If
we wanted an election system that could not be compromised we could
probably do it. Each state working alone is probably not the way to
go.
Study
finds vulnerabilities in online voting tool used by several states
Think
of this as a probable point of failure.
What
Are the Requirements for CCPA Training?
… At
Section 1798.135(a)(3), the CCPA requires that businesses “ensure
that all individuals responsible for handling consumer inquiries
about the business’s privacy practices or the business’s
compliance with this title are informed of all requirements in
Section 1798.120 and this section and how to direct consumers to
exercise their rights under those sections.”
The
CCPA’s training requirements specifically mention that all
employees responsible for handling consumer inquiries about privacy
practices must be informed of the requirements of 1798.120 and
1798.135, which primarily focus on the sale of consumer personal
information.
Wow!
Why?
IBM
will no longer offer, develop, or research facial recognition
technology
IBM
will no longer offer general purpose facial recognition or analysis
software, IBM CEO Arvind Krishna said in a
letter to Congress today.
The company will also no longer develop or research the technology,
IBM tells The
Verge.
“IBM
firmly opposes and will not condone uses of any [facial recognition]
technology, including facial recognition technology offered by other
vendors, for mass surveillance, racial profiling, violations of basic
human rights and freedoms, or any purpose which is not consistent
with our values and Principles
of Trust and Transparency,”
Krishna said in the letter. “We believe now is the time to begin a
national dialogue on whether and how facial recognition technology
should be employed by domestic law enforcement agencies.”
(Related)
Senator
wants to know if police are using Clearview to ID protesters
(Related)
Podcast
How
AI facial recognition works
InfoWorld
senior writer Serdar Yegulalp joins Juliet to discuss the mechanics
of AI facial recognition technology, how AI works to analyze your
face data, why it's used by law enforcement agencies and privacy
concerns.
Another
strategic view of AI.
KrattAI:
Estonia's National Artificial Intelligence Strategy
… In
2019, the Estonian government outlined the current and future usage
of Artificial
Intelligence (AI)
in government and private services. The main challenge was to create
the legal and strategic framework for accelerating AI development and
making Estonia a trailblazer in this emerging field.
The
creation of Estonia's National
AI Strategy resulted
in a detailed strategic plan for promoting the implementation of AI
solutions in both public and private sectors.
Following
its successful plan, Estonia has become the world’s most digital
society. Artificial Intelligence constitutes a fundamental pillar in
instituting digital technologies into government and throughout the
Estonian society, which Estonia refers to as e-Governance.
An
unbiased look at bias?
French
CNIL Publishes Paper on Algorithmic Discrimination
On
June 2, 2020, the French Supervisory Authority (“CNIL”) published
a paper
on
algorithmic discrimination prepared by the French independent
administrative authority known as “Défenseur des droits”. The
paper is divided into two parts: the first part discusses how
algorithms can lead to discriminatory outcomes, and the second part
includes recommendations on how to identify and minimize algorithmic
biases. This paper follows from a 2017 paper
published
by the CNIL on “Ethical Issues of Algorithms and Artificial
Intelligence”.
According
to this new paper, each stage of the development and deployment of an
algorithmic system is potentially susceptible to bias – indeed,
even the maintenance of such a system can be vulnerable to this
problem.
Legal
and ethical?
An
Ethical Framework for Artificial Intelligence
This
column is the first of a two-part series on creating an ethical AI
policy framework for the implementation of AI supported applications.
One
of the better AI articles from Forbes.
Explainable
AI Is A Game-Changer For Business Analytics
Founder
and Chief Product Officer at Fiddler
Labs,
an Explainable AI platform that provides trust, visibility and
insights into AI
Companies
are generating an increasing volume of data at a CAGR
of 61%.
As a result, enterprises have been transitioning toward a
data-driven decision model to build a competitive advantage.
The
traditional BI workflow involves producing bespoke summary data views
and analyses to drive decision making from vast seas of underlying
data stores. These primarily manual efforts do not scale to an
increasing velocity of data that needs a way to derive quick insights
from large datasets. Furthermore, data approximation obscures
insights, data selection adds human bias and insights are not
fine-grained.
Artificial
intelligence (AI), specifically machine learning (ML), can be used to
automatically discover complex relationships in data and accelerate
the process of generating insights. Augmented
analytics is
an emerging paradigm of analytics with integrated ML and AI. This
enhances data selection, data analysis, insight generation and
prescriptive decisions.
Let’s
understand the key types of analyst requests.
1. Descriptive. Describe what
happened from past data. For example, store sales dropped in Texas
last month.
2. Diagnostic. Explain why it
happened. For example, store sales dropped due to ineffective
promotion in San Antonio.
3. Predictive. Forecast what
will happen next. For example, store sales will continue to drop in
Texas.
4. Prescriptive. Recommend a
course of action. For example, pause or replace the promotion in San
Antonio.
Perspective.
(How would they know?) This virus has many variations that would be
useful in a bio-weapon. Just saying...
Nearly
Half of Coronavirus Spread May Be Traced to People Without Any
Symptoms
TIME:
“One of the more insidious features of the new coronavirus behind
COVID-19 is its ability to settle into unsuspecting hosts who never
show signs of being sick but
are able to spread the virus to others. In a study
published June 3 in the Annals
of Internal Medicine,
researchers at the Scripps Research Translational Institute reviewed
data from 16 different groups of COVID-19 patients from around the
world to get a better idea of how many cases of coronavirus can
likely be traced to people who spread the virus without ever knowing
they were infected. Their conclusion: at minimum, 30%, and more
likely 40% to 45%.
For faculty
and students.
How
to get free AI training and tools
AI
courses
- Google offers a free online Machine Learning Crash Course. It's 15 hours of work consisting of 25 lessons and 40 exercises. There's also a free four-hour introductory course to machine learning.
- Free courses are available for getting started with IBM Watson as well, and also for education on Watson's cognitive learning functions.
- Microsoft offers a free AI bootcamp for business executives.
Stuff
to do in isolation.
How
to explore the British Museum from home
“Whether
it’s a virtual visit or a Curator’s corner, there
are plenty of ways to keep exploring the British Museum while we’re
closed – here are our favourite ones.”
See
also Google Arts and Culture
– Take a virtual gallery tour – explore the museum’s galleries
from home – using
Google Street View.
Anything
to get rid of help my students.
5
Free Resume Apps to Maximize the Chances of Hiring Managers Reading
Your CV
I
want one!
Facebook’s
TransCoder AI converts code from one programming language into
another
… Facebook’s
system — TransCoder,
which can translate between C++, Java, and Python — tackles the
challenge with an unsupervised learning approach.
… The
Facebook researchers trained TransCoder on a public GitHub corpus
containing over 2.8 million open source repositories, targeting
translation at the function level.
…
Facebook
isn’t the only organization developing code-generating AI systems.
During Microsoft’s
Build conference earlier
this year, OpenAI demoed
a
model trained on GitHub repositories that uses English-language
comments to generate entire functions. And two years ago,
researchers at Rice University created a system — Bayou
—
that’s able to write its own software programs by associating
“intents” behind publicly available code.
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