In this talk, I explain the significance of the software industry for a country’s economy and how to strengthen it using open source. It is directed at public policy makers and the general public. This is the slide deck of a previously posted video.
In this short video, I explain the significance of the software industry for a country’s economy and how to strengthen it using open source. It is directed at public policy makers and the general public.
In diesem kurzen Video erkläre ich die Bedeutung der Softwareindustrie für die Wirtschaft eines Landes und wie Open-Source-Software diese stärken kann. Es richtet sich an Public-Policy-Maker und alle interessierten Personen.
Die englische Version dieses Videos folgt; die Folien wurden vom FAU Sprachdienst aus dem Englischen ins Deutsche übersetzt (und von mir nachkorrigiert).
I just submitted the following short position statement on how to work with ML / KI techniques in software engineering. This is a statement on using such techniques for the engineering of software, not in the software itself, which is a (not completely, but mostly) separate issue.
ML / KI techniques can be use in software development to assist the human engineer. Properly applied, they can make engineers more productive by helping them focus on understanding and solving the human problem behind the software to be developed (essential complexity) and by freeing them from getting distracted by technical implementation details (accidental complexity).
It is no secret that software is everywhere. No traditional product has remained untouched, whether the product is being produced using software or whether software is an integral part of it. As part of this wave of digitization, established vendors from outside the software industry need to avoid that someone else will reap all the profits from their products. That someone else would be software companies that supply needed components. In particular software platforms can have such network effects that their providers can reach a monopoly position so that dependent vendors who need the platform will face a diminishing profit margin.
I have a strong aversion against letting people drag their feet from being responsible for their actions. I feel particularly strongly about this when delegating work to machines, which are not able to act using an appropriate moral value system. Starting a car and letting an autonomous driving unit take over is one such example: When faced with an impossible situation (run over an old lady or three children or commit suicide), it still has to be the driver’s decision and not a machine’s.
Ever since autonomous driving became a hot topic, I’ve tried to sell to our automotive industry partners the idea of a project to build a moral machine in autonomous driving. My definition of a moral machine (there are others) is: