Phishing,
because it works!
645,000
Clients Affected in Oregon Department of Human Services Data Breach
Oregon
Department of Human Services officials say they are notifying about
645,000 clients whose personal information is at risk from a January
data breach.
The
Statesman-Journal reports
state
officials announced the notifications Tuesday and will start mailing
them Wednesday.
…
The
breach happened during an email "phishing" attempt that
targeted the department Jan. 8. Nine
employees opened the email and clicked on a link
that gave the perpetrator access to their email accounts.
What
determines how (and how much) the police invest to solve a crime? If
genetic matching is cheap, why not use it?
Should
the police be able to investigate your genetic family tree for any
crime, no matter how minor?
The
New York Times – Want
to See My Genes? Get a Warrant – Should the police be able to
investigate your genetic family tree for any crime, no matter how
minor?
“…Genetic
genealogy requires lots of DNA samples and an easy way to compare
them. Americans have created millions of genetic profiles already.
A 2018 study published in Science predicted that 90
percent of Americans of European descent will
be identifiable from their DNA within a year or two, even if they
have not used a consumer DNA service. As for easy access, GEDmatch’s
website
provides exactly this opportunity. Consumers can take profiles
generated from other commercial genetic testing services, upload them
free and compare them to other profiles. So can the police. We
should be glad whenever a cold case involving a serious crimes like
rape or murder can be solved. But the use of genetic genealogy in
the Centerville assault case raises with new urgency fundamental
questions about this technique…”
Imagine
appeals based on the programming of the “judge.”
Developing
Artificially Intelligent Justice
Re,
Richard M. and Solow-Niederman, Alicia, Developing Artificially
Intelligent Justice (May 19, 2019). Stanford Technology Law Review,
Forthcoming; UCLA School of Law, Public Law Research Paper No. 19-16.
Available at SSRN: https://ssrn.com/abstract=3390854
“Artificial
intelligence, or AI, promises to assist, modify, and replace human
decision-making, including in court. AI already supports many
aspects of how judges decide cases, and the
prospect of “robot judges” suddenly seems plausible—even
imminent.
This Article argues that AI adjudication will profoundly affect the
adjudicatory values held by legal actors as well as the public at
large. The impact is likely to be greatest in areas, including
criminal justice and appellate decision-making, where “equitable
justice,” or discretionary moral judgment, is frequently considered
paramount. By offering efficiency and at
least an appearance of impartiality,
AI adjudication will both foster and benefit from a turn toward
“codified justice,” an adjudicatory paradigm that favors
standardization above discretion. Further, AI adjudication will
generate a range of concerns relating to its tendency to make the
legal system more incomprehensible, data-based, alienating, and
disillusioning. And potential responses, such as crafting a division
of labor between human and AI adjudicators, each pose their own
challenges. The single most promising response is for the government
to play a greater role in structuring the emerging market for AI
justice, but auspicious reform proposals would borrow several
interrelated approaches. Similar dynamics will likely extend to
other aspects of government, such that choices about how to
incorporate AI in the judiciary will inform the future path of AI
development more broadly.”
Wise,
and therefore ignored?
EU
lawmakers need to look beyond the ‘top layer’ when regulating the
internet
Brussels policy makers could be forgiven for
wanting to move quickly to regulate ‘the internet.’ Assailed by
an avalanche of public opinion and a ‘techlash’ against many of
the tech giants, politicians and legislators have quickly sought to
target those that loom large. Unsurprisingly, this has meant a
disproportionate focus on the well-known consumer facing technology
platforms.
Outwardly, this may seem like a sensible move.
But problems occur when policy makers see these large tech platforms
as ‘the internet,’ when in fact they are nothing more than the
‘top layer’ — the proverbial tip of the iceberg. Policy ideas
and initiatives that underestimate the complexity of the internet
ecosystem, with all its different parts, players, and business
models, are dangerous and can ultimately lead to unintended
consequences.
Interesting,
but nothing much new.
The
fourth Industrial revolution emerges from AI and the Internet of
Things
Big
data, analytics, and machine learning are starting to feel like
anonymous business words, but they're not just overused abstract
concepts—those buzzwords represent huge changes in much of the
technology we deal with in our daily lives. Some of those changes
have been for the better, making our interaction with machines and
information more natural and more powerful. Others have helped
companies tap into consumers' relationships, behaviors, locations and
innermost thoughts in powerful and often disturbing ways. And the
technologies have left a mark on everything from our highways to our
homes.
Perspective.
Another step closer to the death of cash?
Facebook
Is Launching Its Own Cryptocurrency
… Libra
would allow you to send money to “almost anyone with a smartphone”
quickly and at “low to no cost”. Over time, Facebook hopes
you’ll be able to use Libra to pay for other products and services,
just as you would with Google Pay and Apple Pay.
Libra
isn’t all about Facebook. Instead, the Libra Association will
oversee the digital currency independent of Facebook. Members of the
Libra Association include Visa, Mastercard, PayPal, eBay, Uber,
Spotify, and a host of venture capital firms.
Just
like Bitcoin and other cryptocurrencies, Libra will be built on the
foundation of a blockchain. However, Facebook is hoping to avoid
fluctuations in value by pegging Libra to real-world currencies such
as the US dollar and the Euro.
Tools.
Python
Could Rule the Machine Learning/A.I. World
According
to a developer survey by JetBrains
(which
also introduced Kotlin, the up-and-coming language for Android
development), some 49 percent say they use Python for data analytics,
ahead of web development (46 percent), machine
learning (42
percent), and system administration (37 percent).
… This
data just reinforces the general idea that Python is swallowing
the data-analytics space whole.
Although highly specialized languages such as R have their place
among academics and more research-centric data analysts, it’s clear
that Python’s relative ease of use (not to mention its ubiquity)
has made it many friends among those who need to crunch data for some
aspect of their jobs.
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