Harald KlinkeThe current paradigm shift is not towards “artificial intelligence”, but away from a focus on rule-based algorithms.
Artificial intelligence (#AI) has been a hot topic for many years, but the current paradigm shift is not necessarily one towards AI as a whole. Instead, there is a growing recognition that rule-based algorithms, which have been the foundation of many traditional computer systems, have limitations and may not be sufficient to solve more complex problems.
Hence, there is a shift towards a new phase where systems are built using more advanced machine learning techniques such as deep learning, reinforcement learning, and natural language processing. These techniques allow systems to learn from data and experience, rather than relying solely on pre-defined rules. This shift is also accompanied by an increased focus on ethical considerations, transparency, and explainability of AI systems, as they become more integrated into our daily lives.