Human control over AI: challenges and solutions with the 3Q-Approach

In a world where artificial intelligence (AI) is controlling more and more processes and influencing decisions, the question of human control over this technology is becoming ever more pressing. How can companies ensure that AI systems work efficiently without relinquishing control? How do we avoid ethical dilemmas and preserve our values? These questions are at the heart of the public debate – and this is precisely where the 3Q-Approach comes in.

The public debate: who retains control?

The topic of human control over AI is discussed in many different ways:

1.Responsibility and ethics

The public debate revolves around the responsibility that comes with the use of AI. Who bears the consequences of decisions made by AI? Humans must remain in a position to understand and ethically evaluate decisions made by AI

2. Transparency and traceability

Many AI systems operate as “black boxes” whose inner workings are difficult to understand. One of the public’s demands is that AI developers ensure transparency in order to create trust in the technology.

3. Regulation and standards

Governments and organizations are working on guidelines such as the EU AI Act to ensure that humans remain in control and that AI is used responsibly.

4. Fear of losing control

The concern that AI systems could make critical decisions in areas such as healthcare, justice or the military without human intervention is leading to a growing awareness of the need for safety mechanisms.

5. Human skills versus technology

One key question is: How can humans and AI work together effectively without humans losing their freedom of choice or creativity?

The contribution of the 3Q-Approach to human control over AI

The 3Q-Approach I developed offers companies a holistic method to overcome these challenges. It combines artificial intelligence (AI) with relative intelligence (RI) – human logic and reason – and quantum field intelligence (QI), which includes intuitive insight and ethics. In this way, the approach supports the conscious and responsible integration of AI into business processes.

1. Integration of AI and RI

Human logic and reason (RI) complement the technical precision of AI. The 3Q-Approach makes it possible to critically scrutinize AI results and make well-founded decisions.

2. Promotion of ethical responsibility

Intuitive insight (QI) ensures that AI decisions are in line with ethical values and long-term corporate goals.

3. Creation of innovation spaces

The approach does not see AI as a substitute for human creativity, but rather as a reinforcement. It opens up space for innovation and creative solutions that put people at the center.

4. Holistic decision-making processes

The combination of the three forms of intelligence creates decision-making processes that unite technical efficiency, human wisdom and ethical responsibility. This ensures that AI always remains a tool that works in harmony with human values.

The 3Q-Approach: control and harmony in dealing with AI: This model shows how the 3Q-Approach combines artificial intelligence (AI), human logic and reason (RI) and intuitive insight (QI). The focus is on “human control over AI”, in which humans use AI as a tool to harmonize efficiency, creativity and ethical responsibility.

Conclusion: Responsibility, innovation and control in harmony

The 3Q-Approach offers companies not only a way to maintain control over AI, but also a framework for working with AI ethically, creatively and efficiently. In a world where AI is becoming increasingly important, the 3Q-Approach ensures that technological advances do not override human values, but rather reinforce them.

Companies that pursue this approach create a balance between efficiency and responsibility – and thus secure a clear competitive advantage in an increasingly digitalized world.