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A.I. and Robots in the Workplace

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A.I. and Robots in the Workplace

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Humans create robots and not robots create humans.
Humans create robots and not robots create humans.
AI and Robots in Workplace: This slide shares some of the spaces where robots are invading(replacing humans), possible job opportunities for the people who would be replaced, other that that what solutions could be for robots overtaking humans.

Humans create robots and not robots create humans.
Humans create robots and not robots create humans.
AI and Robots in Workplace: This slide shares some of the spaces where robots are invading(replacing humans), possible job opportunities for the people who would be replaced, other that that what solutions could be for robots overtaking humans.

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A.I. and Robots in the Workplace

  1. 1. A.I. and Robots in the Workplace By: Bryn Jones Jenny Ly Manpreet Singh Bedi Uday Ramchurter
  2. 2. Will Robots Take Your Job? Image from: https://willrobotstakemyjob.com/13 -1161-market-research-analysts- and-marketing-specialists
  3. 3. Will Robots Take Your Job? Image from: https://willrobotstakemyjob.com/15- 1132-software-developers- applications
  4. 4. Technology Predictions 19th Century predictions for the 21st - Automated cleaning technology - Ease of access in regards to knowledge - “Wireless” farming - Mechanical seahorses to ride underwater Images from: http://publicdomainreview.org/collections/france-in-the- year-2000-1899-1910/?utm_medium=google Vacuum Image From: https://commons.wikimedia.org/wiki/File:Робот_пылесос_Roomba_ 780.jpg
  5. 5. Technology Predictions (contd.) The Future by 2050 - Automated cars on the road - Nanobots will plug our brains straight into the cloud - Reincarnation of people through AI - Ocean thermal energy: 100% renewable energy. Image From: http://publicdomainreview.org/collections/france-in-the- year-2000-1899-1910/?utm_medium=google
  6. 6. History of Technology in the Workplace The First Industrial Revolution - Textiles - Cotton Gin - Firearms - Farming The Second Industrial Revolution - Age of steel, electric power, expansion of railroads and the automobile - Trains and businesses - Telegraph line - Light bulb Image from: https://en.wikipedia.org/wiki/File:Cotton_gin_EWM_2007.j pg
  7. 7. History of Technology in the Workplace (contd.) The Information Age - USBs, computers, data, communication, cell phones, where we are now. Image from: http://www.creativitypost.com/business/in_the_information_ age_you_cant_google_good_ideas
  8. 8. A.I. & Robots in our daily life - Social Networking - Eg Photo tagging on Facebook - Online Shopping - Recommendation of Products - Mobile Use - Eg Siri - Assignment Grading - Plagiarism Checkers - Search engine - Search Prediction
  9. 9. A.I. & Robots in our daily life - Email - Spam Filters - Smart Email Categorization (eg Gmail) - AutoPilot in Commercial Flight - Large reduction in Human pilot control of the aircraft - Medical Applications - Fast and accurate diagnostics - Magic Shelf - Used in Amazon warehouse
  10. 10. Jobs that will likely be replaced by AI and Machines - Cashier - Bookkeeping Clerks - Vehicle Drivers - Cars, Trucks - Delivery Service - May be replaced by drones soon - Receptionist - Use of automated call system - Computer Support Specialist - Chat Bots to answer the problems - Guide online For ex: Youtube - Construction workers - May be replaced by Robots in the near future Image From: https://www.flickr.com/photos/samchurchill/14586999783
  11. 11. Impact of Machines and AI on the Economy As Machines and Artificial Intelligence will reduce the workforce, the unemployment will rise. Causing different impact on the economy such as : - GDP ( Gross domestic Product ) will rise - Government expenditure on unemployment Benefits will rise - Prices may decrease Image From: https://www.technologyreview.com/s/515926/how- technology-is-destroying-jobs/
  12. 12. Drawbacks of AI and Machines - High Cost - To invest for small enterprises - Cannot be fully operated by Machines - Will still humans to operates the machines - No creativity - Can do only what they have been programed to do. - Cyber Attacks - EG. the Tesla car being stolen Image Scr: https://www.123rf.com/photo_74228032_stock- vector-funny-robot-and-businessman-arm- wrestling-fighting-artificial-intelligence-vs-human- competition-conc.html
