Author: Prof. Dr. Iris Lorscheid, Vice-Rector Research and Professor of Digital Business and Data Science Computer Science at the University of Europe for Applied Sciences
Our world is complex and challenging, and the problems are likely to become more complex in the future. The world becomes more interconnected and globalized as technology advances, the global population grows, and resources become scarcer. All of this needs achievements in innovations in cybersecurity, sustainability, resource management and more. Hybrid Intelligence is the future because it combines the strengths of humans and machines to solve complex problems that neither humans nor machines can solve on their own.
The concept of “Hybrid Intelligence” was introduced by Dominik Dellermann to describe the collaboration between human intelligence and artificial intelligence (AI) in order to achieve more effective problem-solving and decision-making. The focus is on developing more advanced AI systems that can work with humans in the best possible way.
Together, human and AI can create solutions that neither could achieve alone. By combining the strengths of both, complex problems can be solved, and new insights can be gained faster, more successfully, and more comprehensively than by working individually.
Humans have long understood that collaboration is more effective than individual effort, which has led to our success. The success of a group depends not only on the best and brightest minds but also on effective teamwork and interaction between individuals. With AI as a new team member, the question now is how we can best strengthen each other and find new solutions together.
To ensure responsible and ethical use of AI, it is critical to discuss ethical considerations when working with it. It is important to ensure that AI systems are safe and reliable in order to prevent harm to people and society. AI systems may perpetuate existing social and cultural biases. Transparency in decision-making processes can aid in the development of trust and accountability for the outcomes produced by AI systems. Protecting personal data privacy is critical in order to protect individuals’ rights and autonomy. Establishing accountability for AI decisions entails ensuring a clear chain of responsibility for any negative outcomes. Addressing these concerns is critical for developing beneficial AI systems that can help individuals and society while minimizing potential harm.
AI should be viewed as a tool to assist humans rather than to replace them. Innovations are an opportunity for a better world, and a better life.
AI can help us understand climate patterns and predict weather conditions by analyzing large amounts of data from various sources such as weather satellites, sensors, and historical climate data.
AI can help farmers maximize crop yields while minimizing waste. Farmers, for example, can use AI-powered sensors to monitor soil moisture levels and plans. AI can provide farmers with the information they need to take preventative measures to save their crops from disease or to increase food production efficiency.
The analysis of complex medical images, patient histories and treatment results will help doctors around the world to come to better conclusions and decisions.
Concerns and fears are frequently associated with the introduction of new technologies such as AI. Overcoming these fears requires an open and informed debate focused on the benefits and potential of hybrid intelligence. By educating the public and encouraging open communication between developers, users, and authorities, these worries can be eased.
Change introduces a variety of challenges that require innovations. Innovations, in turn, cause further change. We need to be open for this reoccuring cycle to create new opportunities and to improve the quality of life for many.
AI advancement holds great promise for addressing some of the world’s most pressing issues. Let’s go on an adventure and investigate the possibilities of human-AI interaction in business, education, and our every-day life.
