{"id":1047,"date":"2025-01-26T20:42:00","date_gmt":"2025-01-26T20:42:00","guid":{"rendered":"https:\/\/www.stefan-wagenpfeil.de\/unkategorisiert\/machine-learning-lectures-a-downer\/"},"modified":"2025-02-17T20:42:51","modified_gmt":"2025-02-17T20:42:51","slug":"machine-learning-lectures-a-downer","status":"publish","type":"post","link":"https:\/\/www.stefan-wagenpfeil.de\/en\/latest-news\/machine-learning-lectures-a-downer\/","title":{"rendered":"Machine learning lectures – a “downer”!"},"content":{"rendered":"\n

\ud835\udde1\ud835\uddee \ud835\ude01\ud835\uddfc\ud835\uddf9\ud835\uddf9 – \ud835\uddf1\ud835\uddee\ud835\ude00 \ud835\uddf5\ud835\uddee\ud835\ude01\ud835\ude01\ud835\uddf2 \ud835\uddf6\ud835\uddf0\ud835\uddf5 \ud835\uddfa\ud835\uddf6\ud835\uddff \ud835\ude00\ud835\uddfc \ud835\uddfb\ud835\uddf6\ud835\uddf0\ud835\uddf5\ud835\ude01 \ud835\ude03\ud835\uddfc\ud835\uddff\ud835\uddf4\ud835\uddf2\ud835\ude00\ud835\ude01\ud835\uddf2\ud835\uddf9\ud835\uddf9\ud835\ude01, \ud835\uddee\ud835\uddf9\ud835\ude00 \ud835\ude04\ud835\uddf6\ud835\uddff \ud835\uddf1\ud835\uddf6\ud835\uddf2 \ud835\uddf1\ud835\uddf6\ud835\uddf2\ud835\ude00-\ud835\ude00\ud835\uddf2\ud835\uddfa\ud835\uddf2\ud835\ude00\ud835\ude01\ud835\uddff\ud835\uddf6\ud835\uddf4\ud835\uddf2 \ud835\uddd9\ud835\uddf2\ud835\uddf2\ud835\uddf1\ud835\uddef\ud835\uddee\ud835\uddf0\ud835\uddf8 \ud835\udde5\ud835\ude02\ud835\uddfb\ud835\uddf1\ud835\uddf2 \ud835\uddf4\ud835\uddf2\ud835\ude00\ud835\ude01\ud835\uddee\ud835\uddff\ud835\ude01\ud835\uddf2\ud835\ude01 \ud835\uddf5\ud835\uddee\ud835\uddef\ud835\uddf2\ud835\uddfb \ud83d\ude02!<\/p>\n\n

One student commented that the current topics and developments (technical, ethical, political, legal, etc.) had always “dragged him down” in many respects.<\/p>\n\n

The expectation of the topic of “machine learning and AI” was probably something between cool, modern, innovative, a bit of magic and computer scientist woodoo. Great tools, APIs, solutions, everything works automatically, the AI will sort it out. <\/p>\n\n