  13. 13. Jobs Popping Out With Evolving Technology Few Sectors to take a look into: Education Sector Cyber Security Database Toys (yes! Toys) Construction Health Sector Image from: https://pixabay.com/en/technology-robot-human- hand-2025795/
  14. 14. Education Sector Kids need to be updated to the latest. What could be the future in this sector: Only robots teaching ? Only human teachers ? Or something in between ? Well this is a question whose answer, we will get to know after several years. Logo from: https://upload.wikimedia.org/wikipedia/commons/thumb/f/f1/Scratchlogo.svg/2000px-Scratchlogo.svg.png Program from: https://commons.wikimedia.org/wiki/File:Scratch_Hello_World.png
  15. 15. Cyber Security When machines will work they would need to communicate through the internet, and for a secure communication is needed the network security persons. This means more opportunity in the networking sector. Recall the “skynet” from “Terminator” ! You don’t want that to happen. Image from: https://pixabay.com/en/cyber-security- computer-security-1784985/
  16. 16. Database What and where in Database ? ● Database Designers ● Analysts ● Administrators ● Data Storage/Data Warehouse Database sheet image From: https://upload.wikimedia.org/wikipedia/en/7/78/DB-database-icon.png Physical Database sketch image From: https://pixabay.com/en/database-data- technology-1928236/
  17. 17. Toys Kids are the future engineers, doctors, architects, artists, and everything else future holds. Toys are also an option, thinking how ? MiP, Sphero, Cozmo, Buddy (you must check this out) MakeBlock, etc. Sphero Image From: https://c1.staticflickr.com/1/573/23182637964_60ac5f196e_b.jpg Cozmo Image From: https://i2.wp.com/gadgetynews.com/wp- content/uploads/2016/06/cozmo-robot.jpg MakeBlock Image From: http://www.edulibre.info/robotica-con-makeblock-mblock
  18. 18. Construction This industry has lot of job opportunities. Currently, robots are used along with humans to perform certain tasks, such as in metal welding, In this field mechanization is still under progress and needs improvement (in terms of cost effectiveness, size, durability), so also a good area to start looking into. Latest: Robots used for laying Bricks 3000 bricks in 8 hours (way more than a human bricklayer) Image From: http://houseofbots.com/news- detail/1989-1-this-construction-robot-is-set- to-set-change-the-construction-industry
  19. 19. Health Sector Good health is very important. New technique are being developed in this sector to cure new diseases, fightback new viruses. More ICT persons with knowledge of health industry are valuable. For Instance: ● Health care assistants ● Cancer treatment Robots Year 2018: “Crack the Brain’s Code” an event in Canberra. Image From: https://futurism.com/wp-content/uploads/2016/11/Bionic- Future-Exoskeletons-600x315.jpg
  20. 20. Possible Solutions There are a number of ways to address the issues that will arise from the increased use of automation. - UBI (Universal Basic Income) - Taxing automation - Training people to adapt
  21. 21. Universal Basic Income - A system in which all members of society are granted an equal amount of money by the government on a recurring basis. - Has potential to eradicate poverty, benefit art and science alike, and minimise the potential risks of automation. - Currently being tested in Finland, although on a small scale, focussing only on one use of Universal Basic Income. - Has views of high profile advocates like Mark Zuckerberg, Stephen Hawking(1942 - 2018), Elon Musk, and Bernie Sanders. Image Source: https://www.flickr.com/photos/148040463@N06/318765567 63
  22. 22. Taxing AI “Right now, if a human worker does, you know, $50,000 worth of work in a factory, that income is taxed. If a robot comes in to do the same thing, you’d think that we’d tax the robot at a similar level.” - Bill Gates, Microsoft Co-Founder. “Imagine where we would be today if policy makers, fearing the unknown, had feverishly taxed personal computer software to protect the typewriter industry, or slapped imposts on digital cameras to preserve jobs for darkroom technicians.” - David Kenny, Wired.com
  23. 23. Training People To Adapt - Lifelong Learning - Jumping from one career to the next - New Collar Jobs “Pivoting quickly and training for a new profession is exactly what workers have been told to do for decades as they have feared being replaced by machines or lower-wage overseas rivals or displaced in a lousy economy.” - Pedro Nicolaci da Costa, Business Insider Image Source: https://cdn.pixabay.com/photo/2016/11/22/09/03/training- 1848725_960_720.jpg
