Updates on locations and AI training discussions

Hi.
As noted in the last meeting: 
https://w3id.org/dpv/meetings/meeting-2025-02-20, here are the updates 
and examples.

# AI training
https://github.com/w3c/dpv/issues/82#issuecomment-2681627431

- ideas on how to model 'training' as 'processing of data'
- where training takes place e.g. within device
- how to state input/output of training
- how to reuse existing concepts in AI extension
- how to state training in a notice
- how to indicate training is based on consent

# Subjective locations e.g. home
https://github.com/w3c/dpv/issues/209#issuecomment-2677170007
see https://harshp.com/dev/dpv/locations-04 for examples

tested for following use-cases

- Specify location as Home which is a Private and Personal place, and 
which itself may have more information such as postal addresses.
- Specify location as Work which is Private place, and which can have 
multiple offices all of which would come under it.
- Specify location as Device where some information is stored in virtual 
folders within a specific device's storage, and which is managed by the 
User.
- Specify location as App where some information is stored within a 
software and is managed by that software. Additionally, specify that the 
app's storage is within the device storage, but is not accessible to the 
user.
- Specify location as Browser for Cookies which are set by visiting the 
internet by Service Provider and Third Parties. These are accessible to 
the user, but are set by the websites. Here the distinction is that the 
user can see and interact with the cookies, but they do not have control 
over the 'location' beyond this.
- Specify location as asked by a Browser or App where the user can 
specify their Current Location or their Local Area or City or Region or 
Country.
- Specify location as a shop which is open to the public and is 
monitored by a CCTV.
- Specify location as a shopping mall which has common areas for sitting 
etc. and shops which are privately owned but can be visited by the 
public, and admin areas which are not open to the public.

# Inverted locations e.g. non-EU

example https://github.com/w3c/dpv/issues/208#issuecomment-2656309802
modelling considerations https://harshp.com/dev/dpv/locations-02

Regards,
-- 
---
Harshvardhan J. Pandit, Ph.D
Assistant Professor
ADAPT Centre, Dublin City University
https://harshp.com/

Received on Tuesday, 25 February 2025 11:30:15 UTC