Welcome!

Machine Learning Authors: Liz McMillan, Elizabeth White, Kevin Jackson, Progress Blog, Jason Bloomberg

Related Topics: @ThingsExpo, Machine Learning , Artificial Intelligence

@ThingsExpo: Article

The Five Jobs Robots Will Take Last | @ThingsExpo #AI #ML #IoT #M2M

Let’s define 'robots' as technologies that have been trained to perform tasks that currently require humans to perform

Last week, I compiled a list of the 5 jobs robots will take first. Today, let’s have a go at the 5 jobs robots will take last. For this article only, let’s define “robots” as technologies, such as machine learning algorithms running on purpose-built computer platforms, that have been trained to perform tasks that currently require humans to perform.

Understanding How Humans Work
Almost every human job requires us to perform some combination of the following four basic types of tasks:

  • Manual repetitive (predictable)
  • Manual nonrepetitive (not predictable)
  • Cognitive repetitive (predictable)
  • Cognitive nonrepetitive (not predictable)

For example, an assembly line worker performs mostly manual repetitive tasks which, depending on complexity and a cost/benefit analysis, can be automated. A CEO of a major multinational conglomerate performs mostly cognitive nonrepetitive tasks that are much harder to automate. So, the trucking and taxi industries are in for a big shakeup; C-suite corporate management, not so much.

Thinking About the Future of Work
Make no mistake: at some level, every job can (and will) be done by machine. It is not a question of if; it is just a question of when. You’re going to push back now and tell me how different humans are from machines and how long it will actually take for all of this to happen. Stop. Read Can Machines Really Learn? for a primer in machine learning. Then read AlphaGo vs. You: Not a Fair Fight to understand what is happening and why you should care about it. If you’re still not convinced, have a look at What Will You Do After White-Collar Work?. It will help put all of this in perspective.

That said, there are some jobs that will be exceptionally difficult for AI to do subjectively better than humans. This is not an arbitrary list. Each of the following jobs requires a unique combination of human intuition, reasoning, empathy and emotion, which is why it will be difficult for an AI system to train for them.

As you will see, the last jobs that robots will take share a common thread: humanity.

1. Pre-school and Elementary School Teacher
Unless we are trying to turn our children into little computers, we cannot let computers train our children. (“Singularity” people, I know what you’re going to say. The Kurzweilian future is now estimated to begin in the year 2045. There will have to be a minimum age law associated with human/machine integration.) I can imagine a robot kneeling beside a sobbing five-year-old (who just figured out that his mom packed PB&J instead of a bologna sandwich) and offering comfort and a shoulder to cry on, but the robot is unlikely to provide an emotionally satisfying outcome. We teach our children to be human. If we want them to grow up to be human, they will have to be trained by their own kind.

2. Professional Athlete
Would football be interesting if it were played by robots? Maybe. Would it be fair to put human athletes on the field of play against robots? Probably not. Using today’s regulation clubs and balls, robot golfers would consistently shoot in the high 40s to low 50s. What’s the point? As long as humans strive for athletic excellence, humans will need to play sports. What about surgically enhanced, genetically modified athletes? That’s for another article.

3. Politician
Politics and humanity are inextricably linked. The complex mix of subtlety and nuance required to become a successful politician is not in the current purview of AI. It’s a training set that would require a level of general intelligence that is far beyond the reach of near-term technology. Machines do not need politics; they “live” in a meritocracy. Humans live in anything but. As long as fairness and equality are important topics, humans will be the only ones on the political scene. Some of you will remind me that all politicians have the same goal: to get reelected. And therefore, politicians should be very easy to program. Nope. Sadly, politicians will be among the very last professionals to lose their jobs to AI. (They are also in a unique position to legislate their own job security.)

4. Judge
Judges, adjudicators, arbitrators, and people who judge baking contests or Olympic sports or any type of contests that require both objective and subjective assessments have practically robot-proof jobs. Subjective judgment requires vast general knowledge. It also requires a thorough understanding of the ramifications of your decisions and, most importantly, a precise ability to play “I know, that you know, that I know” with the parties who are directly involved, as well as the public at large. If you can make a living judging baking contests, you’ve got lifetime job security (as long as you don’t eat too many pies).

