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Debunking 8 Myths About AI in the Workplace

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The interplay between technology and work has always been a hot topic.

While technology has typically created more jobs than it has destroyed on a historical basis, this context rarely stops people from believing that things are “different” this time around.

In this case, it’s the potential impact of artificial intelligence (AI) that is being hotly debated by the media and expert commentators. Although there is no doubt that AI will be a transformative force in business, the recent attention on the subject has also led to many common misconceptions about the technology and its anticipated effects.

Disproving Common Myths About AI

Today’s infographic comes to us from Raconteur and it helps paint a clearer picture about the nature of AI, while attempting to debunk various myths about AI in the workplace.

Debunking 8 Myths About AI in the Workplace

AI is going to be a seismic shift in business – and it’s expected to create a $15.7 trillion economic impact globally by 2030.

But understandably, monumental shifts like this tend to make people nervous, resulting in many unanswered questions and misconceptions about the technology and what it will do in the workplace.

Demystifying Myths

Here are the eight debunked myths about AI:

1. Automation will completely displace employees
Truth: 70% of employers see AI in supporting humans in completing business processes. Meanwhile, only 11% of employers believe that automation will take over the work found in jobs and business processes to a “great extent”.

2. Companies are primarily interested in cutting costs with AI
Truth: 84% of employers see AI as obtaining or sustaining a competitive advantage, and 75% see AI as a way to enter into new business areas. 63% see pressure to reduce costs as a reason to use AI.

3. AI, machine learning, and deep learning are the same thing
Truth: AI is a broader term, while machine learning is a subset of AI that enables “intelligence” by using training algorithms and data. Deep learning is an even narrower subset of machine learning inspired by the interconnected neurons of the brain.

4. Automation will eradicate more jobs than it creates
Truth: At least according to one recent study by Gartner, there will be 1.8 million jobs lost to AI by 2020 and 2.3 million jobs created. How this shakes out in the longer term is much more debatable.

5. Robots and AI are the same thing
Truth: Even though there is a tendency to link AI and robots, most AI actually works in the background and is unseen (think Amazon product recommendations). Robots, meanwhile, can be “dumb” and just automate simple physical processes.

6. AI won’t affect my industry
Truth: AI is expected to have a significant impact on almost every industry in the next five years.

7. Companies implementing AI don’t care about workers
Truth: 65% of companies pursuing AI are also investing in the reskilling of current employees.

8. High productivity equals higher profits and less employment
Truth: AI and automation will increase productivity, but this could also translate to lower prices, higher wages, higher demand, and employment growth.

Still worried about AI’s impact on your career?

Here’s a list of 10 skills that will help you survive the rise of the robots in the workplace.

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Automation

How Self-Driving Cars “See” the World

This video breaks down the complex technology allowing a new generation of self-driving cars to view the world around them.

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self driving car technology

How Self-Driving Cars “See” the World

Modern cars bear little resemblance to their early ancestors, but the basic action of steering a vehicle has always remained the same. Whether you’re behind the wheel of a Tesla or a vintage Model T, turning the wheel dictates the direction of movement. This simple premise, which places humans at the center of control, may be ripe for disruption as tech giants and car companies race toward a future that would render human-controlled vehicles obsolete.

How does this next generation of self-driving cars “see” the road? Today’s video from TED-Ed explains one of the mind-bending innovations making autonomous vehicles a reality.

Eye of the Laser

Safely getting a vehicle and its passengers from point A to B is no simple matter.

First, weather and time of day can create a wide variety of challenging situations, affecting things like visibility, braking distances, or speed. Next, other vehicles, bikes, and pedestrians are constantly moving through the transportation network, sometimes in unpredictable ways. To further complicate matters, the road network is rarely in optimum form. Road lines fade and construction can throw ambiguous detours into the mix.

Sensing and analyzing the world at a granular level is crucial in making self-driving cars a viable transportation option. To solve this problem, new generations of autonomous vehicles are using photonic integrated circuits, as well as light detection and ranging (LiDAR) to generate an extremely nuanced picture of the road ahead.

self driving car lidar technology

How self-driving cars see the world. (Source: Hesai)

LiDAR – which is related to RADAR – uses short laser pulses to sense the depth and shape of objects. Essentially, scattered bursts reflect off objects around the vehicle, painting a detailed 3D picture of its surroundings. LiDAR’s depth resolution is so accurate that it could eventually see details at the millimeter scale.

A Dissenting Opinion

While most companies in the autonomous vehicle space have fully embraced LiDAR, Tesla has a divergent point of view. The company employs a combination of GPS, cameras, and other sensors to help its cars visualize the world.

