Once
upon a time, I had my students build a Computer Security wiki. This
one inspires me to do it again!
Jason
Cronk has
announced a new Privacy
Wiki that
you’ll want to bookmark. From
Jason’s announcement:
And now for something different: a return to #privacy. I’d like to soft-announce the Privacy Wiki, a wiki dedicated to privacy laws and events. https://lnkd.in/dqiVAC4 Currently the wiki has 78 US Federal laws, over 200 US State laws and over 100 articles on privacy events. It is organized around the Solove taxonomy and other aspects of #privacybydesign. While most state laws have been entered, we’re looking for state legal editors to update them and keep them current. If you’re interested please contact our Chief Legal Editor Ece Gumusel, LL.M. on LinkedIn or through https://lnkd.in/d6q5d2Q. Currently we have NO state legal editor volunteers.
Confusing
Congress?
Big
tech to Congress: Your move on facial recognition
… While
the announcements are at least partially symbolic — Microsoft says
it already wasn't selling those tools to police departments — the
calls for congressional action mark an increasingly offensive posture
for an industry that has faced heat from its own employees for
dealing out tools that critics say facilitate mass surveillance and
racial profiling by cops.
… Other
critics have noted the announcements
don't encompass the full range of cutting-edge tools that
the companies supply to law enforcement agencies, including home
surveillance systems that lawmakers have sounded the alarm on.
The moves could also create an opening for lesser-known tech
companies that remain big sellers of facial recognition services to
police agencies. They include Clearview AI, a U.S. company that
allows
hundreds of law enforcement agencies to search for individuals
from
a database of billions of photos scraped from online sources.
… "I
would love to be a fly on the wall at the board meeting where
Amazon's government affairs team explains why it spent millions of
dollars lobbying against a moratorium that it then decided to impose
on itself," said the aide.
Rethink!
If we can’t trust them, should we think of them as AP (artificial
politicians)?
In
AI We Trust: Ethics, Artificial Intelligence, and Reliability
One
of the main difficulties in assessing artificial intelligence (AI) is
the tendency for people to anthropomorphise it. This becomes
particularly problematic when we attach human moral activities to AI.
For example, the European Commission’s High-level Expert Group on
AI (HLEG) have adopted the position that we should establish a
relationship of trust with AI and should cultivate trustworthy AI
(HLEG AI Ethics guidelines for trustworthy AI, 2019, p. 35). Trust
is one of the most important and defining activities in human
relationships, so proposing that AI should be trusted, is a very
serious claim. This paper
will show that AI cannot be something that has the capacity to be
trusted according to the most prevalent definitions of
trust because it does not possess emotive states or can be held
responsible for their actions—requirements of the affective and
normative accounts of trust. While AI meets all of the requirements
of the rational account of trust, it will be shown that this is not
actually a type of trust at all, but is instead, a form of reliance.
Ultimately, even complex machines such as AI should not be viewed as
trustworthy as this undermines the value of interpersonal trust,
anthropomorphises AI, and diverts responsibility from those
developing and using them.
An
interesting question.
These
engineers are training AI to forge handwriting – why?
Researchers
in Germany are developing a new artificial intelligence that can
precisely imitate any kind of handwriting you feed it.
Rather
than being intended for AI-enhanced forgeries, [Sure.
Bob] the technology is initially intended to help people
who can no longer write because of injury or some other impairment.
… It's not
the first time developers have tried to digitise human handwriting,
and fonts available online already allow you to imitate the writing
of people like Donald Trump and Greta Thunberg.
However, the
system promises a far more sophisticated level of imitation, and
rather than simply imitating individual letters, the new method works
on the basis of generating entire lines of text, just as a human
might.
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