I'm not sure what the solution is. These tools are very useful, I'm sure, but how can they be used with informed consent from others?

Here an attendee gets to decide on the tool, its use, and the privacy policy enforced. And as the AI is typically unsupervised, there is no way to resolve other than kicking the account or leaving the meeting.

The same consent is typically required for recordings, yes, but there the meeting host typically initiates the recording and manages access to the final video.

If it's reproducible, it sounds like it is based on public sources or other open datasets. If the model "promotes [...] inclusion", then I'm also interested in which public datasets were used and if/how they support this claim.

Also, nice that it was trained in Switzerland!

My hope is that this helps drive the transition to cleaner energy sources, especially given how many opportunities there are, for solar and wind, in the country.

Yes please!

As you were trying to find a domain that minimised the number of corners/crosses in the code, did you consider introducing a few errors that would reduce this number fewer, but could still be corrected by the native error correction in QR codes?

The fact that you made it redirect to your tattoo artist's Instagram account, when THEY scanned it, makes this for me!