5. Mental Health Professional
Psychologists, psychiatrists, and other mental health professionals will simply be the last jobs robots can take. Sure, we could do a combination natural language understanding, automatic speech recognition system tied to a competent AI system that would make a fine suicide prevention chatbot. But there’s much more to understanding and treating mental health issues. Again, humans are better equipped to understand other humans. This is not to say that medical professionals won’t leverage AI systems to do a better job, but the ability to create a robot that could take the job of a trusted psychiatrist will be outside of our technical reach until we have functioning WestWorld-style robots. And even then, it will be a reach.

Not on the List: Artist (Dancer, Painter, Musician, Singer)
I have intentionally left artist, writ large, off this list. The artist is a good subject for another article. Suffice it to say, technology has already had a huge impact on the economics of the arts. And, as much as I would like to tell you otherwise, none of these jobs are anywhere near safe.

What’s Next
If you’re wondering where your job sits on the list of “Run for your life, the robots are coming,” you have a simple, singular mission. Learn how your job is going to be automated. Learn everything you can about what your job will evolve into and become the very best man-machine partner you can. It’s the best way to prepare yourself for the advent of AI. Lastly, don’t wait. Everyone will tell you that none of this is happening anytime soon. They are flat wrong. But even if they are right, there’s no harm in being better prepared for an inevitable future.

The post The 5 Jobs Robots Will Take Last originally appeared here on Shelly Palmer

More Stories By Shelly Palmer

Shelly Palmer is the host of Fox Television’s "Shelly Palmer Digital Living" television show about living and working in a digital world. He is Fox 5′s (WNYW-TV New York) Tech Expert and the host of United Stations Radio Network’s, MediaBytes, a daily syndicated radio report that features insightful commentary and a unique insiders take on the biggest stories in technology, media, and entertainment.

