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futurists have spoken repeatedly with
alarming insights that artificial
intelligence and robots are going to
rule the world in the future with
machine learning the artificial
intelligence of the future could be more
than capable of knowing what to do
before we do whilst many people think
that's scary many don't know artificial
intelligence technology is already
realizing what we've generally assumed
to be the distant future the AI of today
can already do things that we never
imagined it would be capable of the
future we thought of is already here and
we are well on our way on a one-way
ticket let's explore the world of AI and
robots what's really happening on this
remarkable journey
robots write the news although people
have been expressing fear about robots
stealing our jobs for many decades most
agree that some industries are
completely safe from this type of up
evil this especially pertains to
creative careers including journalism
after all not only do you have to gather
the facts but you also have to put them
into an appropriate and effective order
using proper structure grammar and
emotive language despite these beliefs
that writing the news will always stay
within the bounds of human expression
artificial intelligence systems have
already conquered the task AI has
limitations but they're increasingly
overcome by the advanced systems that
people program into the powerful
computers that run recently the
Washington Post has published a news
story that delivered an article of equal
quality to the human journalists on its
payroll they call it heliograph in order
to create the news story it needs an
extensive database of facts appropriate
phrases for the hypothetical outcomes of
whatever a minute reports on and a
connection to other sources of factual
updates
Bloomberg News uses robotic journalists
as well their system which is called
cyborg uses the same types of data
sources to create articles focused on
big business finance and quarterly
earnings reports the a I immediately
scans financial reports and database
form gleans the most important or
interesting information and regurgitates
it in article format this type of
extremely boring journalism just might
be the perfect option for a robotic
writer who will not complain many
different financial journalism sources
like Bloomberg and Reuters use these
types of artificial intelligence systems
to deliver incredibly fast content to
their followers in some ways the
financial markets present the perfect
opportunity for these types of automated
reports to exist they're driven strictly
by data and do not require creative
language or poetic prose the people who
read them simply want the facts
delivered in a digestible manner another
industry that can use AI Report Writer
successfully is sports
The Associated Press LA Times and The
Washington Post all use robotic content
generators to deliver information about
everything from minor league baseball to
high school football and beyond they're
considered tools in the drive to deliver
the fastest and best content to a hungry
audience experts and career records show
that these new AI powered journalists do
not pose much of a threat to their human
counterparts they do basic information
based articles and other content that
are helpful for marketing and the target
audience while human reporters focus on
the important stories that take more
creativity content is produced at an
amazing rate these days compare the 3700
AP articles on company earnings in a
single fiscal quarter this year to the
300 similar articles and years gone by
besides things like financial reports
and sports score content other robot
produced content focuses on things like
election coverage and transforming one
particular article into the same article
that focuses on a different geographical
region this type of geo targeting is
helpful when marketing a business or
publication on the Internet
another reason why a I will not take
over from the humans is that the content
still needs to be created before it's
plugged into the system writers and
editors must still come up with all the
hypothetical outcomes and appropriate
phrases and sentences that the digital
system can then use to create the final
report is Robocop real what about robots
for other jobs while the world is not
ready for 100% cyborg cops that hunt
down criminals and arrest them yet the
digital world of AI and robotics is
advancing into the law-enforcement world
Robocop from the same name movie was
after all a cyborg with a human brain
even in science fiction we cannot find
completely digital police officers
however there is now a Robocop unit
Dubai that's supporting the
law-enforcement agencies without any
human element at all the artificially
intelligent robot police officer goes
well beyond a gimmick or helpful
information machine Watson the
supercomputer jointly owned by IBM and
Google developed this cyber cop to
perform certain duties that would take
away from human police officers
responsibilities for example it can
identify wanted criminals scan license
plates and inform the human partners of
traffic violations and send immediate
reports about suspicious bags or
packages left unattended what does this
mean for the human cops who were
formerly responsible for these and other
duties according to the Davos World
Economic Forum the world is currently
experiencing a fourth Industrial
Revolution which focuses on digitization
and artificial intelligence instead of
automation the predictions are rather
grim for people either in search of a