  24. 24. Conclusion Image Source: http://communicationx3.blogspot.com.au/2011/03/cx3- virtual-business.html Collaboration between Humans and Robots. The way it should be in the future “Humans” big and bold, and not the other way.
  25. 25. References Andrew Spence. (2018). Advanced medical device manufacturer to establish centre in South Australia [online] Available at: http://theleadsouthaustralia.com.au/industries/manufacturing/advanced-medical-device-manufacturer-establish- centre-south-australia/ [Accessed 4 Apr. 2018]. Apiumhub. (2018). Tech of the future: technology predictions for our world in 2050 | Apiumhub. [online] Available at: https://apiumhub.com/tech-blog-barcelona/tech-of-the-future-technology-predictions/ [Accessed 6 Apr. 2018]. Australian Brain Alliance. (2018). The Australian Brain Alliance. [online] Available at: https://www.brainalliance.org.au/about/ [Accessed 4 Apr. 2018]. Bluerise. (2017). Bluerise - Harnessing the ocean's power. [online] Available at: http://www.bluerise.nl/ [Accessed 6 Apr. 2018]. Cdn.pixabay.com. (2018). Free Image on Pixabay - Training, Education. [online] Available at: https://cdn.pixabay.com/photo/2016/11/22/09/03/training-1848725_960_720.jpg [Accessed 7 Apr. 2018]. Commons.wikimedia.org. (2018). File:Factory Automation Robotics Palettizing Bread.jpg - Wikimedia Commons. [online] Available at: https://commons.wikimedia.org/wiki/File:Factory_Automation_Robotics_Palettizing_Bread.jpg [Accessed 7 Apr. 2018].
  26. 26. References Costa, P. (2018). A solution to job-stealing robots is staring us right in the face. [online] Business Insider Australia. Available at: https://www.businessinsider.com.au/retraining-solution-to-robots-automation-2017-7?r=US&IR=T [Accessed 7 Apr. 2018]. Delaney, K. (2018). The robot that takes your job should pay taxes, says Bill Gates. [online] Quartz. Available at: https://qz.com/911968/bill-gates-the-robot-that-takes-your-job-should-pay-taxes/ [Accessed 7 Apr. 2018]. En.wikipedia.org. (2018). Cotton gin. [online] Available at: https://en.wikipedia.org/wiki/Cotton_gin [Accessed 6 Apr. 2018]. Flickr. (2018). Universal Basic Income Hi-Res Desktop Wallpaper. [online] Available at: https://www.flickr.com/photos/148040463@N06/31876556763 [Accessed 7 Apr. 2018]. Henley, J. (2018). Money for nothing: is Finland's universal basic income trial too good to be true?. [online] the Guardian. Available at: https://www.theguardian.com/inequality/2018/jan/12/money-for-nothing-is-finlands-universal-basic- income-trial-too-good-to-be-true [Accessed 7 Apr. 2018]. Kenny, D. (2018). Bill Gates Is Wrong: The Solution to AI Taking Jobs Is Training, Not Taxes. [online] WIRED. Available at: https://www.wired.com/2017/04/bill-gates-wrong-solution-ai-taking-jobs-training-not-taxes/ [Accessed 7 Apr. 2018].
  27. 27. References McNerney, S. (2014). In The Information Age, You Can’t Google Good Ideas. [online] The Creativity Post. Available at: http://www.creativitypost.com/business/in_the_information_age_you_cant_google_good_ideas [Accessed 6 Apr. 2018]. NBC News. (2018). Opinion | Humans ignore the coming AI revolution at their peril. [online] Available at: https://www.nbcnews.com/think/opinion/will-robots-take-your-job-humans-ignore-coming-ai-revolution-ncna845366 [Accessed 7 Apr. 2018]. News24. (2013). How technology's changed the workplace. [online] Available at: https://www.news24.com/Technology/News/How-technology-has-changed-the-workplace-20130123 [Accessed 6 Apr. 2018]. Paul Muggeridge. (2017). Robots replacing teachers is a good thing – yes or no? [online] Available at: https://blog.educationandskillsforum.org/robots-replacing-teachers-is-a-good-thing-yes-or-no/ [Accessed 4 Apr. 2018]. Ruuse, L. (2018). Artificial Intelligence: Mind-Boggling Future Predictions in 2018. [online] Scoro. Available at: https://www.scoro.com/blog/artificial-intelligence-predictions/ [Accessed 6 Apr. 2018].
  28. 28. References Terence Chea. (2018). Robots break new ground in construction industry [online] Available at: https://www.ctvnews.ca/sci-tech/robots-break-new-ground-in-construction-industry-1.3848809 [Accessed 4 Apr. 2018]. The Public Domain Review. (2018). A 19th-Century Vision of the Year 2000. [online] Available at: http://publicdomainreview.org/collections/france-in-the-year-2000-1899-1910/?utm_medium=google [Accessed 6 Apr. 2018]. WiseStep. (2018). Advantages and Disadvantages of Artificial Intelligence - WiseStep. [online] Available at: https://content.wisestep.com/advantages-disadvantages-artificial-intelligence/ [Accessed 7 Apr. 2018].

