It's no secret that automation, machine learning, artificial intelligence and maybe even robots are going to completely change the world of work in the next decade. And it's already playing a role in how Google works.
So how can we humble homo-sapiens prepare ourselves for our new robot overloads?
By learning from the past. I'll take you through stories of success and failures of interactions between the robots and the humans and leave you with a practical approach to avoid search marketing extinction.
Which is famous for one thing…
Birdman Competition where people see how far
they can jump of the pier
Room above the pub
I started organising a meet up in
the upstairs room of this pub
And 3500 people came
along to the last one
Because I organise an SEO
conference I spend more time
than is healthy thinking
about what SEO is really
* this isn’t actually me thinking about the
future of search, I’m reading my emails, but it
makes me look moody and enigmatic
Consequently, I’m really interested in how
But I’m most interested in the
people who use technology
And the impact that technology
has on people.
I also spend a lot of time
assembling stupid stuff I
bought of eBay
But I got told that’d be a
boring topic for a talk
So what is this presentation
Well, this presentation isn’t
If you spend fifteen minutes
doing this you’ll get seventy
It’s more about getting you to think differently about the future.
And the impact technology has on people.
It will introduce you to our new
marketing robot overlords
Most of the SEO talks about AI,
Machine Learning, robots, etc.
focus on the search engine,
Or don’t even really look like
robots at all
So why should I be scared
Governor of the Bank of
He’s not a robot you should
be scared of.
But his organisation is behind
a report that scared me.
Taking the probabilities of automation, and multiplying them by
the numbers employed, gives a broad brush estimate of the
number of jobs potentially automatable.
For the UK, that would suggest up to 15 million jobs could be at
risk of automation. In the US, the corresponding ﬁgure would be
80 million jobs.
Chief Economist at the Bank of England
Is 15 Million a lot of Brits
Hands up who’s birthday is between Jan 1st and May 2nd?
Sorry the robot’s taken your job.
That’s about a third of the
population who’s job is at risk
due to “robots”
I made a mistake
15 million is a third of the population,
but actually about half of the working
times as many
U.S jobs as
lost in the
OK, breathe, I don’t flip
burgers in McDonald’s so I’m
Frey and Osborne have examined how
susceptible jobs are to computerisation
Three types of task
Robots are still unable to
match the depth and
breadth of human
Tasks that relate to an
environment can make
jobs less susceptible to
human creativity are
difﬁcult to specify.
The principal obstacle to
computerising creativity is
stating our creative values
sufﬁciently clearly that
they can be encoded in
Human social intelligence
is important in a wide
range of work tasks, such
as those involving
The realtime recognition
of natural human emotion
remains a challenging
Things people are good at…
Tasks requiring perception
Creative tasks which rely
both on novelty and
Non-routine social tasks
which rely on hard to
Things machines are good at…
Routine tasks in structured
Tasks which require novelty
Analysis at a speed and
These sort of things aren’t sexy
But are likely to have the biggest most immediate impact on your life.
And Artiﬁcial Intelligence, Deep Learning and other
sort of related things along those lines.
Artificial Intelligence, Machine
Learning and Deep Learning
What’s the difference between
I studied media studies at Uni not
computer science or anything like it…
Now feels like a good time to share
Computer systems able to perform tasks normally requiring human
intelligence, such as visual perception, speech recognition, decision-making,
and translation between languages.
What is artificial intelligence?
The wide availability of GPUs that make parallel processing ever faster,
cheaper, and more powerful.
All aided by practically inﬁnite storage and a ﬂood of data sources.
Why AI has exploded?
There’s three levels of artiﬁcial intelligence in rising levels of nightmarish-ness
Difference between narrow, general and
AI that specializes in one area. There’s AI that can beat the world
chess champion in chess, but that’s the only thing it does.
Ask it to ﬁgure out a better way to store data on a hard drive, and
it’ll look at you blankly.
Artificial Narrow Intelligence
A computer that is as smart as a human across the board—a
machine that can perform any intellectual task that a human
being can. Creating AGI is a much harder task than creating ANI,
and we’re yet to do it.
Artificial General Intelligence
Our mission is to solve
Artiﬁcial Superintelligence ranges from a computer that’s just a
little smarter than a human to one that’s trillions of times
smarter—across the board.
ASI is likely to either
mean we become immortal
or face extinction
The 24k words on AI on
this blog will literally
blow your mind
But enough of the sci-fi
Machine Learning at its most basic is the practice of using algorithms to
parse data, learn from it, and then make a determination or prediction
about something in the world.
So rather than hand-coding software routines with a speciﬁc set of
instructions to accomplish a particular task, the machine is “trained” using
large amounts of data and algorithms that give it the ability to learn how to
perform the task.
A branch of machine learning based on a set of algorithms that attempt to
model high level abstractions in data by using a deep graph with multiple
processing layers, composed of multiple linear and non-linear
Spotify’s key staff share how it works
Beatles artiﬁcial intelligence
Flow Machine - Daddy’s Car
A Beatles-esque song written by artificial intelligence
To me it sounds more like the
Beach Boys than the Beatles,
but still hugely impressive
A Neural Networks that can
reconstruct Pixelated faces
An Artificial Intelligence that
finds art like current news photos
Newspaper sports reports are often
generated by machines
Friona fell 10-8 to Boys Ranch in five innings on Monday at
Friona despite racking up seven hits and eight runs. Friona
was led by a flawless day at the dish by Hunter Sundre,
who went 2-2 against Boys Ranch pitching. Sundre singled
in the third inning and tripled in the fourth inning … Friona
piled up the steals, swiping eight bags in all …
The software also generate natural
language Google Analytics Reports.
IBM Watson and cancer
At the University of North Carolina School of Medicine,
Watson was tested on 1,000 cancer diagnoses made by
human experts. In 99 percent of them, Watson
recommended the same treatment as the oncologists.
In 30 percent of the cases, Watson also found a treatment
option the human doctors missed. Some treatments were
based on research papers that the doctors had not read —
more than 160,000 cancer research papers are published a
Eliza simulated conversation by using a 'pattern matching' and substitution
methodology that gave users an illusion of understanding on the part of the
program, but had no built in framework for contextualizing events.
Eliza the 1960s rubbish robot
A video chat bot that generates
new lines for Joey from friends
When 30 of the US’s biggest companies lost 9% of their value for no
apparently caused by algorithmic trading
May 2010 Flash Crash
I did a whole deck about the the implications of the ﬂashcrash on how we think about SEO
Facebook’s Fake Robots
Their AI Assistants sometimes are actually people
Everything but packing the bag
Ocado have automated nearly every aspect of their business
apart from packing the shopping bags
There’s software used across
the country to predict future
And it’s racist.
Should we resist and fight back?
refused patent for
out of fear it
would cause mass
Anything that is in the world when you’re
born is normal and ordinary and is just a
natural part of the way the world works.
Anything that’s invented between when
you’re fifteen and thirty-five is new and
exciting and revolutionary and you can
probably get a career in it.
Anything invented after you’re thirty-five is against the
natural order of things.
I’m 33, so I hoping the rate of
change slows down a bit
So what are the actions?
Things you can do when you
get back to the office…
image recognition open source
GoogleBrain have released their image captioning system
available as an open source model in TensorFlow.
Released a huge learning set of images - a
dataset consisting of ~9 million URLs to
images that have been annotated with
labels spanning over 6000 categories
Is it part of the core algorithm