job or who want to hang on to the
linearity have Merrill Lynch and Bank of
America recently published a prediction
that 47% of all jobs in the United
States could
automated in the near future my 2025 the
Boston Consulting Group's estimates that
a full 25 percent of jobs worldwide will
be handled by robots the numbers from
other organizations around the world are
equally grim this seems to be the first
time in the history of the world where
technological advancements and progress
are actively working against us instead
of supporting us the list of automated
systems and robotic workers just keeps
growing according to Oxford University a
system called zero could theoretically
get rid of 95% of all work currently
done by accountants and bookkeepers look
at the advancements in driverless
vehicles trucks and buses transportation
agencies and international summits are
being held to decide on new laws and
regulations governing them some people
are calling the rise of robots and
employment Armageddon as automated
systems and machines take over an
ever-increasing number of the jobs
performed by both uneducated and
educated workers a sociological shift in
the economy and humanity is taking place
statistics and logic suggest that it
would be impossible to create enough new
jobs for the number of people who will
be pushed out of them in this new
digital age and I systems can reproduce
science fiction based horror movies have
long included themes of robots rising up
and taking over their human counterparts
and learning how to build new robots to
replace themselves and spread across the
world like a new machine plague while
these ideas seem well grounded in the
realm of fiction new technological
advances are making it possible for some
AI systems to create their own software
and thus extend their reach into other
fields and rolls the best software
developers in the world have worked
exhaustively hard to create artificially
intelligent systems that operate as
close as possible to the human brain
multiple companies are currently working
to create software that can program new
software without the help of humans
one of the first was created by Google
in 2017 why would they want to advance
themselves out of a job is unclear the
AI generated AI was able to accurately
identify objects in an image 43% of the
time the human created AI system could
only do so 39% of the time with greater
degrees of accuracy it seems to make
logical sense to leave future designing
of software systems to the software
itself with advanced machine learning
capabilities a system could
theoretically start with the simplest of
code snippets and essentially study and
learn how to do complicated tasks
without any human help one particular
system like this is called bio it was
created in part by SWAT Chander e a
professor at Rice University he pointed
out a problem with these AI systems and
that's the people have to come up with
the data for the program's to use before
the program can operate before this
latest system that process took just as
much time and energy as creating the
software itself
now the person using by you gives a very
small amount of information and the
program uses github JavaScript knowledge
to predict what type of program the
originator wants writing any type of
codes from scratch is really not done
anymore
so much has already been created and the
needs are so great with the entire world
using smart gadgets phones vehicles and
appliances that use software programs
everything is handled by a pis
which are rules definitions protocols
and code snippets already in existence
that interact with whatever hardware or
software is currently in use this sense
complicated matters which leads to a
growing interest in establishing
artificially intelligent systems that
can navigate the process for people in
the end everything comes down to whether
the new robotic programmers can
correctly extrapolate the desires of the
people who want to use these systems
faster and more efficiently than the
humans can come up with them on their
own software that lies and cheats
everybody lies but until recently no one
imagined that software programs or
robots could all
we'll be dishonest at times although
they can appear to lie if the programmer
inputs incorrect information they're
still fundamentally telling the truth
based on their knowledge however
artificially intelligent programs are
now being developed that can cheat and
lie all on their own it all started at a
retro gaming competition where some
people working with AI systems set up a
computer to play a Sonic the Hedgehog
game all the computer had to do was to
get to a level as fast as it possibly
could while keeping track of the other
players to make sure they didn't beat it
rather than following the rules of the
game the computer started to cheat in
order to win it glitched through walls
in the game program despite having no
previous instruction or programmed
understanding of being able to do this
another instance of an AI system line
came from an instance in which the
artificially intelligent program
purposely hid some of the information
from Google Maps that it was supposed to
be converting to street maps
automatically
although these examples seem to ferry us
they're really just examples of software
programs doing what people want them to
do finding the best way to achieve a
goal in the case of Google Maps AI the
system was using a neural network that
transforms one type of image into
another in a highly efficient and
accurate way the system experiments with
different outcomes until it finds one
