes integrated into daily life, #AI literacy becomes vital. In this @TEDTalks, PhD student and science communicator, @JordanBHarrod, explains how a basic understanding of AI has become a necessary part of everyday life. JAMA Fishbein Fellow, @angeldesaimd, speaks with scientist and entrepreneur Gary Marcus, PhD, about the potential of artificial intelligence in health care and the current #coronavirus #pandemic https://t.co/01GyRbrrOY "We need to measure the well-being impact of COVID-19, and we need to think about scalable mental health care. Now is the time to mobilize resources to make that happen."

This International Women's Day, we have a treat for our Women viewers; A special career advice video that will pave the path for your career transitions into Data Science, AI, Machine Learning and Data Analytics. In this video, our star women mentors from Swiggy, G2 and AIFonic Labs explain how young technology professionals can make successful career transitions into Data Science, AI/ML and Data Analytics while explaining their own inspiring career transition journeys into emerging technologies. They also share what opportunities are available, especially for women, in AI, Machine Learning, Data Science and Analytics fields. Listen to them giving anecdote-led tips on how to crack the hot data job roles along with career advice for making the career transition of your dreams. Subscribe to our channel to get updates on the latest videos.

Springboard is now in INDIA! We are offering our mentor-led career track courses in Data Science, Data analytics and AI/ML in India. At Springboard, all our courses come with 1:1 mentorship and a job guarantee. In the last 6 years, we have served over 10,000 learners across 100 countries. In this video, you will get to learn about who we are and how our human touch led mentoring and job guarantee differentiates us from the rest from Prashant Sharma, Springboard India's Head of Growth.

Springboard is now in INDIA! We are offering our mentor-led career track courses in Data Science, Data analytics and AI/ML in India. At Springboard, all our courses come with 1:1 mentorship and a job guarantee. In the last 6 years, we have served over 10,000 learners across 100 countries. In this video, you will get to learn about who we are and how our human touch led mentoring and job guarantee differentiates us from the rest from Prashant Sharma, Springboard India's Head of Growth.

Good advice on how NOT to be an academic when you finish your PhD is pretty thin on the ground. Many supervisors have never done anything else, and/or are not well enough connected with industry to know what is'hot'. Careers centres at universities tend to shape their offerings around the huge undergraduate cohort, who have very different needs. If you want to leave academia at the end of you PhD it's likely you will face some kind of career transition. While we train astrophysicists, we don't have any astrophysics companies in Australia.