You
knew this, right? Will it change under CCPA?
The
California DMV Is Making $50M a Year Selling Drivers’ Personal
Information
… DMVs
across the country are selling data that drivers are required to
provide to the organization in order to obtain a license. This
information includes names, physical addresses, and car registration
information. California’s sales come from a state which generally
scrutinizes
privacy to a higher degree than
the rest of the country.
Hacking
AI. (Huge volumes of data, pointing in all directions. Add a small
volume that points to the “answer” you want.)
Tiny
alterations in training data can introduce "backdoors" into
machine learning models
… The
attack is related to adversarial
examples,
a class of attacks that involve probing a machine-learning model to
find "blind spots" -- very small changes (usually
imperceptible to humans) that cause machine learning classifiers'
accuracy to shelve off rapidly (for example, a small change to a
model of a gun can
make an otherwise reliable classifier think it's looking at a
helicopter ).
For
my students. (Not sure why a search on my school email says I use it
in Columbia.)
Personal
Email Security Guide
Everyone
uses email, it’s incredibly useful, and you can’t sign-up for
accounts or do much of anything online without one. However, email is
still a hacker’s favorite route to attacking a target, because most
users don’t bother to secure
their accounts.
… Stay
Safe: Make sure to double-check the sender’s email address and
domain name for signs of forgery or misspellings. Reputable
businesses and banks will never ask for personal and sensitive
information via email. If a message asks for your password, credit
card details or social security number, that’s a phishing email.
The most basic step to do in such an uncertain situation is to use
reverse lookup service to
find out more information about sender.
Suggesting
that regulators are beginning to understand search algorithms?
Google
Will Restrict Sharing of User Data for Google Ads Under EU Privacy
Pressure
Google
is taking yet another step to guarantee that a key revenue generator
for the company – its programmatic advertising platform based on
Real-Time Bidding (RTB) technology – remains compliant with EU
privacy regulations. Under the terms of the European General Data
Protection Regulation (GDPR), Google must minimize the amount of user
data that it collects and then shares with third parties such as
advertisers looking to buy Google Ads. With that in mind, Google’s
ad exchange will stop telling advertisers what categories of websites
users are visiting starting in February 2020.
… Ireland’s
top data protection regulator, for example, is taking a closer look
at Google’s programmatic advertising technology, based on concerns
that data shared with advertisers might enable them to create
comprehensive user profiles once they combine their own user data
sets with the user data being shared by Google.
Perhaps
they haven’t read the Asimov stories where the three laws fail?
Scientists
developed a new AI framework to prevent machines from misbehaving
In
what seems like dialogue lifted straight from the pages of a
post-apocalyptic science fiction novel, researchers from the
University of Massachusetts Amherst and Stanford claim they’ve
developed an algorithmic framework that guarantees AI won’t
misbehave.
The framework uses ‘Seldonian’ algorithms,
named for the protagonist of Isaac Asimov’s “Foundation”
series, a continuation of the fictional universe where the author’s
“Laws of Robotics” first appeared.
According to the team’s research,
the Seldonian architecture allows developers to define their own
operating conditions in order to prevent systems from crossing
certain thresholds while training or optimizing. In essence, this
should allow developers to keep AI systems from harming or
discriminating against humans.
… The
current AI development paradigm places the burden of combating bias
on the end user. For example, Amazon’s Rekognition
software, a facial recognition technology used by law
enforcement, works best if the accuracy threshold is turned down but
it demonstrates clear racial bias at such levels. Cops using the
software have to choose whether they want to use the technology
ethically or successfully.
The
Seldonian framework should take this burden off the end-user and
place it where it belongs: on the developers.
Requires
broad access to health records. Introduces new opportunities for
bias.
Startup
Deep 6 Lands $17 Million To Use AI To Help Find Patients For Clinical
Trials
Of
the many inefficiencies throughout the long,
expensive drug-discovery process,
patient recruitment for clinical trials can be a particularly
brutal bottleneck.
For example, various
studies have
shown that
as many as 40%
of trials fail
to meet their enrollment goals.
Enter
Deep 6, a Pasadena-based startup announcing $17 million in fresh
funding at a $50 million valuation for its artificial
intelligence-powered technology that can suggest candidates for
clinical trials in “minutes instead of months.” It has raised
$22 million total.
One
of the reasons that clinical trial recruitment takes so long is that
the patient health information necessary to determine if someone is a
good match for a given trial is spread across electronic medical
records (EMRs), physicians notes, pathology reports and other forms
of documentation.
Perspective.
Why AI is growing?
AI
Stats News: Chatbots Increase Sales By 67% But 87% Of Consumers
Prefer Humans
Business
leaders saved an average of $300,000 in 2019 from their chatbots,
with the greatest impact occurring across support and sales teams;
the sales function is the most common use case for chatbots (41%),
followed closely by support (37%) and marketing (17%); chatbots
increased sales by an average of 67%, with 26% of all sales starting
through a chatbot interaction; 35% of business leaders said chatbots
helped them close sales deals; top automated tasks performed by
chatbots are routing website visitors, collecting information, and
qualifying leads; chatbots speed up response times by an average of
4x and increase customer support satisfaction scores by 24% [Intercom
survey of
500 business leaders]
The
WSJ got it wrong? Impossible!
Why
many in the search community don’t believe the WSJ about Google
search
Follow
up to previous posting – an article by WSJ.com – How
Google Interferes With Its Search Algorithms and Changes Your Results
–
please
read – Search
is complicated. The WSJ appeared set on seeing that complexity
through a conspiratorial lens. Barry
Schwartz on
November 18, 2019. “…At first, I thought maybe the Wall Street
Journal had uncovered something. But as I read through page after
page while being shuttled down the West Side Highway towards my
office in West Nyack, New York, I was in disbelief. Not disbelief
over anything Google may have done, but disbelief in how the Wall
Street Journal could publish such a scathing story about this when
they had absolutely nothing to back it up. The subtitle of the story
read, “The internet giant uses blacklists, algorithm tweaks and an
army of contractors to shape what you see.” This line alone shows
a lack of understanding on how search works and why the WSJ
report on Google got a lot wrong,
as my colleague Greg Sterling reported last week. Google is not
certainly perfect, but almost everything in the Wall Street Journal
report is incorrect. I’ll go through many of the points [in this
article]…”
Another
peek at Brave.
There
are more competing web browsers than ever, with many serving
different niches. One example is Brave,
which has an unapologetic focus on user privacy and comes with a
radical reimagining of how online advertising ought to work.
… Brave
was one of the first browsers to include built advertisement and
tracker blockers, leapfrogging the likes of Opera. It also came with
its own cryptocurrency, called BAT
(or
Basic Attention Token), allowing users to reimburse the sites and
creators they like.
Essentially,
Brave wants to re-imagine how the Internet works: not just on a
usability level, but on an economic level. It’s an undeniably
radical vision, but you wouldn’t expect any less, given its
founding team.
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