that works best researchers became
suspicious when the AI perform these
actions a lot better than they expected
to they reverse engineered the street
maps back into aerial photos and found
out that some of the information and
details were missing the computer simply
got rid of unimportant information like
the position of skylights on buildings
when it created street maps instead of
actually transferring all the
information from the aerial view to the
street map the system simply figured out
on its own how to include the features
in the original image onto the pattern
that made up a second one the computer
could see the data in the image because
it wasn't simply looking at it with
human eyes it became so good at dealing
with what it considered extraneous
information that the program could soon
encode aerial maps to become street maps
without any information about the street
map as it
really existed AI systems work together
it's generally considered that humans
and some higher-level animals are able
to consciously work together for the
greater good
no one expected artificial intelligence
systems robots or computers to be able
to figure out how to do this on their
own
all collaborative work in the digital
world was formerly created by the
programmed instructions that the people
inputted into the systems the ability to
work together gives us an advantage over
other species and many important ways
such as agriculture communication and
even war when the machines can do the
same thing it becomes an uncomfortable
mixture of excitement and fear the deep
mind project run by Google has developed
an AI that can interact collaboratively
with other AI systems in order to play
multiplayer video games the system's
figure out together how to make the best
moves and the right choices in order to
win matches over groups of human players
this unusual ability requires advanced
levels of interaction and essentially
making compromises in order to advance
the interests of the group the
collaborative efforts that deepmind was
able to achieve did not have very many
practical applications beyond the realm
of computer gaming all the compromises
seemed focused on very small decisions
like moving a controller a few pixels
left or right or choosing the best
character talents for a very specific
map or field of a game they were unable
to expand disability to play any map or
different games people had to step in
and do reprogramming work in order for
this to function the main program that
exists between digital teamwork and
human teamwork is that the AI systems
simply tend toward a goal but have no
real understanding of why they want to
achieve it or why they want to work with
other systems to make it happen
deep reinforcement learning seems to
stay within the bounds of humanity
people can work together because it
makes them feel good or they get a non
tangible benefit for doing so developing
these systems is exceptionally expensive
training them to work collaboratively
cost even more for example training one
AI to play a specific game could cost
upward of thirty five million dollars in
computer resource time and manpower the
amount of power expended for these
things that people do recreationally all
the time is the equivalent of 12,500
human brains operating for more than
three days without any sleep cost
difficulty and in extremely narrow focus
all get in the way of this type of
artificial intelligence teamwork
technology at this time
another thing that stands in the way is
the very human reticence to develop
robots computers and other machines that
can work together for their greater good
instead of our own machine powered
poetry one of the most emotive and
creative practices in the world deals
with writing poetry it seems impossible
that even the best AI system could ever
feel or experience enough to write a
poem as well as a human counterpart
that's not a matter of taking away jobs
because there simply are not that many
full-time poets in the world today
however many of the mechanics of poetry
are able to be taught to AI systems with
relative ease a computer can understand
what rhyme is metre rhythm and other
factors that go into this type of
creative writing artificial intelligence
systems already exists that can write
poetry in conjunction with the
University of Massachusetts and Stanford
University
experts are developing a recurrent
neural network language model that uses
both translation and natural language
skills to automatically capture the
photos create meaningful sentences to
describe actuations and write other
small snippets of content every word
choice is analyzed based on what was
already written
well it's quite proficient at creating
sentences that make sense it's not yet
been sufficiently programmed to
recognize things like emotive theme
since each sentence is created piece by
piece the finished passage often feels
stilted or disjointed Cornell University
researchers are making strides in
semantics sentence generation they cover
broader groups of sentences to improve
flow
using the same techniques it may be
possible to create some type of poetry
the results so far are quite diverse
some of the poems are undeniably awful
and would be left out of any high school
English class others are virtually
indistinguishable from those written by
humans while AI systems may not replace
the classics anytime soon they may soon
take over the greeting card industry or
create some pity memes although not as
serious as a robotic take over the world
on some AI system handling bond codes or
wrote government the concept of machines
