The Meaning of HITL (Human-In-The-Loop)

Machine translation (MT) has undergone significant evolution through the incorporation of artificial intelligence (AI), which uses neural systems to simulate human translations via machine learning. This advancement has addressed several shortcomings, particularly in natural language processing (NLP).  

Despite these advances, machine translation still falls short of the reliability of human translations. Therefore, human supervision is crucial to achieving the highest quality in neural machine translation processes. One of the best forms of human-machine collaboration is the human-in-the-loop (HITL) model. 

What does HITL mean?  

Human-in-the-loop (HITL) is a strategy used in artificial intelligence processes to enhance machine learning. This methodology integrates human assessment and input into the development and operation of an AI system, creating a feedback loop that refines the automated model. AI algorithms train themselves using vast amounts of data, continually learning to provide texts with increasingly accurate results. 

Both artificial and human intelligence have their limitations and strengths, and by combining them, we can leverage the positive aspects of each to implement the positive aspects of each and achieve better outcomes. This collaborative approach is known as HITL. 

In other words, human intelligence must intervene when a machine encounters difficulties in solving a problem. Humans adjust the initial data of the learning algorithm, and based on this constant feedback, the algorithm improves its predictions and decisions, achieving progressively better results. 

Often, there is algorithmic uncertainty, meaning a lack of confidence in the final result. Therefore, direct human interaction is necessary to create continuous learning and improve the quality of translations.  

Human intervention enables translation algorithms to better align with human logic, resulting in more accurate translations. This method combines advanced machine capabilities with human reasoning, thus reducing the errors of the artificial intelligence algorithm. 

For instance, a software company that wants to translate its website may choose to use a machine translation algorithm to save time. By translating the Spanish phrase “Nos comprometemos a ofrecer soluciones tecnológicas de vanguardia para impulsar a las empresas.” the algorithm could convert it into English as “We are committed to offering cutting-edge technology solutions to drive businesses forward.” 

While this translation is technically correct, it may sound stiff or unnatural in English. When a human translator intervenes, they would adjust the phrase to match the culturally appropriate style and tone of the target language. So, you might rephrase it as: “We are committed to empowering businesses with cutting-edge technology.” 

This intervention by the human translator not only ensures the accuracy of the message but also optimizes the cultural adaptation and impact of the content, achieving a more effective and appealing result for the target audience. 

Phases of HITL 

Human-machine interaction is used in two main phases. 

• Training Phase: The human prepares the initial data that the algorithm will use to solve problems. 

• Tuning and testing phase: The human intervenes to enhance the accuracy of the algorithm and correct any inaccuracies that the system produces. 

Advantages and Benefits of HITL 

Some of the main benefits of human-in-the-loop are as follows: 

• Improved Decision-Making Process: The implementation of a HITL system enhances decision-making within a company, offering a higher degree of transparency and consistency. In addition, the risks of bias inherent to algorithms are mitigated by incorporating human feedback during the training phase of the system. 

• Efficiency and Adaptability: These systems are considered more efficient compared to traditional machine learning systems, as they require less time for both initial training and subsequent adjustments. This allows for quicker results and faster information production. Through human intervention, HITL systems can receive instant feedback and adjust in real time, improving the accuracy and reliability of the results. Additionally, these systems can be trained to understand and process complex data, adapting efficiently to new challenges. 

• Increased Accuracy: Accuracy is enhanced by improving aspects such as data prediction, classification, and validation. Human intervention plays a crucial role in adjusting and fine-tuning the results obtained by the machine, ensuring greater accuracy. 

Disadvantages and Limitations of HITL 

While there are many advantages to human-in-the-loop systems, it is also important to recognize that they can face challenges and limitations that hinder the process if not addressed properly: 

• High Data Volumes: These systems handle large volumes of data, requiring substantial and often costly human intervention. 

• Limited Scalability: The need for human intervention can compromise the scalability of HITL systems, significantly limiting their ability to efficiently expand and adapt to larger data volumes and more complex operations. 

• Costs: Developing and maintaining HITL systems entails significant costs, as it requires specialized human resources, advanced technology, and continuous upgrades to ensure efficiency and optimal performance over time. 

• Speed: Human intervention in HITL systems can significantly slow down the process, resulting in longer run times compared to purely automated systems. 

• Human Error: Humans also make mistakes, which can increase the possibility of errors and negatively affect the efficiency and reliability of the system as a whole. 

The human-in-the-loop approach to artificial intelligence and machine translation is crucial to overcoming the current limitations of machines. Blending human intelligence with artificial intelligence leads to a continuous and measurable improvement in the quality of translations and other automated processes, thus ensuring optimal and reliable performance. 

We hope you have found this information useful. We will be happy to provide you with more details about the different aspects of translation. Do not hesitate to contact us or visit our blog for more information.