DID Use Cases for California Privacy Act Amendments

Hey all,

I've spent the last couple of days going through and marking up the California
Consumer Privacy Act of 2018
<https://docs.google.com/document/d/1DvT5TlKHHTtnm43scpfAa1GxML3onx36mhhH2D1S89Y/edit?usp=sharing>
(please
comment and make notes if interested!)
It seems to me that there is a big opportunity for DIDs to perhaps step in
with recommended amendments. Instead of the wrist slap, paternal oversight
and subsequent lobbying and watering down of the bill
<https://www.washingtonpost.com/technology/2018/06/28/california-lawmakers-just-adopted-tough-new-privacy-rules-targeting-facebook-google-other-tech-giants/?noredirect=on&utm_term=.1b54526333e3>perhaps
we can step in with more nuanced vocabulary, articulated with our use
cases.

 Big tech is expecting some sort of legislation, they will destroy it as
best they can over the next two years but everyone is waking up to the
nightmare of our current third party powered personal data eco-system.

If I may be so bold, it seems to me that DIDs, DKMS, SSI and this
credentials group as a whole have the best chance at presenting a pragmatic
solutions based approach. That helps industry comply with consent,
specifically around minors. In addition to consent, portability measures
mean that we need to establish a standard taxonomy, the categories that are
referred to often in the bill, must be clearly defined. Transparency can't
follow our currently modeled information act as the right to confuse and
overwhelm. Since our working group is finalizing our use cases soon and
this bill is begging for amendments and definitions perhaps we can tailor
our use cases to this bill and include pieces of it as firm evidence of a
need for this solution.

This is outside of the scope of the group but I'm interested to know your
opinions. It seems to me the most pressing call to action in the form of
regulation is a differentiation between data sciences, specifically sensing
sciences. It seems to have a chance at long term compliance of laws such as
these, we must taxonomize all human data streams, challenge some, shut some
down, question their reason for existing, inform the public of them, choose
with discretion the right sensing streams and then ensure that the data
formats for each become standards.




*Samantha Mathews**-------------------------------------------------------*
*Co-Founder & CEO, Venn.Agency*
*The best way to predict the future is to build it.*
*Phone:* 323-740-9425  Linkedin
*-------------------------------------------------------*
*samantha@venn.agency <samantha@venn.agency>*