Of course that was the case. But… <\/p>\n\n

… \ud835\ude07\ud835\ude02\ud835\uddfa \ud835\ude00\ud835\uddf6\ud835\uddfb\ud835\uddfb\ud835\ude03\ud835\uddfc\ud835\uddf9\ud835\uddf9\ud835\uddf2\ud835\uddfb \ud835\uddd8\ud835\uddf6\ud835\uddfb\ud835\ude00\ud835\uddee\ud835\ude01\ud835\ude07 \ud835\ude03\ud835\uddfc\ud835\uddfb \ud835\uddde\ud835\udddc \ud835\uddf4\ud835\uddf2\ud835\uddf5\ud835\uddfc\u0308\ud835\uddff\ud835\ude01 \ud835\uddfb\ud835\ude02\ud835\uddfb \ud835\uddfa\ud835\uddee\ud835\uddf9 \ud835\uddee\ud835\ude02\ud835\uddf0\ud835\uddf5, \ud835\uddf1\ud835\uddee\ud835\ude00\ud835\ude00 \ud835\ude04\ud835\uddf6\ud835\uddff \ud835\uddf1\ud835\uddf6\ud835\uddf2 \ud835\udde5\ud835\uddee\ud835\uddf5\ud835\uddfa\ud835\uddf2\ud835\uddfb\ud835\uddef\ud835\uddf2\ud835\uddf1\ud835\uddf6\ud835\uddfb\ud835\uddf4\ud835\ude02\ud835\uddfb\ud835\uddf4\ud835\uddf2\ud835\uddfb \ud835\uddf8\ud835\uddf2\ud835\uddfb\ud835\uddfb\ud835\uddf2\ud835\uddfb \ud835\ude02\ud835\uddfb\ud835\uddf1 \ud835\ude02\ud835\uddfb\ud835\ude00 \ud835\uddf1\ud835\uddee\ud835\uddfa\ud835\uddf6\ud835\ude01 \ud835\uddee\ud835\ude02\ud835\ude00\ud835\uddf2\ud835\uddf6\ud835\uddfb\ud835\uddee\ud835\uddfb\ud835\uddf1\ud835\uddf2\ud835\uddff\ud835\ude00\ud835\uddf2\ud835\ude01\ud835\ude07\ud835\uddf2\ud835\uddfb. \ud835\udde8\ud835\uddfb\ud835\uddf1\ud835\uddf1 \ud835\ude00\ud835\uddfc\ud835\ude04\ud835\uddfc\ud835\uddf5\ud835\uddf9 \ud835\uddf6\ud835\uddfa \ud835\udde6\ud835\ude01\ud835\ude02\ud835\uddf1\ud835\uddf6\ud835\ude02\ud835\uddfa, \ud835\uddf6\ud835\uddfb \ud835\udde8\ud835\uddfb\ud835\ude01\ud835\uddf2\ud835\uddff\ud835\uddfb\ud835\uddf2\ud835\uddf5\ud835\uddfa\ud835\uddf2\ud835\uddfb, \ud835\uddee\ud835\uddf9\ud835\ude00 \ud835\uddee\ud835\ude02\ud835\uddf0\ud835\uddf5 \ud835\uddf6\ud835\uddfb \ud835\uddf1\ud835\uddf2\ud835\uddff \ud835\uddda\ud835\uddf2\ud835\ude00\ud835\uddf2\ud835\uddf9\ud835\uddf9\ud835\ude00\ud835\uddf0\ud835\uddf5\ud835\uddee\ud835\uddf3\ud835\ude01 \ud835\uddf4\ud835\uddf6\ud835\uddef\ud835\ude01 \ud835\uddf2\ud835\ude00 \ud835\uddf1\ud835\uddee \ud835\uddf9\ud835\uddf2\ud835\uddf6\ud835\uddf1\ud835\uddf2\ud835\uddff \ud835\uddfa\ud835\uddf2\ud835\uddf5\ud835\uddff \ud835\uddd9\ud835\uddff\ud835\uddee\ud835\uddf4\ud835\uddf2\ud835\uddfb \ud835\uddee\ud835\uddf9\ud835\ude00 \ud835\uddd4\ud835\uddfb\ud835\ude01\ud835\ude04\ud835\uddfc\ud835\uddff\ud835\ude01\ud835\uddf2\ud835\uddfb: <\/p>\n\n

