AI-Human Collaboration Stronger Together
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With the huge impact that developments in artificial intelligence (AI) are causing this year, many voices have emerged pointing out that AI will soon surpass human intelligence and will replace humans in many areas.

This idea implies that many workers would lose their jobs. However, experts point out that while artificial intelligence may outperform human capabilities in some areas, it is still far from matching human creativity and thinking in others.

In this article, we will disarticulate these discourses to understand why you will not lose your job with the current state of AI, and that on the contrary, this technology is much more efficient when used in collaboration with human intelligence and skills.

 Open vs Closed AI Systems

First, to understand the reasons why AI is not yet ready to massively replace humans it is necessary to understand the two types of AI that exist. Basically, there are open and closed AI systems. Open systems are those in which external variables (outputs) are beyond the machine’s control. Examples of open systems are autonomous vehicles or automated trading systems because even if the AI is programmed to act in a certain way in specific situations, there will always be factors of unpredictability (for example, if another vehicle unexpectedly crosses a red light). 

On the other hand, closed systems are those in which the AI works much more efficiently because there is no external data. The AI is provided with information on all possible situations in a controlled environment. An example of this type of system is the software trained for chess since the AI knows in advance all the rules and possible moves and that is why it is so efficient that it even managed to beat human world champions.

In conclusion, AI is highly efficient in closed systems and can outperform human capabilities in similar tasks, but it is still far from the thinking and foresight that humans have in open systems.

Types of AI Systems Infographic

Why Human AI Collaboration Produces the Best Results

While it may seem that the collaboration of humans with machines is something out of science fiction, and perhaps even dystopian, it is actually a process that has been going on for many years in a much more organic way than we imagine. In fact, the collaboration between humans and machines occurs all the time and everywhere, and an example of this is automobiles.

However, it is true that relatively recently, we are entering a new stage in the relationship between machines and humans. In recent years we have become accustomed to recommendation algorithms, chatbots, and virtual assistants, and now the big trend is generative AIs that produce results in response to the inputs we provide, such as Chat GPT or Midjourney.

What is important about this interaction? That humans and AI have different strengths and weaknesses, and by collaborating, they can complement each other to produce better results. Humans have creativity, empathy, and critical thinking skills, while AI excels at processing large amounts of data and performing repetitive tasks. By working together, humans can provide context and decision-making abilities, while AI can provide data-driven insights.

Human-AI collaboration offers many benefits to businesses. One of the most significant benefits is increased efficiency. AI can automate repetitive tasks, freeing up time for humans to focus on more complex work. AI can also provide data-driven insights that humans may not be able to see, leading to better decision-making. Additionally, AI can help businesses optimize costs by automating tasks and reducing the need for manual labor. Finally, businesses that leverage AI will have a competitive advantage over those that do not.

Is AI Really Coming to Replace Us?

The fear that AI will replace human jobs is a common concern. And that has been heightened in recent days with recent Chat GPT integration into the Microsoft environment and the information about the upcoming version that Google is currently working on.

However, the reality is that AI will not replace all jobs. While some jobs may become obsolete, new jobs will be created as a result of AI. Additionally, many jobs will still require human input, creativity, and empathy. AI is not a replacement for humans but a tool that can be used to enhance human capabilities. Businesses that embrace human-AI collaboration will be able to optimize costs, improve decision-making, and stay competitive in a rapidly evolving market.

Human-AI collaboration is a trend that is here to stay and companies that can apply this collaborative model in different areas will have a competitive advantage over those that do not.

Where Is Human-AI Collaboration Delivering Results?

The Power of AI is revolutionizing the way we live and work and is being used in various industries, such as finance, retail, healthcare, transportation, and manufacturing, to improve efficiency and accuracy.

Companies are now looking to combine the strengths of humans and AI to achieve better results. The following are examples of successful human-AI collaboration in different industries:


The University of California, San Francisco (UCSF) developed an AI system to help radiologists analyze mammograms. The system assists radiologists in identifying potential areas of concern, allowing them to focus their attention on potential issues and make more accurate diagnoses.


AI is being used in art to create new forms of expression with the boom of generative AI. In recent times, many AIs have emerged that allow the creation of original images such as DALL-E, Jasper Art, and Midjourney, among others.

However, the art generated through artificial intelligence is a method of creation that has been used for some time, as is the case of the Portrait of Edmond de Belamy an AI-generated painting that sold for $432,500 at Christie’s in 2018.


AI is being used in marketing to personalize advertising, create chatbots for customer service, and analyze customer data to improve marketing strategies. For example, HubSpot, a marketing software company, uses AI to analyze data on customers and their behavior to help businesses more effectively target their marketing efforts.


AI-powered tools like Grammarly and Hemingway can check a writer’s work for spelling, grammar, and style errors. These tools can provide suggestions to improve readability and make writing clearer.


In the legal field, AI is being used to help with research and document analysis. For example, Luminance is an AI-powered platform that can analyze and summarize legal contracts.


JPMorgan Chase developed an AI system called COiN, which stands for Contract Intelligence. COiN is designed to analyze legal documents, extracting meaningful information to help bankers more quickly and accurately process loan agreements.


Airbus developed an AI system to analyze aircraft performance data to predict when parts might need to be replaced or serviced, increasing safety and reducing maintenance costs.


AI can optimize inventory management, reducing waste and improving stock levels. For instance, Walmart uses AI to predict demand and optimize the placement of products in their stores.


John Deere, a manufacturer of farm equipment, uses AI and machine learning to analyze soil samples and other data to help farmers make better decisions about when and where to plant crops.


There is a debate about whether AI will replace humans in the workplace. Some argue that AI will make many jobs obsolete, while others argue that AI will create new jobs and enhance human productivity.

The reality is that current AI is not ready to replace humans, but it is an amazing tool that can be used to enhance human capabilities. Humans are still necessary for decision-making, creativity, and empathy. AI can assist humans in making decisions by providing data-driven insights, but it cannot replace human judgment.

At Inclusion Cloud, we specialize in providing technological solutions to businesses that enable human-AI collaboration. Contact us today to learn more about how we can help your business optimize costs, improve decision-making, and stay ahead of the competition.

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