Notes de l'éditeur

  • Note: This presentation was created by 4 people (including me) and I am posting this presentation after taking permission from the other 3 creators through a chat in “Facebook Messenger”.
    All the images have been taken from the internet and their source has been mentioned.
    Start with the Introduction of what audience are going to hear in the coming slides. History, present, solutions.
  • This is optional to add.
    Use website https://willrobotstakemyjob.com
  • Paper book in the form of audio to the students through headphones, in short “Audiobooks”.
  • The examples of AI are case from Work & School and Home applications. Each example illustrates how AI will continue to transform our daily lives in the near future.


    Reference : https://www.techemergence.com/everyday-examples-of-ai/


  • The examples of AI are case from Work & School and Home applications. Each example illustrates how AI will continue to transform our daily lives in the near future.


    Reference : https://www.techemergence.com/everyday-examples-of-ai/
  • Do you believe that artificial intelligence (AI) is powerful and smart enough to take over the majority of jobs in the future? Should people start rethinking their career choices and choose jobs that are the least likely to become obsolete thanks to automation?

    Accountancy giant PwC recently revealed that its financials service jobs are most at risk of a robot takeover with a 61 percent of jobs to be replaced by machines. In a published report, their research showed that 4 in 10 jobs in the US were at risk of being replaced by robots and AI, predicting that 38% of US jobs would be replaced by robots by the early 2030s.

    Reference : https://tweepsmap.com/blog/2017/08/9-jobs-that-are-at-risk-of-being-replaced-by-ai/

  • Image Source : https://www.technologyreview.com/s/515926/how-technology-is-destroying-jobs/

    GDP will rise but the increase in GDP will be caused by the implementation on machines. As unemployment has decline, the rise in the Gdp will be unequally distributed among the economy causing the inequality gap to widen. Thus the rise in GDP will not bring a good effect on the economy

    Government expenditure on unemployment benefits will increase as robots will replace human thus instead of investing the surplus in GDP to create more job for the unemployed ones the money will go on benefits creating very low multiplier effect.

    Prices may decrease in the long run as robots do not need wages and the can work 24/7 thus producing more till the economies of scale point to lower cost , this may cause price of certain products to fall.
  • Machines are/will replace us, so what, do what they can’t do !
    There are several sectors that can be discussed but for the time being let us stick to the ones listed here.
  • So teachers with knowledge of ICT are valuable to the society.
    Each child is different, has numerous emotions, different capabilities and strengths. And to understand these characteristics a human mind is way better than the programmed mind of a robot.
    There are several students with no or little access to the education. So, this problem becomes the opportunity of helping the society. At some places distances education is being used to teach the kids, and to make the process more effective, not only ICT persons, but imaginative and creative persons are required.
    Any discussion on this topic is most welcomed by the end of the presentation.
  • When more robots and AI equipped devices are used means more complex networking between various devices. Under such circumstance, would be required the network architectects and network security persons, to safeguard the devices from unwanted access.
  • To my understanding and little knowledge this task can’t be automated, because in this process there is the need of thinking of what is important what is not.
    A complete understanding of the system of which the database is being created is required.
    And in database different fields are available such as, database designers, analysts, administrators, physical database architects.
  • Kids life starts with electronic toys in hands, for some tablets a re toys or a table and for other it is a device from where the whole world of information is available.
    Toys these days are not limited to the kids they have reached the adults. Current toys are made to teach the kids to program and learn more interactively.
  • If a robot is replacing the brick layer, the brick layer could be the employed for the maintenance of the robot. Every robot need the maintenance, they also become non-functional.
    Window Cleaning Bots.
  • Crack the Brain’s Code: An initiative of understanding the biological connection within the brain.
    Someone needs to develop an algorithm, make the program to understand the brain. Opportunities are huge.
    Some people are making the exo-skeleton to help the disabled and some other are making them to fight others making others disabled. it is a loop!
  • While automation and AI are not necessarily problems themselves, they do give rise to issues that will need to be addressed, primarily loss of employment and income.
    The possible solutions to these problems include: Universal Basic Income, training people to adapt, and taxing automation.
  • Universal Basic Income is a system in which all citizens within a society, irrelevant of circumstances like employment status or income, will receive a set amount of money from the government continuously. UBI (Universal Basic Income) has great potential to be a safety net for people who are between jobs, to free individuals to follow less financially supported paths in life, and to ensure a bare minimum financial income to help eradicate poverty.

