Doubtlessly, A.I. is challenging, as is any disruptive technology.<\/strong><\/p>\n\n\n\n A.I. can disrupt on steroids. It\u2019s not just about automation \u2015 doing something with less effort. It\u2019s also about autonomization \u2015 deciding based on a self-made strategy. [Note that this differs from autonomation or \u2018intelligent automation\u2019 \u2015 automation with a human touch.]<\/p>\n\n\n\n Due to the autonomization, A.I. can evolve toward performing larger sequential tasks with many different elements. In other words: it can not only let people do their jobs better. It can, to some degree, also do their jobs better.<\/p>\n\n\n\n No science fiction, soon science fact to a huge degree<\/strong><\/p>\n\n\n\n We can be confident of many considerable advancements in the near future, even if only based on today\u2019s core technologies, with cognitive overhang drizzling down soon. Moreover, there surely will be more core advancements.<\/p>\n\n\n\n Therefore, we need to think about many questions. The answers are urgently needed.<\/p>\n\n\n\n So, pause the whole thing for a while?<\/strong><\/p>\n\n\n\n For instance, as has recently been asked by the Future of Life Institute<\/a>. Note that they don\u2019t request a stop on the whole A.I. endeavor but mainly on the giant black box technologies (*) that are newsworthy nowadays. Who hasn\u2019t heard of Chat-GPT?<\/p>\n\n\n\n