There really aren’t any professions completely safe from automation or Artificial Intelligence. Most visionaries will advise you to become resilient, moldable, and creative to ensure a job in the future of work. Whether you like it or not, there’s a digital shadow that follows you everywhere.
1. Human Assistants – The State Of Robot Caregivers
To harness the power of intelligent machines, people should master interfaces and strategies that enable efficient human-machine interaction. The same way Google rewards those users who enter relevant search queries, machine learning assistants will benefit people who understand how to talk with them.
2. Algorithmic Managers – The Fine Line Of Data Driven Decisions
AI software is in charge of important business decisions, planning and performance assessment in many on-demand mobility and delivery services that make up the so called gig economy.
Similar algorithmic procedures are used in Uber, the world-leading mobility service that connects passengers and drivers. At Uber, once a driver is logged into the system he or she has 10–20 seconds to accept trip requests. If three trip requests are missed in a row, a driver is automatically logged out for several minutes. In the case of frequent violation of Uber algorithmic policies, the driver’s account may be deactivated.
3. Bot Trainers – The AI Chatbot That Mimics Your Unique Personality
AI will not replace most of the jobs in the near future. In most cases, it will simply augment employees, turning them into AI operators and assistants. In this context, they will have to learn how to effectively configure and collaborate with machines. For example, chatbot startups are hiring AI trainers who evaluate the performance of AI software and step in if something goes wrong. Many chatbot startups use vertical AI that performs one specific task, such as arranging a call or meeting of the consumer with a human employee.
4. Decision Making Support – Don’t Live By Our Rules
Whenever a company transfers responsibility for decision-making to ML algorithms, machines automatically turn into bosses. At the same time, however, machines will not affect the spheres where wrong decisions have dangerous implications. This is true about health care in which daily activities of health professionals require human expertise and direct contact with patients. Although medical diagnosis AI can provide physicians with valuable insights, the final decision will be taken by health care specialists who have to verify the machine’s conclusions and ensure that all ethical norms and policies are met.
5. Autonomous Vehicles Follow Progress
Remember your first cellphone? I’m guessing a Nokia or a Motorola that could call, text, set an alarm, and maybe play Snake. No different than phones in the early 2000s, car manufacturers are in a features race right now. From the blind spot monitor to automatic parallel parking to brake assist, and everything else new cars now offer, manufacturers are in a race to give us features that will make us feel safe and relaxed. These features are supposed to segue us into autonomous vehicles. Unfortunately, we have to learn how to use these features.
6. Creative AI Is Live
Creativity starts in our memories. In relating two unrelated memories, something completely new is born. With that in mind, you’d think that computers would be brilliant creatives, since they have seemingly limitless memories. However, to become a Creative AI, they must go against their own source code. Only then will we uncover the first critically-acclaimed AI Filmmaker, AI Artist, or AI Poet.
Like anything controversial, you can be with it or against it. You can fight to make this a reality or do everything in your power to stop its momentum.