    UBI is currently being tested in Finland where “2,000 unemployed people aged 25 to 58” are being given €560 (approximately $900 AUD) per month. Although this isn’t an accurate test for all aspects of a UBI as it is only being given to unemployed people and is an amount roughly equivalent to their current unemployment benefits rate. It is also hard to get solid evidence on how it is going as Kela, the Finnish social security agency is attempting to avoid bias in their information by keeping minimal contact with the participants until the project ends.

    Despite the relatively small amount of testing that has been done at this time there are many high profile professionals that are hopeful for the future of Universal Basic Income, including “Mark Zuckerberg, Stephen Hawking, Elon Musk and Bernie Sanders” .

    https://www.theguardian.com/inequality/2018/jan/12/money-for-nothing-is-finlands-universal-basic-income-trial-too-good-to-be-true
    https://www.flickr.com/photos/148040463@N06/31876556763
  • This possible solution is less of a stand alone idea and more one that would stand as a support to other solutions. If it were to work it would help on two main fronts.
    The first is that it would discourage companies from using automation too excessively as it could become financially unjustifiable,
    and the second is that it could be used as a revenue source to help fund other solutions like Universal Basic Income or skills training.

    However, it is a rather contested topic, as much if not more than Universal Basic Income. While advocated for by Dr Danushka Bollegala from the University of Liverpool and Microsoft Co-Founder Bill Gates, it does have its opponents.
    This can be seen by a number of articles from sites like Wired and Fortune, who claim that taxing automation and AI is nothing more than a knee jerk reaction to a great opportunity.

    Refernces:
    https://qz.com/911968/bill-gates-the-robot-that-takes-your-job-should-pay-taxes/
    https://www.wired.com/2017/04/bill-gates-wrong-solution-ai-taking-jobs-training-not-taxes/
  • Yet another potential solution is training people to adapt and to adjust from the careers and jobs that will be made redundant, to the new ones that will arise.
    A large part of this is teaching people how to establish and maintain the mindset of lifelong learning. This will allow individuals to move from one career to another as their circumstances may demand.

    There is also the recent coining of the term ‘New Collar Jobs’, by IBM CEO Ginni Rometty. A term used to describe the jobs that exist, primarily in the technology industry, that require the development of technical and soft skills typically through nontraditional forms of learning, such as vocational training. The name is usually used to describe jobs like app developers, and cloud computing specialists.

    References:
    https://www.businessinsider.com.au/retraining-solution-to-robots-automation-2017-7?r=US&IR=T
    https://cdn.pixabay.com/photo/2016/11/22/09/03/training-1848725_960_720.jpg
  • From self-driving cars, to delivery drones the newest wave of automation has already begun and it will likely be a drastic change to the way our lives operate.
    However, humanity has faced this issue previously, not quite on the same scale but when automation first arose we adjusted and prospered, using it to fuel our needs.
    In the coming decades industries will rise and fall as they have due to countless advances throughout our history, but yet again we must try to find best outcome for humanity as a whole.
    This may cause an era of collective economic growth if handled correctly, or one of mass unemployment if not.
    Will we use our resources well and flourish, or poorly and stumble?
    References:
    https://commons.wikimedia.org/wiki/File:Factory_Automation_Robotics_Palettizing_Bread.jpg
  • Just add on to this, make sure it is in alphabetical order. Use for help: http://www.citethisforme.com/ so that all have the same format! Ty http://ctfm.link/3e929025e19146adb4c0acb72b4c0a45 <-shared link to the bibliography so you can add to it

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