samstag
haha sehr lustig. habe heute diese email bekommen von einer höchst kreativen und offensichtlich gefälschten absenderadresse:
From: deinauto@vordeinem.haus[…]Viewing entries by
peter purgathofer
@viennawriter@literatur.social today recorded a conversation with me for their podcast (link will be supplied), in our conversation, i followed one of those thought-rabbits that tend to pop up down it’s hole. the result looked promising enough to write a short blog about the aesthetics of generating media.
this starts at a point where a colleague, a couple of weeks ago, asked my about an effect they observed. when they generated some text with chatGPT, they were always impressed with the result; when they read the same text two days later, they found it boring, bland, and disappointing. they asked my if i had experienced that effect, and if i shared it.
we have acquired – for better or worse – a reputation for experimenting with the online systems that support teaching and learning at the university level. over the fifteen years, we explored new forms of using learning management systems to change teaching and learning. we not only worked on this problem, we also […]
after a short period of neglecting my blog (mostly because of easter, but that is not the entire truth) i feel another blog post coming up. [click to continue]
I’ve been reading a lot about computational thinking (CT) recently. This comes on the one hand from CT being a chapter in the ways of thinking in informatics course, on the other hand from questions that derive from the recent discussions about ChatGPT. (click for more)
In a faculty workshop on ChatGPT, we collected a list of ethical aspects of the use of ChatGPT in teaching (i.e. asking students to use ChatGPT) and in academic practice (programming, writing, etc.). This is the first version of the list we came up with, augmented with references by me. I would kindly ask you to use the comments (or @peterpur@hci.social) to annotate it and/or suggest additional items. (click for more)
Just before the weekend, I stumbled over this article: Algorithms That Adjust for Worker Race, Gender Still Show Biases.
There are a couple of obvious questions that the title alone provokes: (click for more)
I remember distinctly when I noticed for the first time that certain prominent senior HCI researchers, who are invited all over again, tell the same stories and say the same things again and again. I can understand that this is an interplay between what is expected of them and what they can deliver. Still, I resolved that I would avoid it.