Public discourse on artificial intelligence (AI) in agriculture is rarely neutral. The hype of the last two years has led to a certain idealization of AI as the answer to all the challenges of our time, while at the same time there is great uncertainty about its potential impact on all our lives. The need for simple explanations and concrete instructions for action is significant.
In this episode, we discuss fundamental misunderstandings surrounding AIand the current state of international research on the topic. We reflect on what is important for a constructive approach to this new technology and whether future generations might handle it differently. The discussion ranges from the anthropomorphization of technology, which often leads to misjudgments, to a critical examination of the limitations and challengesassociated with AI-driven systems in agricultural operations.
What risks arise when AI systems operate based on faulty data? What responsibility do humans bear in dealing with these technologies? These and other questions are examined from various perspectives to foster a holistic understanding of the complex interrelationships.
Magdalena Waldauer works on the agrifoodTEF project , which aims to support the development of AI and robotics tools with real-world testing environments and reliable data from practical applications. As part of a pan-European network spanning nine countries, the project is designed to enable small and medium-sized enterprises (SMEs) in particular to advance their technologies and improve their reliability.
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If you are interested in the topic discussed by Doz. Andreas Steinwidder and Alfred Pöllinger-Zierler, then please feel free to listen to our podcast:
