Picked from the knowledge artifacts found in the people, places, things, and events of the last 100 years. Submit your email address to get latest Picks...
NACo’s 2017 Annual Conference and Exposition, the Counties Futures Lab
hosted a workshop on the gig economy and how the rise of the freelance
workforce is affecting counties across the country. Providing their
views on the Gig Economy are moderator Hon. Rich Fitzgerald, County
Executive, Allegheny County, Pa., and presenter Dr. Trevor Brown, Dean
of the John Glenn College of Public Affairs, The Ohio State University.
In 2016, The Hunger Games took the number five spot on the American Library Association most challenged books list. The reason for this stated:
“They were banned due to insensitivity, offensive language, violence,
anti-family, anti-ethic and occult/satanic.”
In 2014, the novel was also
banned for reasons of inserted religious perspective. However,
throughout the trilogy, a religious stance is never once mentioned by
Katniss or any other character. The dominant belief throughout—the one
in which Katniss dares to fight back—is that of loyalty to Panem and the
suppression of the districts.
An important factor in the novels is “the nature of celebrity,” as clearly depicted in Bustle Magazine:
Celebrity has always been an important part of The Hunger Games.
In the first installment, Katniss, Peeta, and the other tributes are
transformed into glamorous idols before entering the Games’ slaughter,
in an effort to glorify their actions for the Capitol’s benefit.
IMAGE VIA PINTEREST
One has to wonder if reality is imitating art in the recent announcement by Snapchat promoting its new Spotlight feature. For those who recall the movie, spotlights were played on the combatants as they engaged in battle to the death. Instead of the Roman thumbs up or down to signal the Emperor's mercy for or condemnation of the beaten gladiator, a social media gladiator earns sustenance from a Spotlight submission based on how many unique views it receives compared
to other content submitted that day. Those who attain the most celebrity get to live big. Those who fail to attain enough celebrity must keep fighting or die trying.
Snapchat is paying out up to $1 million per day for users who submit the best
content.
How Does Snapchat Curate Spotlight Content?
Snapchat is
surfacing submitted content in a new section dedicated to Spotlight
videos. Content is surfaced based on users’ individual preferences.
“We
focus on serving the right Snaps to the right person at the right time.
We do this by trying to understand your personal preferences.”
Snapchat’s algorithm also considers the following factors when curating content:
Watch time
Likes
Shares
Bounce rate
Before content is surfaced in Spotlight it gets reviewed by moderators to ensure it’s both appropriate and entertaining.
How Do Snapchat Users Earn Money From Spotlight Submissions
Snapchat notes it’s actively monitoring for fraud to ensure view counts are not artificially inflated.
Earnings
will be paid out to users every day and Snapchat will send a direct
message to notify people who are awarded a share of the money.
According to Adelyn Zhou, a leading voice in AI and the Marketing Director for Chainlink, there are seven types of artificial intelligence:
1) Act- systems that act based off rules like a smoke detector or cruise control.
2) Predict-
systems that are capable of analyzing data and producing probabilistic
predictions based on the data, like targeted ads or suggested content.
3) Learn- systems that make judgments based off predictions, such as self-driving cars that act based of sensor data coming in.
4) Create- systems that create based off data, such as designing an art piece, architecting buildings, or composing music.
5) Relate-
systems that pick up emotions based of facial, text, voice, and body
language analysis, such as voice to text application and facial scan
technology.
6) Master-
systems that transfer intelligence across domains, such as recognizing
that four different pictures all represent the same idea/word.
7) Evolve-
systems that can upgrade themselves at the software or hardware level,
such as humans in the future having the ability to download intelligence
into their brain like it’s software.
In each of these seven types of AI individual humans are the clients of the service they provide. Whether that service is as simple as activating a smoke detector alarm or as complex as porting raw knowledge directly into our brains, the focus is always on us as individuals. So what happens when AI evolves to the point where that focus is turned toward a more global perspective? Who will be empowered to set the rules for an extra-human system so powerful that it can impact any or all humans on planet earth? How might the influence of AI on human life grow over the next
fifty years? What is the hidden value in that growth?
A distributed ledger is a consensus of replicated, shared, and
synchronized digital data geographically spread across multiple sites,
countries, or institutions. Unlike with a distributed database, there is
no central administrator
Peter West--
Open Innovation Team
Human
intelligence is so remarkable because it’s collaborative. The
social reservoir of knowledge is a result of intelligence interacting
with other intelligence. Having barriers between two intelligent systems
slows down growth because it inhibits connections from taking place.
The more connections that happen, the more intelligent something can
become. The more intelligent an AI system becomes, the more value it
has.
Several concerns have been raised about using distributed ledgers within government:
Who decides who the ledger should be shared with?
When dealing with sensitive or confidential information, somebody needs
to select people to share the ledger with to ensure information does not
fall into the wrong hands. However, that person could select
untrustworthy individuals, or otherwise use their power in a corrupt
manner, negating the advantages of distributed ledgers over a central
storage solution.
It is impossible to retroactively change information.
This makes the technology appealing to financial transactions where
records should be historic, but this makes it unsuitable where
information may need to be retroactively changed.
It may be unsuitable for large numbers of users.
Larger-scale use cases should be considered on their need for growth in
the number of users and interactions, because right now these may lead
to poor performance and significant energy use. But, technological
solutions to these scaling issues are in development.
It may disrupt established workflows. End-users
will have different working behaviors, digital literacies, and
attitudes to technology which must be factored in when considering
distributed ledger use cases.
It is not yet mainstream. Distributed ledger
technology currently lacks established standards and legislation, its
conformance to existing and emerging standards is unclear. For example,
it is questionable whether a hash of personal information could
constitute personal information under the GDPR.
Is the data to be stored generated in a decentralised way? If
the process generating the data has some other point where a single
authority has complete say over what the data will look like, then DLT
may add very little in terms of preventing tampering and imbuing trust.
In order to maximize connection in society, by 2030, all of our
intelligent systems will need to interact with one another. The mass of
data being handled is useless if we humans do not understand its value
or how to use it for the common good.. So both data and its value must
be unobstructed as it moves from producers to providers around the
world.
The model that’s beginning to take form is a world where data
is a resource of increasing supply thanks to large data providers, IoT
devices, and the Internet. The data can be leveraged by AI algorithms
that refine it and use it to take intelligent actions in the real world.
These actions are facilitated by DLT technology that connect everything
together, trigger the reconciling of trade, and record it all in a
shared ledger. Once the networks are put in place, they run themselves
and can ever grow smarter over time. This is the fourth industrial
revolution.
Recently, the NBC News segment “Growing Number of Cities
Suspending Recycling Programs Over Rising Costs” showed the example of
Casa Grande, Arizona as indicative of a downward trend prevalent among
American cities.
The segment describes how cities are struggling to finance and maintain
curbside recycling programs, especially now that China has stopped
buying these materials. It also hints at how and why the end of such
programs is problematic. Amid concerns about climate change, there is a
real need to recycle, now more than ever.
This is yet another example of substituting Conventional Wisdom (CW) for Knowledge Based Decision Making (KBDM). CW advocates surmise that dumping our garbage in landfills and sites outside of town must be a good solution. That's the way it has been done for centuries. KBDM Advocates learn from scientific studies that landfills eventually emit toxic substances and dangerous bacteria into our air and our drinking water. They learn that people who live near landfills or former dump sites are statistically more prone to disease than those who don't. They also learn of the relationship between methane gas and global warming that scientists claim is the root cause of global climate change. Armed with this information and the knowledge that landfill sites are a major emitter of methane gas, they make recycling decisions that may not be popular but may save thousands of lives in the future.
Could it be that the Chinese Government is gradually making decisions based on verified knowledge while we are still operating from conventional wisdom?