@CloudExpo Stories
In his general session at 21st Cloud Expo, Greg Dumas, Calligo’s Vice President and G.M. of US operations, discussed the new Global Data Protection Regulation and how Calligo can help business stay compliant in digitally globalized world. Greg Dumas is Calligo's Vice President and G.M. of US operations. Calligo is an established service provider that provides an innovative platform for trusted cloud solutions. Calligo’s customers are typically most concerned about GDPR compliance, application p...
"I focus on what we are calling CAST Highlight, which is our SaaS application portfolio analysis tool. It is an extremely lightweight tool that can integrate with pretty much any build process right now," explained Andrew Siegmund, Application Migration Specialist for CAST, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
As many know, the first generation of Cloud Management Platform (CMP) solutions were designed for managing virtual infrastructure (IaaS) and traditional applications. But that's no longer enough to satisfy evolving and complex business requirements. In his session at 21st Cloud Expo, Scott Davis, Embotics CTO, explored how next-generation CMPs ensure organizations can manage cloud-native and microservice-based application architectures, while also facilitating agile DevOps methodology. He expla...
SYS-CON Events announced today that Evatronix will exhibit at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Evatronix SA offers comprehensive solutions in the design and implementation of electronic systems, in CAD / CAM deployment, and also is a designer and manufacturer of advanced 3D scanners for professional applications.
SYS-CON Events announced today that Synametrics Technologies will exhibit at SYS-CON's 22nd International Cloud Expo®, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Synametrics Technologies is a privately held company based in Plainsboro, New Jersey that has been providing solutions for the developer community since 1997. Based on the success of its initial product offerings such as WinSQL, Xeams, SynaMan and Syncrify, Synametrics continues to create and hone inn...
Cloud Expo | DXWorld Expo have announced the conference tracks for Cloud Expo 2018. Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA. Digital Transformation (DX) is a major focus with the introduction of DX Expo within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive ov...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, whic...
To get the most out of their data, successful companies are not focusing on queries and data lakes, they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. In his session at @BigDataExpo, Jack Norris, Senior Vice President, Data and Applications at MapR Technologies, reviewed best practices to ...
DevOps promotes continuous improvement through a culture of collaboration. But in real terms, how do you: Integrate activities across diverse teams and services? Make objective decisions with system-wide visibility? Use feedback loops to enable learning and improvement? With technology insights and real-world examples, in his general session at @DevOpsSummit, at 21st Cloud Expo, Andi Mann, Chief Technology Advocate at Splunk, explored how leading organizations use data-driven DevOps to close th...
Continuous Delivery makes it possible to exploit findings of cognitive psychology and neuroscience to increase the productivity and happiness of our teams. In his session at 22nd Cloud Expo | DXWorld Expo, Daniel Jones, CTO of EngineerBetter, will answer: How can we improve willpower and decrease technical debt? Is the present bias real? How can we turn it to our advantage? Can you increase a team’s effective IQ? How do DevOps & Product Teams increase empathy, and what impact does empath...
Smart cities have the potential to change our lives at so many levels for citizens: less pollution, reduced parking obstacles, better health, education and more energy savings. Real-time data streaming and the Internet of Things (IoT) possess the power to turn this vision into a reality. However, most organizations today are building their data infrastructure to focus solely on addressing immediate business needs vs. a platform capable of quickly adapting emerging technologies to address future ...
With tough new regulations coming to Europe on data privacy in May 2018, Calligo will explain why in reality the effect is global and transforms how you consider critical data. EU GDPR fundamentally rewrites the rules for cloud, Big Data and IoT. In his session at 21st Cloud Expo, Adam Ryan, Vice President and General Manager EMEA at Calligo, examined the regulations and provided insight on how it affects technology, challenges the established rules and will usher in new levels of diligence arou...
Most technology leaders, contemporary and from the hardware era, are reshaping their businesses to do software. They hope to capture value from emerging technologies such as IoT, SDN, and AI. Ultimately, irrespective of the vertical, it is about deriving value from independent software applications participating in an ecosystem as one comprehensive solution. In his session at @ThingsExpo, Kausik Sridhar, founder and CTO of Pulzze Systems, discussed how given the magnitude of today's application ...
There is a huge demand for responsive, real-time mobile and web experiences, but current architectural patterns do not easily accommodate applications that respond to events in real time. Common solutions using message queues or HTTP long-polling quickly lead to resiliency, scalability and development velocity challenges. In his session at 21st Cloud Expo, Ryland Degnan, a Senior Software Engineer on the Netflix Edge Platform team, will discuss how by leveraging a reactive stream-based protocol,...
Mobile device usage has increased exponentially during the past several years, as consumers rely on handhelds for everything from news and weather to banking and purchases. What can we expect in the next few years? The way in which we interact with our devices will fundamentally change, as businesses leverage Artificial Intelligence. We already see this taking shape as businesses leverage AI for cost savings and customer responsiveness. This trend will continue, as AI is used for more sophistica...
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and B...
Digital transformation is about embracing digital technologies into a company's culture to better connect with its customers, automate processes, create better tools, enter new markets, etc. Such a transformation requires continuous orchestration across teams and an environment based on open collaboration and daily experiments. In his session at 21st Cloud Expo, Alex Casalboni, Technical (Cloud) Evangelist at Cloud Academy, explored and discussed the most urgent unsolved challenges to achieve f...
"Digital transformation - what we knew about it in the past has been redefined. Automation is going to play such a huge role in that because the culture, the technology, and the business operations are being shifted now," stated Brian Boeggeman, VP of Alliances & Partnerships at Ayehu, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
You know you need the cloud, but you're hesitant to simply dump everything at Amazon since you know that not all workloads are suitable for cloud. You know that you want the kind of ease of use and scalability that you get with public cloud, but your applications are architected in a way that makes the public cloud a non-starter. You're looking at private cloud solutions based on hyperconverged infrastructure, but you're concerned with the limits inherent in those technologies. What do you do?
"We started a Master of Science in business analytics - that's the hot topic. We serve the business community around San Francisco so we educate the working professionals and this is where they all want to be," explained Judy Lee, Associate Professor and Department Chair at Golden Gate University, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.