Artificial Intelligence and Computational Creativity



In recent years, the term Artificial Artificial intelligence has taken on a new meaning. While the original idea of AI is still to understand and artificially simulate human (cognitive) intelligence, the applications of AI have become increasingly important in recent years. Unfortunately, all too often, AI is equated with Machine Learning and/or categorized as a pure application area in connection with data masses (Data Science). Of course this is wrong. Instead, cognitive aspects are still the foundation. There is a real sense of optimism these days: more and more new AI companies are being founded, governments, industry and academia are investing in research and development projects and in targeted knowledge transfer, and with slogans like "AI for the Social Good" or "AI for Humans" we are all prepared for future developments. This is undoubtedly a great development, but on the other hand, the benefits of AI also mean a responsibility that must be fulfilled. AI has to be for the social good and it has to be explainable such that citizens and the society can understand it. If we want to use AI, we must first understand how it works. And if we want to live with AI, we must have an AI that fits in our world. It is clear that we can only achieve this if we move towards each other. This concerns not only the gaining of acceptance of new techniques but also an openness and transparency of AI systems (Explainability) and an ethical-moral co-exhibitor (Responsibility and Ethics).