Hi All
Interesting Canada is so prominent in the Privacy World: https://www.cpomagazine.com/data-protection/ai-predicted-to-take-over-privacy-tech/?mc_cid=704a08192...
Lets just hope, they rid themselves of all bias, ethics and remain lawfully objective?
Due to the lack of swiftness and speed of response.
Regards
Caute_cautim
@Caute_cautim wrote:Hi All
Interesting Canada is so prominent in the Privacy World: https://www.cpomagazine.com/data-protection/ai-predicted-to-take-over-privacy-tech/?mc_cid=704a08192...
Lets just hope, they rid themselves of all bias, ethics and remain lawfully objective?
Due to the lack of swiftness and speed of response.
Regards
Caute_cautim
Canada has had several privacy laws on the books for quite some time. Actually PIPEDA was around long before the EU even thought of GDPR (I think around 2000 is when it was introduced into law).
Some provinces in Canada, wrote their own statues while others chose to follow guidance in PIPEDA. There is also the Privacy Act (which governs how the government can or should use your data). This is coupled with a number of laws around medical data which is why the LifeLabs incident is so interesting.
LifeLabs seem to think they can avoid questions being asked by the Privacy Commissioner.....very interesting to follow. LifeLabs (one of the largest testing facilities in Canada) was hacked in late 2019.
So in Canada, if you are a multi-national company, it becomes a juggling act to stay in tune with:
- the Patriot Act
- GDPR
- PIPEDA
- two laws around medical data
- CCPA
- NY Shield act
--
--- and the list goes on
So a lot of experience and i believe the government are looking at updating some of the current laws to "make it" easier to be compliant.
My nickel canadian
d
@Caute_cautim wrote:...
Lets just hope, they rid themselves of all bias, ethics and remain lawfully objective?
...
Wait, John, you want a privacy function to be rid of all ethics??????
Maybe I misread the intent of your grammar in that sentence?
Craig
@Caute_cautim, By chance were you intending to say "Lets just hope they rid themselves of all bias so as to remain ethical and lawfully objective?". That would be more in line with one of the few "ethic" quotes from the podcast/transcript you cite:
And that outcome defines what is right and wrong, what is ethical and not. And then these three aspects behind it around the data, and the people, and the core algorithms kind of round out an ethical and as unbiased as possible set of technology for our customers.