The usage of AI rapidly grows and becomes a part of all the areas of activities. Education and learning, medicine and hospitals, engineering, transportation, banking, marketing, and many other fields use AI to improve the results of their work and decrease expenses. People are afraid of losing their jobs because of the robots, who would do it better, faster and cheaper.
In 2019, we already know which professions will be taken by robots and the list is huge. Mostly, the list consists of automated and semi-automated jobs, which require repeated actions, like long-haul truck drivers, office assistants, warehouse workers, or hospitality jobs. But we could never think of a robot that would develop a new technology or write essays like a professional essay writer. What if we’re wrong? The latest Nvidia’s development shows that we may be mistaken. Their AI draws unique pictures from a sketch.
Who are in the Risk Zone:
- Fashion Models
There is a 97.7% chance that models will be automated. Dresses are the main thing on a fashion show, but not models. Therefore, for those, who appreciate women beauty, Engineered Arts, a British company, created a fully interactive and multilingual robot which can hold eye contact, guess a person’s mood, age and break into song.
- Referees
Umpires have a 98.3% chance of being replaced. Automated systems, like HawkEye or VAR are already used in professional tennis and soccer to help make the right decisions in controversial situations.
- Writers
We would never think that robots can take over creative jobs, but robots have already proven they can manage these tasks. Right now AI is widely used as writer’s helpers. Apps like Grammarly and Hemingway let writers make fewer mistakes and write better. If machines can correct writers now why wouldn’t they be able to write by themselves later?
- Telemarketers
There is a 100% chance for them to be automated. Even today, many of cold-callers or chat operators are not human. They will be replaced because robots can do this job 24/7 and can maintain countless rude customers.
- Loan officers
Loan officers are already on the way to be exiled. Mobile banking apps let people take credits online without getting up from a couch. These apps store all the needed information and can decide whether to give or not to give a loan without an officer’s intervention.
- Assembly line manufacturing workers
It is where people started to use robots earlier than anywhere. In the last 20 years, America lost 5 million manufacturing jobs. A Ball State University study shows that between 2000 and 2010 nearly 87% of manufacturing jobs were lost. The only chance for a human being to have a job at manufacturing is to be a machine operator.
- Soldiers and pilots.
They won’t be replaced but they won’t leave barracks. In the future people will not take part in fights, but robots will. Soldiers will be operating a war robot from a computer like in video games. There are 30 countries, which use autonomous weapons in 2019. The most well-known example is Israel’s Harop loitering. It is a drone controlled by a human, but it can find targets and open fire automatically.
You shouldn’t be afraid
A Deloitte study shows robotics had killed nearly 800,000 jobs in the U.K. over a 15-year period, but 3.5 million new jobs had been created with the higher average wages. Robots let people get rid of boring, monotonous jobs that they don’t like so much. In the next years, universities will focus on computer engineering, robotics, and AI. They will be raising engineers and programmers instead of warehouse workers. If your job is in the risk zone, don’t worry. Usually, people never get fired but their occupations transform into something different, and sometimes more interesting and profitable.
AI bias occurs when a computer algorithm makes prejudiced decision based on data or programming rules.
As these data have been collected by humans – they are subjective and often unrepresentative.AI helps us find insurance policies, work out if we are credit-worthy, and even diagnose our illness.
So in many ways, these systems have improved our lives, saved our time on repetitive data entry and making accurate recommendations.
Since most of the AI technology is designed to take the human guesswork out of decision-making, this bias is an ironic turn and one that can have sinister results.
“IT IS BECOMING MORE AND MORE IMPORTANT TO MAKE CERTAIN THAT AI APPLICATIONS ARE UNBIASED, BECAUSE AI IS TAKING OVER AND MAKING DECISIONS ABOUT PEOPLE’S LIVES.”– DR. ANTON KORINEK,ASSOCIATE PROFESSOR OF BUSINESS ADMINISTRATION AT DARDEN SCHOOL OF BUSINESS AI is Bias: It’s in the data and not the algorithmAccording to Gartner Research, approximately 85% of all AI projects will deliver erroneous outputs as the data is inserted and maintained by humans.And if you deep dive into the concept of bias in machine learning, then you will realize that the question to your answer would be data.
There are four types of bias:Sample Bias/Selection Bias:Sample Bias is when the distribution of the training data fails to reflect the actual environment in which the machine learning model will be running.
Over the next several years, new markets will likely see an increase in robotics use.
In 2021 we are seeing large retail and consumer firms adopting robotics to add flexibility to meet market dynamics.
So MYTECHMAG brings to you best Robotics Companies with latest innovative technology and services.
At this time of #COVID_19Pandemic a lot of business are urging to be well prepared against the spread of disease through utilizing #AITechnologies like cloud, mobile, analytics, robotics and Machine Learning.
Henceforth we have selected a few prominent AI Innovations best recommended for today’s society to adopt with and survive this pandemic successfully.Learn More at : Scope of AI for Business.