– \ud835\udddc\ud835\uddfb\ud835\ude03\ud835\uddf2\ud835\ude00\ud835\ude01\ud835\uddf6\ud835\ude01\ud835\uddf6\ud835\uddfc\ud835\uddfb\ud835\uddf2\ud835\uddfb are made “elsewhere”, but not here. This means that AI is also being developed “elsewhere”– \ud835\udde5\ud835\uddf2\ud835\uddf0\ud835\uddf5\ud835\ude01\ud835\uddf9\ud835\uddf6\ud835\uddf0\ud835\uddf5\ud835\uddf2 \ud835\udde5\ud835\uddee\ud835\uddf5\ud835\uddfa\ud835\uddf2\ud835\uddfb\ud835\uddef\ud835\uddf2\ud835\uddf1\ud835\uddf6\ud835\uddfb\ud835\uddf4\ud835\ude02\ud835\uddfb\ud835\uddf4\ud835\uddf2\ud835\uddfb are repealed in the USA, the EU (still) upholds the AI Act, but the bottom line is that it is all very unsatisfactory– \ud835\uddd7\ud835\uddee\ud835\ude01\ud835\uddf2\ud835\uddfb \ud835\ude02\ud835\uddfb\ud835\uddf1 \ud835\uddd7\ud835\uddee\ud835\ude01\ud835\uddf2\ud835\uddfb\ud835\ude00\ud835\uddf0\ud835\uddf5\ud835\ude02\ud835\ude01\ud835\ude07 are unclear and in many cases not addressed– AI systems are not “\ud835\uddf2\ud835\uddff\ud835\uddf8\ud835\uddf9\ud835\uddee\u0308\ud835\uddff\ud835\uddef\ud835\uddee\ud835\uddff”, i.e.h. algorithmic methods can no longer be used to prove \/ evaluate, understand whether the results are correct at all and how they came about– a true \ud835\uddea\ud835\uddf6\ud835\uddf9\ud835\uddf1\ud835\ude04\ud835\ude02\ud835\uddf0\ud835\uddf5\ud835\ude00 \ud835\uddee\ud835\uddfb “\ud835\uddde\ud835\udddc-\ud835\uddea\ud835\uddf2\ud835\uddff\ud835\uddf8\ud835\ude07\ud835\uddf2\ud835\ude02\ud835\uddf4\ud835\uddf2\ud835\uddfb” has emerged, which is almost unmanageable for users and developers– \ud835\uddd5\ud835\ude02\ud835\uddf1\ud835\uddf4\ud835\uddf2\ud835\ude01- \ud835\ude02\ud835\uddfb\ud835\uddf1 \ud835\udde3\ud835\uddff\ud835\uddfc\ud835\ude07\ud835\uddf2\ud835\ude00\ud835\ude00-\ud835\udde5\ud835\uddf2\ud835\ude00\ud835\ude01\ud835\uddff\ud835\uddf6\ud835\uddf8\ud835\ude01\ud835\uddf6\ud835\uddfc\ud835\uddfb\ud835\uddf2\ud835\uddfb often lead to AI not being used effectively <\/p>\n\n

And yes, we had to discuss one of these topics in almost every lecture. That can be a real “downer”. <\/p>\n\n

I’m sorry about that – um. No, I’m not! <\/p>\n\n

Because only if we know and accept the framework conditions can we design meaningful AI or machine learning applications and start working our magic with all our computer science goodies. It’s understandable that the current global and geopolitical situation can sometimes “get you down” when it comes to AI. <\/p>\n\n

