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For years, organizations across the industry have been using robots to automate everyday tasks. In fact, people’s work revolves around robots every day — in their homes, on the streets and in the office. They are ubiquitous in ATMs and vending machines, as well as more sophisticated surgical robots and self-driving cars. These robots come in all shapes and shapes. They may not look like humans, but they are the darlings of corporate units and are undoubtedly a key driver of mass production.
Now imagine a normal day — you wake up in the morning, you go to work, you get a cup of coffee, you start a conversation with your colleagues… Everything is fine, you’re engaged, you share your ideas with colleagues, and you gain new insights. After the conversation is over, you go back to your desk and get to work. An hour later, your boss asks you to compare and analyze five long reports. You don’t have enough time to do this because the project takes too long and takes too much effort; Besides, you have other things to do. So you reach out to your colleague, who has all the analysis back in less than an hour.
Sounds far-fetched, doesn’t it? No “normal” colleague will help you get things done, let alone get them done quickly. But what if I told you that your co-worker is a robot? A robot that looks and acts like any other human. They can talk like you, think like you, and reason almost like you. But he’s still a robot. What do you think?
Artificial Intelligence, Machine learning and robotics
Many robots are not A.I. they are programmed to perform repetitive tasks or activities and manipulate real-world objects. Still, some experts point out that the ability to think and make decisions builds robots, but does that imply that robots need to use AI?
Artificial intelligence, on the other hand, aims to replicate human intellectual behavior by demonstrating the ability to solve problems, learn, perceive and reason. AI involves a degree of machine learning, which is based on the premise that the machine can learn autonomously once the data is retrieved.
AI and ML and robotics are intended to create an artificial machine/robot with human intellectual capabilities that will be able to articulate original ideas on its own. It’s not there yet, but it’s made a lot of progress.
You may have heard of a social robot named Sophia. If you know what that means, you can probably imagine a more complicated version of Sophia working and collaborating with humans.
Another big recent advance has been so-called machine process automation (RPA), software robots that replicate human interactions to help companies and employees perform simple tasks. RPA is just software, not physical AI robots, but it’s certainly a breakthrough.
The real challenge is getting AI to understand how natural intelligence works, because humans understand how the brain works and can teach AI to think and learn, but we still don’t know how these connections lead AI to use abstract reasoning, known as “common sense.”
My colleague is a robot
Going back to the beginning of the article — robots designed to share work Spaces with humans, to perform physical and intellectual activities, to think with humans, to learn from their environment, to question decisions, and to work with humans to find solutions will greatly reduce risk and thus increase productivity exponentially.
Robots are already better at many things than humans, but they still need humans to interpret their work and apply it strategically and creatively. Therefore, it is important to make sure that robots are used as AIDS and not as competitors; Assign tasks that humans don’t want to do, that is, tasks that are heavy and repetitive, to robots; Leave the rest of the work that requires judgment and expertise to humans.
Imagine again the same situation as at the beginning of this article: You are talking to a colleague, but you know right from the start that your colleague is a robot. Are you surprised?
Maybe. I know it still sounds scary, but if we think a little deeper and focus on the benefits of working with ai colleagues rather than the negatives, we might change our minds. These benefits include:
Safety: The robots will use heavy machinery, sharp objects, come into contact with chemicals, or work at low temperatures and other similar tasks. This will protect employees from working in hazardous and unhealthy environments.
Speed and consistency: AI robots work fast and without interruption, they don’t take vacations and can work year-round.
Error free: Robots rarely make mistakes, they are accurate and produce high-quality results.
Happiness and Productivity: The bottom line is that all the benefits of robots are designed to increase both employee happiness and productivity. As mentioned above, these robots are taking over jobs that we humans don’t like. From high level work, to heavy work, to highly repetitive basic work, and finally those complex tasks that require advanced analytical capabilities, robots do all the work.
Examples of work that can be assisted by AI robots
Data journalist: This type of journalist focuses on data analysis. AI robots can do this perfectly, faster and more efficiently.
Secretary: Answering phone calls, sending emails, scheduling meetings, and other tasks (both physical and physical) can be performed by AI robots.
Document review (Lawyers) : Many lawyers have to search thousands of documents to find specific information. AI robots can filter information instantaneously and also analyze it and generate reports. This kind of work can be applied to other fields as well.
Pharmacist: When you go to the pharmacy, the AI robot scans your prescription and finds the appropriate medication. For over-the-counter drugs, you can describe your symptoms and the robot will make suggestions. In addition, the robots are likely to have access to hospitals and medical records, and the instructions will be more accurate accordingly.
AI police and Intelligence Assistants: AI robots may assist police and intelligence agencies such as the CIA in collecting, storing, sifting and highlighting critical data needed for investigations. They can also perform physical tasks such as patrolling, arrest and traffic control.
Bartender: Robots can learn how to mix and serve drinks. Bartending, from beer to cocktails, can be done by robots. Not only that, but the robot can make hundreds of drinks in a matter of minutes.
Many people worry that robots will replace human jobs, thus reducing the number of jobs, but these robots can work with humans, cooperate and learn from each other, and will not replace human positions. In fact, technology has created far more jobs than it has eliminated. Many careers will change, and new ones will require a new set of skills that can be acquired through higher education and AI-supported training systems.
If people are going to share their workspace with robots and see them as partners rather than enemies, robots will first have to experience life like humans, which means robots need to learn about humans. The learning of robot will promote the smooth man-machine interaction, and also accelerate the learning speed of robot.
Ethics and AI colleagues
What ethical expectations do we have of our AI colleagues?
AI and robotics will have a huge impact on society, values and human rights.
If humans want machines to work automatically, they will need to collect a lot of data. But how many of them do people want to share with robots? If a robot causes an accident, will he be responsible for it? Would we be willing to give up our privacy to interact with robots? Can we trust a robot?
As technology develops, more questions will surface, and humans will need to implement some kind of control and protection of robot boundary structures to find answers to these questions.
Everything has two sides. For example, when technology goes wrong, people are temporarily thrown into uncertainty, and sometimes the situation can even become dangerous. So we have to manage robots carefully, and at the end of the day, humans will be responsible for controlling, checking and running them.
Humans should stop being afraid of AI and robotics and instead use them as tools to foster collaboration.
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