Human in the Loop - why Ai is exciting but not yet independent

Artificial intelligence: It is conquering and transforming the digital working world and where automation has already found its way in, the use of AI in new application possibilities continues to gain momentum and enables increasing efficiency. It takes over analyses, predictions, visualizations, and customer service activities.

But are we there yet? Can machines really take over essential workflows in business? Can we just sit back and let the AI do the work?

Can Artificial Intelligence replace Humans?

Yes and no. It's true that AI can support us in many areas of business and, above all, simplify, improve and automate routine processes. AI is at our side in modern business when it comes to research, translation, creation of structured documents, data retrieval, data analysis and more.

She is a reliable and always available employee, right?

AI needs the Human-in-the-Loop

AI is exciting and exciting with an incredible number of possible uses for businesses. But human control is still necessary, because despite these capabilities, AI remains dependent on the human-in-the-loop approach to achieve greater fulfillment of its potential.

AI still has many Shortcomings

The autonomous use of artificial intelligence without human monitoring is not advisable and there are important reasons for this:

• AI Bias: Output may contain questionable and discriminatory views and conclusions. It can be based on data sets that contain bias or normalize sexism and racism.
• Currentness: The data sets of the AI models are largely not current. As a result, AI tools are not up-to-date with their information. This is especially relevant in very dynamic industries with a demand for real-time data such as the financial sector or healthcare.
• Hallucination: AI has the tendency of hallucinating. This means that she can produce and distribute untrue output. Particularly in the area of critical data and important decision-making processes in business, it is important to keep an eye on the emergence of AI hallucinations.
• Errors: AI still produces errors. Especially in longer chains of thought, logic and truthfulness can be lost in the output. As a result, ambiguous information may arise, for example.

But don’t let this keep you from taking on the AI challenge!

Perfect the Output with Iteration and human Feedback

The human-in-the-loop approach addresses these problems through checking, steering and iteration, thus always producing a usable result through constant training in perfect interaction.

Human input is crucial. Through this approach as a logical extension of cognitive human abilities, AI learns efficiently and constantly develops with far-reaching potential and ever new, exciting use cases.

So be sure to stay in the loop or in other words, stay the human-in-the-loop when it comes to AI automation of your workflows and projects!