Everything without humans? At the moment, of course, it is not even remotely clear what our digital future will look like with increasingly intelligent machines. On the one hand, there are extreme concerns about the takeover by so-called superintelligents (robots), especially since there are hardly any moral control bodies. On the other hand, there is a very high probability that humanity could be significantly better off with the new technologies.
Not only will diseases be able to be corrected more quickly, the entire field of medicine will be completely transformed. We will see the complete personalization of medicine emerge - DNA services as a service. Based on our fully decoded, personal genome and with the help of AI and machine learning-based models, organs will be either repaired or completely bc data replaced if necessary. If visionaries like Dr. Ray Kurzweil are to be believed, artificial organs and replacements (blood, tendons, bones) will find their way into many areas of the human organism. Our blood will first be enriched and then replaced by nanoparticle-based bots. Here is a real example of a white blood cell tracking and ingesting a foreign organism. This is something that will be taken over by nanobots in the future.
AI and Machine Learning series
How can German companies still become digital masters? How can this be initiated forward using the means of corporate communications? Why do we need less rather than more information? How can decision-makers and experts develop pragmatic approaches that are actually feasible? - These are the questions of my focus on digitalization this autumn here at PR-Doktor. In dealing with the topic, I realized how much catching up I still had to do in terms of knowledge. That's why I asked a machine learning expert to answer my most burning questions. The huge amount of answers, information and examples has resulted in this three-part series. - Kerstin Hoffmann
Part 1: What decision-makers need to know about artificial intelligence and machine learning
Part 2: Danger in the making? The future with AI and machine learning (this article)
Part 3: AI and Machine Learning in Marketing and Corporate Communications