LiDAR is a fool’s errand. Anyone relying on LiDAR is doomed.

– Elon Musk

Society and Self-Driving Cars

While companies like Uber and Waymo determine the functional mechanics of self-driving cars, the rest of society is left to ponder how this new technology will affect employment, privacy, and personal autonomy.

In the U.S., more than 70% of goods are moved by truck, and over 80% of commuters take a private vehicle to work on any given day. Even partial automation of the nation’s transportation network will have wide-sweeping impacts on the economy.

As AI-powered cars and trucks hit the streets at scale, how cars see the road will be a detail most of us will overlook. The bigger question will be whether we are ready for a society where we’re no longer in the driver’s seat.

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Ranked: The Autonomous Vehicle Readiness of 20 Countries

This interactive visual shows the countries best prepared for the shift to autonomous vehicles, as well as the associated societal and economic impacts.

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For the past decade, manufacturers and governments all over the world have been preparing for the adoption of self-driving cars—with the promise of transformative economic development.

As autonomous vehicles become more of a looming certainty, what will be the wider impacts of this monumental transition?

Which Countries are Ready?

Today’s interactive visual from Aquinov Mathappan ranks countries on their preparedness to adopt self-driving cars, while also exploring the range of challenges they will face in achieving complete automation.

The Five Levels of Automation

The graphic above uses the Autonomous Vehicles Readiness Index, which details the five levels of automation. Level 0 vehicles place the responsibility for all menial tasks with the driver, including steering, braking, and acceleration. In contrast, level 5 vehicles demand nothing of the driver and can operate entirely without their presence.

Today, most cars sit between levels 1 and 3, typically with few or limited automated functions. There are some exceptions to the rule, such as certain Tesla models and Google’s Waymo. Both feature a full range of self-driving capabilities—enabling the car to steer, accelerate and brake on behalf of the driver.

The Journey to Personal Driving Freedom

There are three main challenges that come with achieving a fully-automated level 5 status:

  1. Data Storage
    Effectively storing data and translating it into actionable insights is difficult when 4TB of raw data is generated every day—the equivalent of the data generated by 3,000 internet users in 24 hours.
  2. Data Transportation
    Autonomous vehicles need to communicate with each other and transport data with the use of consistently high-speed internet, highlighting the need for large-scale adoption of 5G.
  3. Verifying Deep Neural Networks
    The safety of these vehicles will be dictated by their ability to distinguish between a vehicle and a person, but they currently rely on algorithms which are not yet fully understood.

Which Countries are Leading the Charge?

The 20 countries were selected for the report based on economic size, and their automation progress was ranked using four key metrics: technology and innovation, infrastructure, policy and legislation, and consumer acceptance.

The United States leads the way on technology and innovation, with 163 company headquarters, and more than 50% of cities currently preparing their streets for self-driving vehicles. The Netherlands and Singapore rank in the top three for infrastructure, legislation, and consumer acceptance. Singapore is currently testing a fleet of autonomous buses created by Volvo, which will join the existing public transit fleet in 2022.

India, Mexico, and Russia lag behind on all fronts—despite enthusiasm for self-driving cars, these countries require legislative changes and improvements in the existing quality of roads. Mexico also lacks industrial activity and clear regulations around autonomous vehicles, but close proximity to the U.S. has already garnered interest from companies like Intel for manufacturing autonomous vehicles south of the border.

How Autonomous Vehicles Impact the Economy

Once successfully adopted, autonomous vehicles will save the U.S. economy $1.3 trillion per year, which will come from a variety of sources including:

  • $563 billion: Reduction in accidents
  • $422 billion: Productivity gains
  • $158 billion: Decline in fuel costs
  • $138 billion: Fuel savings from congestion avoidance
  • $11 billion: Improved traffic flow and reduction of energy use
    • With the adoption of autonomous vehicles projected to reduce private car ownership in the U.S. to 43% by 2030, it’s disrupting many other industries in the process.

      • Insurance
        Transportation will be safer, potentially reducing the number of accidents over time. Insurance companies are already rolling out usage-based insurance policies (UBIs), which charge customers based on how many miles they drive and how safe their driving habits are.
      • Travel
        Long distance traveling in autonomous vehicles provides a painless alternative to train and air travel. The vehicles are designed for comfort, making it possible to sleep overnight easily—which could also impact the hotel industry significantly.
      • Real Estate
        An increase in effortless travel could lead to increased urban sprawl, as people prioritize the convenience of proximity to city centers less and less.
        • Defining the parameters for this emerging industry will present significant and unpredictable challenges. Once the initial barriers are eliminated and the technology matures, the world could see a new renaissance of mobility, and the disruption of dozens of other industries as a result.

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