๐ก๐ฎ ๐๐ผ๐น๐น – ๐ฑ๐ฎ๐ ๐ต๐ฎ๐๐๐ฒ ๐ถ๐ฐ๐ต ๐บ๐ถ๐ฟ ๐๐ผ ๐ป๐ถ๐ฐ๐ต๐ ๐๐ผ๐ฟ๐ด๐ฒ๐๐๐ฒ๐น๐น๐, ๐ฎ๐น๐ ๐๐ถ๐ฟ ๐ฑ๐ถ๐ฒ ๐ฑ๐ถ๐ฒ๐-๐๐ฒ๐บ๐ฒ๐๐๐ฟ๐ถ๐ด๐ฒ ๐๐ฒ๐ฒ๐ฑ๐ฏ๐ฎ๐ฐ๐ธ ๐ฅ๐๐ป๐ฑ๐ฒ ๐ด๐ฒ๐๐๐ฎ๐ฟ๐๐ฒ๐ ๐ต๐ฎ๐ฏ๐ฒ๐ป ๐!
One student commented that the current topics and developments (technical, ethical, political, legal, etc.) had always “dragged him down” in many respects.
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.
Of course that was the case. But…
… ๐๐๐บ ๐๐ถ๐ป๐ป๐๐ผ๐น๐น๐ฒ๐ป ๐๐ถ๐ป๐๐ฎ๐๐ ๐๐ผ๐ป ๐๐ ๐ด๐ฒ๐ต๐ผฬ๐ฟ๐ ๐ป๐๐ป ๐บ๐ฎ๐น ๐ฎ๐๐ฐ๐ต, ๐ฑ๐ฎ๐๐ ๐๐ถ๐ฟ ๐ฑ๐ถ๐ฒ ๐ฅ๐ฎ๐ต๐บ๐ฒ๐ป๐ฏ๐ฒ๐ฑ๐ถ๐ป๐ด๐๐ป๐ด๐ฒ๐ป ๐ธ๐ฒ๐ป๐ป๐ฒ๐ป ๐๐ป๐ฑ ๐๐ป๐ ๐ฑ๐ฎ๐บ๐ถ๐ ๐ฎ๐๐๐ฒ๐ถ๐ป๐ฎ๐ป๐ฑ๐ฒ๐ฟ๐๐ฒ๐๐๐ฒ๐ป. ๐จ๐ป๐ฑ๐ฑ ๐๐ผ๐๐ผ๐ต๐น ๐ถ๐บ ๐ฆ๐๐๐ฑ๐ถ๐๐บ, ๐ถ๐ป ๐จ๐ป๐๐ฒ๐ฟ๐ป๐ฒ๐ต๐บ๐ฒ๐ป, ๐ฎ๐น๐ ๐ฎ๐๐ฐ๐ต ๐ถ๐ป ๐ฑ๐ฒ๐ฟ ๐๐ฒ๐๐ฒ๐น๐น๐๐ฐ๐ต๐ฎ๐ณ๐ ๐ด๐ถ๐ฏ๐ ๐ฒ๐ ๐ฑ๐ฎ ๐น๐ฒ๐ถ๐ฑ๐ฒ๐ฟ ๐บ๐ฒ๐ต๐ฟ ๐๐ฟ๐ฎ๐ด๐ฒ๐ป ๐ฎ๐น๐ ๐๐ป๐๐๐ผ๐ฟ๐๐ฒ๐ป:
– ๐๐ป๐๐ฒ๐๐๐ถ๐๐ถ๐ผ๐ป๐ฒ๐ป are made “elsewhere”, but not here. This means that AI is also being developed “elsewhere”
– ๐ฅ๐ฒ๐ฐ๐ต๐๐น๐ถ๐ฐ๐ต๐ฒ ๐ฅ๐ฎ๐ต๐บ๐ฒ๐ป๐ฏ๐ฒ๐ฑ๐ถ๐ป๐ด๐๐ป๐ด๐ฒ๐ป are repealed in the USA, the EU (still) upholds the AI Act, but the bottom line is that it is all very unsatisfactory
– ๐๐ฎ๐๐ฒ๐ป ๐๐ป๐ฑ ๐๐ฎ๐๐ฒ๐ป๐๐ฐ๐ต๐๐๐ are unclear and in many cases not addressed
– AI systems are not “๐ฒ๐ฟ๐ธ๐น๐ฎฬ๐ฟ๐ฏ๐ฎ๐ฟ”, 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 ๐ช๐ถ๐น๐ฑ๐๐๐ฐ๐ต๐ ๐ฎ๐ป “๐๐-๐ช๐ฒ๐ฟ๐ธ๐๐ฒ๐๐ด๐ฒ๐ป” has emerged, which is almost unmanageable for users and developers
– ๐๐๐ฑ๐ด๐ฒ๐- ๐๐ป๐ฑ ๐ฃ๐ฟ๐ผ๐๐ฒ๐๐-๐ฅ๐ฒ๐๐๐ฟ๐ถ๐ธ๐๐ถ๐ผ๐ป๐ฒ๐ป often lead to AI not being used effectively
And yes, we had to discuss one of these topics in almost every lecture. That can be a real “downer”.
I’m sorry about that – um. No, I’m not!
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.
๐๐ ๐ต๐ถ๐น๐ณ๐ ๐ป๐๐ฟ ๐ป๐ถ๐ฐ๐ต๐. ๐๐ ๐ถ๐๐ ๐ต๐ถ๐ฒ๐ฟ, ๐๐ ๐๐ถ๐ฟ๐ฑ ๐ฏ๐น๐ฒ๐ถ๐ฏ๐ฒ๐ป, ๐ฑ๐ถ๐ฒ ๐ฅ๐ฎ๐ต๐บ๐ฒ๐ป๐ฏ๐ฒ๐ฑ๐ถ๐ป๐ด๐๐ป๐ด๐ฒ๐ป ๐ฒ๐ฏ๐ฒ๐ป๐ณ๐ฎ๐น๐น๐ – ๐ฑ๐ฎ๐ป๐ป ๐น๐ถ๐ฒ๐ฏ๐ฒ๐ฟ ๐บ๐ถ๐ ๐ผ๐ณ๐ณ๐ฒ๐ป๐ฒ๐ป ๐๐๐ด๐ฒ๐ป ๐๐ป๐ฑ ๐ธ๐น๐ฎ๐ฟ๐ฒ๐บ ๐ฉ๐ฒ๐ฟ๐๐๐ฎ๐ป๐ฑ ๐ฑ๐ฎ๐ ๐๐ฒ๐๐๐ฒ ๐ฑ๐ฎ๐ฟ๐ฎ๐๐ ๐บ๐ฎ๐ฐ๐ต๐ฒ๐ป.
Don’t put on a show, don’t talk nonsense! Don’t raise false hopes. Instead, develop sensible and clean solutions!
