- From: Paola Di Maio <paoladimaio10@gmail.com>
- Date: Fri, 4 Nov 2022 19:49:00 +0800
- To: Dave Raggett <dsr@w3.org>
- Cc: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAMXe=SoUFuw-BrdPA5+TVrofGgRyDbWzU7SZkxQYxdd=TkN-aA@mail.gmail.com>
Dave KR is very well understood and an established field here is plenty of scope to make your contribution PDM On Fri, Nov 4, 2022 at 7:10 PM Dave Raggett <dsr@w3.org> wrote: > I disagree as most definitions of logic involve symbols, see, e.g. > > https://en.wikipedia.org/wiki/Logic > > You really need to define KR rather than leaving that implicit and > uncertain. > > On 4 Nov 2022, at 10:48, Paola Di Maio <paoladimaio10@gmail.com> wrote: > > Dave, > even the NN you point ot uses logic/KR to figure out there is a mismatch > between the lip movement and the words. I think you are simply confirming > the point > that even ML needs KR > > PDM > > On Fri, Nov 4, 2022 at 6:30 PM Dave Raggett <dsr@w3.org> wrote: > >> >> >> On 3 Nov 2022, at 21:32, Paola Di Maio <paoladimaio10@gmail.com> wrote: >> >> *how to use KR to identify Deepfakes (short answer: by using logic)* >> >> >> That isn’t accurate, as it is possible to train neural networks to spot >> deep fakes by looking for clues that suggest machine generated images and >> video frames, see: >> >> >> https://hai.stanford.edu/news/using-ai-detect-seemingly-perfect-deep-fake-videos >> >> The article notes that this will get harder over time as the generators >> get better. >> >> Logic isn’t needed for this and the KR is implicit in the network >> architecture and training data. >> >> Dave Raggett <dsr@w3.org> >> >> >> >> > Dave Raggett <dsr@w3.org> > > > >
Received on Friday, 4 November 2022 11:51:14 UTC