creating things like poetry and art does
disturb some people in very real ways in
the end it makes sense to ask if
something should be left in the hands of
people or if it's right and good to hand
over some of the most meaningful and
emotive aspects of our lives to the
digital systems we create machines that
create art art is another field that
seems well within the bounds of humanity
it requires not just technical drawings
that match some specific measurement
angles and shapes or it's about truth
beauty and emotion can we create
artificially intelligent machines that
understand these things in truth
researchers of bethe age lab in Germany
developed an AI system in 2015 that's
able to create art by essentially
copying a photograph into one or more
artistic styles this is not a matter of
using Photoshop to transform a graphic
with some clever script that creates
brushstrokes instead of blocks of colors
the a night took what was programmed to
know of depth perception perspective
light and shadow and form to precisely
mimic what a real painter would do if
they were creating art in one experiment
a photograph of the German Street was
recreated in the style of Van Gogh with
precise attention to how he would have
used individual brushstrokes color
blending and more for each part of the
painting
artists themselves are turning the
machines to create unique art for them
one painting titled portrait of Edmund
Bellamy was created by a I completely it
sold at auction for four hundred thirty
two thousand five hundred dollars the
process to create it included a diverse
range of artists letting the system
digitally scan portraits that they
painted this essentially taught the
system how to make a portrait the end
result was a rather blurry and some say
creepy representation of an
old-fashioned man in a suit what's the
future of algorithmic art and should
artists embrace this technique to create
things for them some may consider it
cheating because it lacks the soul and
emotion of the human element this is not
an exceptionally new concern way back in
1973 an artist named Harold Cohen wrote
a piece of software developed to make
drawings based on his unique artistic
rules of course today's AI is much more
sophisticated than that and can learn
how to draw or paint from a vast range
of examples then algorithms called
generative adversarial networks ganz
which were developed by Ian good fellow
both create specific images and then
judge them on their merit based on the
rules and information already inputted
in the system these automated decisions
are based on what images are fed in by
the artist originally in some cases the
AI system is used to create dozens or
hundreds of drawings and the artist
simply chooses which ones they like the
best this creation process may remain
the only human touch in some art fields
in the future AI systems handle their
own encryption the idea of robots or
machines taking over the world would
require them to be able to encrypt
messages and keep secrets from the
people who seek to control them however
since people created AI systems to begin
with it stands to reason that we'd be
able to figure out their code relatively
easily back in 2016
google's research team created Bob and
Alice to neural networks who could talk
to each other
they then introduced Eve who was
instructed to attempt to figure out what
Bob and Alice were saying by decoding
their communications
Eve was initially very good at doing
this it could decrypt the messages sent
by either Bob or Alice and a relatively
short amount of time interestingly
enough Bob and Alice apparently did not
like being eavesdropped on and began
changing their encryption so that Eve
could not listen in people did not
create these types of codes they merely
told the Bob and Alice systems that they
should keep Eve from understanding them
and they did all the encryption work on
their own it all began with a 16-0
message sent from Alice to Bob using a
basic encryption method Bob had the
encryption keys so we could easily
figure out what the message was Eve
intercepted the message and attempted to
figure out the key so she could
understand it
whatever Eve got closer to figuring out
what the message was
analysts automatically changed her
encryption method and Bob automatically
learned how to get better at
understanding it no one taught any of
these AI systems anything about
encryption other than giving the initial
message and the encryption key to make
it understandable after approximately
8,000 messages sent back and forth Eve
was stumped she could not figure out the
encryption key to decode the messages
without getting a large part of it wrong
all the messages were simple binary
codes so her ability to get
approximately 50% of it right at that
point was no better than chance this
test had some very intriguing results
for the researchers at Google it also
raised a host of questions about whether
or not AI will be able to secure itself
to such a degree that the humans who
created it are unable to access the
information or processes contained
within security requires encryption but
it also requires the ability to decode
and access whatever we're trying to keep
safe the realm of cyber security may
eventually involve only AI systems
continuously battling against each other
to block nefarious machines from
stealing encrypted data and messages in
a truly dynamic digital battlefield
digital debates about philosophy
many people consider philosophy
something to discuss in university
classes and coffee shops late at night
with your intelligent friends these are