\ud835\uddd8\ud835\ude00 \ud835\uddf5\ud835\uddf6\ud835\uddf9\ud835\uddf3\ud835\ude01 \ud835\uddfb\ud835\ude02\ud835\uddff \ud835\uddfb\ud835\uddf6\ud835\uddf0\ud835\uddf5\ud835\ude01. \ud835\uddde\ud835\udddc \ud835\uddf6\ud835\ude00\ud835\ude01 \ud835\uddf5\ud835\uddf6\ud835\uddf2\ud835\uddff, \ud835\uddde\ud835\udddc \ud835\ude04\ud835\uddf6\ud835\uddff\ud835\uddf1 \ud835\uddef\ud835\uddf9\ud835\uddf2\ud835\uddf6\ud835\uddef\ud835\uddf2\ud835\uddfb, \ud835\uddf1\ud835\uddf6\ud835\uddf2 \ud835\udde5\ud835\uddee\ud835\uddf5\ud835\uddfa\ud835\uddf2\ud835\uddfb\ud835\uddef\ud835\uddf2\ud835\uddf1\ud835\uddf6\ud835\uddfb\ud835\uddf4\ud835\ude02\ud835\uddfb\ud835\uddf4\ud835\uddf2\ud835\uddfb \ud835\uddf2\ud835\uddef\ud835\uddf2\ud835\uddfb\ud835\uddf3\ud835\uddee\ud835\uddf9\ud835\uddf9\ud835\ude00 – \ud835\uddf1\ud835\uddee\ud835\uddfb\ud835\uddfb \ud835\uddf9\ud835\uddf6\ud835\uddf2\ud835\uddef\ud835\uddf2\ud835\uddff \ud835\uddfa\ud835\uddf6\ud835\ude01 \ud835\uddfc\ud835\uddf3\ud835\uddf3\ud835\uddf2\ud835\uddfb\ud835\uddf2\ud835\uddfb \ud835\uddd4\ud835\ude02\ud835\uddf4\ud835\uddf2\ud835\uddfb \ud835\ude02\ud835\uddfb\ud835\uddf1 \ud835\uddf8\ud835\uddf9\ud835\uddee\ud835\uddff\ud835\uddf2\ud835\uddfa \ud835\udde9\ud835\uddf2\ud835\uddff\ud835\ude00\ud835\ude01\ud835\uddee\ud835\uddfb\ud835\uddf1 \ud835\uddf1\ud835\uddee\ud835\ude00 \ud835\uddd5\ud835\uddf2\ud835\ude00\ud835\ude01\ud835\uddf2 \ud835\uddf1\ud835\uddee\ud835\uddff\ud835\uddee\ud835\ude02\ud835\ude00 \ud835\uddfa\ud835\uddee\ud835\uddf0\ud835\uddf5\ud835\uddf2\ud835\uddfb. <\/p>\n\n

Don’t put on a show, don’t talk nonsense! Don’t raise false hopes. Instead, develop sensible and clean solutions! <\/p>\n\n

\"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

\ud835\udde1\ud835\uddee \ud835\ude01\ud835\uddfc\ud835\uddf9\ud835\uddf9 – \ud835\uddf1\ud835\uddee\ud835\ude00 \ud835\uddf5\ud835\uddee\ud835\ude01\ud835\ude01\ud835\uddf2 \ud835\uddf6\ud835\uddf0\ud835\uddf5 \ud835\uddfa\ud835\uddf6\ud835\uddff \ud835\ude00\ud835\uddfc \ud835\uddfb\ud835\uddf6\ud835\uddf0\ud835\uddf5\ud835\ude01 \ud835\ude03\ud835\uddfc\ud835\uddff\ud835\uddf4\ud835\uddf2\ud835\ude00\ud835\ude01\ud835\uddf2\ud835\uddf9\ud835\uddf9\ud835\ude01, \ud835\uddee\ud835\uddf9\ud835\ude00 \ud835\ude04\ud835\uddf6\ud835\uddff \ud835\uddf1\ud835\uddf6\ud835\uddf2 \ud835\uddf1\ud835\uddf6\ud835\uddf2\ud835\ude00-\ud835\ude00\ud835\uddf2\ud835\uddfa\ud835\uddf2\ud835\ude00\ud835\ude01\ud835\uddff\ud835\uddf6\ud835\uddf4\ud835\uddf2 \ud835\uddd9\ud835\uddf2\ud835\uddf2\ud835\uddf1\ud835\uddef\ud835\uddee\ud835\uddf0\ud835\uddf8 \ud835\udde5\ud835\ude02\ud835\uddfb\ud835\uddf1\ud835\uddf2 \ud835\uddf4\ud835\uddf2\ud835\ude00\ud835\ude01\ud835\uddee\ud835\uddff\ud835\ude01\ud835\uddf2\ud835\ude01 \ud835\uddf5\ud835\uddee\ud835\uddef\ud835\uddf2\ud835\uddfb \ud83d\ude02! 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