thoughts about the human condition which
seem to bring it completely out of the
realm of machines and artificial
intelligence however certain systems
such as a google chat bot and become
quite well known for discussing
philosophical topics and coming up with
some rather deep answers to the biggest
questions that people ask about life
death and other topics some of the
examples include question what's the
purpose of life answer to serve the
greater good question where are you now
answer I'm in the middle of nowhere
question what's the purpose of dying
answer to have a life all the questions
were inputted into the system by a
person all the answers were provided by
the machine although basic chatbots have
long been used to regurgitate certain
answers based on keywords and the
questions the one that came up with
these answers was specifically designed
as an AI system with much more complex
linkages between the possibilities most
of the ones currently in use on the
Internet are merely fun diversions that
can leave you scratching your head or
laughing a bit at the unusual answers
given
chu Google AI specialists quali in oral
VIN y'all are currently working on AI
systems that are more able to respond in
an appropriate conversational way this
allows them to navigate the entire flow
of the conversation on their own through
machine learning and analysis all these
AI systems deal with prediction on what
the next sentence should be based on
what was said before the ultimate goal
is to create an AI that does not require
a lot of rural input before it begins to
perform with a high degree of
believability and digital humanity in a
way these systems are much like the
artificial neural networks that Google
uses to deliver quality search results
to the people who stopped by to look up
some information or find a new bit of
content to enjoy through modeling of
appropriate conversations these types of
pay I chatbots
can think of a new response remember the
flow of the entire conversation and not
repeat itself or give contradictory
answers besides entertainment these type
of AI systems are primarily useful for
things like tech help or customer
service assistance most people get
frustrated with the usual chat systems
that don't provide with appropriate
responses to their questions about an IT
topic or their recent order with a
particular company as things advance the
answers will become much more useful in
the meantime the researchers and
Internet users can entertain themselves
with more philosophical questions
cleverly answered by computers
mind-reading robots and AI systems the
ability to read minds is something out
of a fantasy or science fiction tale to
begin with but when you add the idea
that it's a machine having the psychic
powers becomes even stranger in truth
however the types of signals and
electrical impulses that form the
thoughts in our heads are very similar
to what computers can identify their own
systems in 2017 an AI developed by
Japanese scientists was able to
translate a person's thoughts and
imagination into actual images without
any other input or data the pictures
were surprisingly accurate and detailed
there have been other experiments in
which computers read a person's mind and
were
to create sounds that they'd imagined
questions do arise about what purpose
this ability would have well some people
think it's downright scary others
suggest it may be helpful in the field
of psychology and diagnostics for
conditions that include hallucinations
the computer may be able to identify
with the person's imagining better than
they can articulate powerful
entrepreneurs interested in the field of
technology like Elon Musk and Jack Ma
have had philosophical discussions about
the future of AI and how much control
machines should have over humanity some
people at the world
artificial intelligence conference
believe that this type of mind-reading
power especially on a large scale would
make it impossible for human life to
continue as we know it it would open the
door for mind-control and each person
having far too much access to another
person's brain these early systems are
able to read your mind by tracking the
electrical impulses MIT labs already use
helmets that could do so with no
invasiveness at all obviously anyone who
sits down and puts one on their head
consenting to the experiment however
what happens in the far future if
handheld machines can do the same thing
from a distance
can you imagine speaking to someone they
hold their smartphone close to you and
they can know your every thought some
people think the next step after that is
to create digital networks that actually
link people's brains together for
collaborative work people would
essentially be able to use telepathy to
communicate or function the idea is that
this is playing with God is one that
visits the world of Science and
Technology quite frequently what an AI
cloud system be much different than the
concept of a deity who can see all and
know all inside you with this lead
humankind towards a type of hive mind
mentality although the concept behind
the mind-reading machine is quite
intriguing and may have some practical
applications it also seems to point to a
posthuman era where computers provide
important characteristics of our
existence throughout history humankind
has fought many wars and conflicts to
keep or gain their freedom would they
have to do the same thing from an Omni
present digital force that can look
inside and know exactly what we're
thinking in the meantime you can listen
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