Browse content similar to Fixing Kenya's Fire Service. Check below for episodes and series from the same categories and more!
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That's all the sport -
now it's time for Click. | 0:00:01 | 0:00:07 | |
This week: Fighting fires... | 0:00:07 | 0:00:09 | |
Naked navigation... | 0:00:09 | 0:00:11 | |
And a real-life Rocketeer. | 0:00:11 | 0:00:15 | |
On Click we often look out
for technology which can help | 0:00:38 | 0:00:41 | |
save people's lives. | 0:00:41 | 0:00:44 | |
This week: Fighting fires... | 0:00:44 | 0:00:49 | |
For example, we went to Rwanda
to look at how drones were speeding | 0:00:49 | 0:00:52 | |
up deliveries of blood and recently,
closer to home, I looked | 0:00:52 | 0:00:54 | |
at how the response times
of the Air Ambulance in London | 0:00:54 | 0:00:57 | |
were being improved
by better connectivity. | 0:00:57 | 0:00:58 | |
If you live in the developed world,
you will probably take it | 0:00:58 | 0:01:01 | |
for granted that you can dial
the emergency number, someone | 0:01:01 | 0:01:04 | |
will answer and help will arrive. | 0:01:04 | 0:01:07 | |
Well, in Kenya, that's not the case. | 0:01:07 | 0:01:10 | |
In the capital, Nairobi, alone,
there are more than 50 different | 0:01:10 | 0:01:13 | |
numbers for different ambulance
services and if you need | 0:01:13 | 0:01:15 | |
a fire engine, well,
that's at least a dozen more, | 0:01:15 | 0:01:20 | |
and even then there is no guarantee
they'll be able to get to you. | 0:01:20 | 0:01:24 | |
Well, Kate Russell has been
to Nairobi to meet a couple | 0:01:24 | 0:01:26 | |
of entrepreneurs who have had
the great idea of amalgamating them | 0:01:26 | 0:01:29 | |
all into one service. | 0:01:29 | 0:01:30 | |
Think Uber for emergency services. | 0:01:30 | 0:01:37 | |
For most living in a modern
metropolis, calling | 0:01:37 | 0:01:39 | |
an ambulance involves dialling
a single short code. | 0:01:39 | 0:01:43 | |
But in a city of more
than 6 million people, | 0:01:43 | 0:01:47 | |
Nairobi has no functioning
central emergency number. | 0:01:47 | 0:01:52 | |
With five public hospitals
and dozens of private hospitals | 0:01:52 | 0:01:55 | |
and clinics all operating
independently, you have to know | 0:01:55 | 0:01:58 | |
who to call if you need an ambulance
here and hope that there's someone | 0:01:58 | 0:02:02 | |
on duty to pick up. | 0:02:02 | 0:02:05 | |
Caitlin and Maria run
a start-up in Nairobi hoping | 0:02:05 | 0:02:07 | |
to address this problem. | 0:02:07 | 0:02:10 | |
You just take for granted that 911
exists and we did as well. | 0:02:10 | 0:02:14 | |
Both of us had lived here for years
and we never even considered it | 0:02:14 | 0:02:17 | |
and we'd worked in health
and I never even thought | 0:02:17 | 0:02:19 | |
what I would do in an emergency. | 0:02:19 | 0:02:23 | |
We just started asking people,
have you seen an ambulance before, | 0:02:23 | 0:02:25 | |
who has an ambulance? | 0:02:25 | 0:02:28 | |
We would go and meet and find
ambulances in parking lots | 0:02:28 | 0:02:31 | |
and we started a really simple tally
of how many ambulances | 0:02:31 | 0:02:33 | |
we could find. | 0:02:33 | 0:02:37 | |
We realised there were so many
ambulances and nobody has any | 0:02:37 | 0:02:39 | |
idea where they are. | 0:02:40 | 0:02:43 | |
Flare's aim is to connect emergency
response vehicles on an Uber style | 0:02:43 | 0:02:46 | |
platform that can route calls
to the operator that | 0:02:46 | 0:02:48 | |
can get there quickest. | 0:02:48 | 0:02:53 | |
When the call comes in I get to know
the patient's location, | 0:02:53 | 0:02:56 | |
I click on the location. | 0:02:56 | 0:03:02 | |
We see all the vehicles that
are within my range. | 0:03:02 | 0:03:05 | |
I can select our ambulance service,
which is six minutes away. | 0:03:05 | 0:03:13 | |
Let's click on the ambulance service
I'm going to dispatch, | 0:03:13 | 0:03:15 | |
it gives me the contact number
and their current location | 0:03:15 | 0:03:17 | |
and the estimated time. | 0:03:17 | 0:03:21 | |
It also gives me the
direct route for them. | 0:03:21 | 0:03:23 | |
So you've been using this system
through states of emergency, | 0:03:23 | 0:03:26 | |
for example the first elections. | 0:03:26 | 0:03:30 | |
We used it for the election
of 2017, and we also had | 0:03:30 | 0:03:34 | |
a backup for the radios. | 0:03:34 | 0:03:39 | |
We had the emergency services
covering all the emergency | 0:03:39 | 0:03:41 | |
situations that had arised. | 0:03:42 | 0:03:45 | |
Sorry, sorry? | 0:03:45 | 0:03:50 | |
Laya, emergency! | 0:03:50 | 0:03:55 | |
A busy city hospital,
we left Patrick to his work | 0:03:56 | 0:04:00 | |
and headed out onto the streets
to see first-hand the traffic | 0:04:00 | 0:04:03 | |
problems that make this kind
of operator routeing a lifesaver. | 0:04:03 | 0:04:07 | |
This was especially important
when violence broke out | 0:04:07 | 0:04:09 | |
during the October elections. | 0:04:09 | 0:04:13 | |
Flare's ambulances were
33% busier attending | 0:04:13 | 0:04:14 | |
to emergencies in these hotspots. | 0:04:14 | 0:04:19 | |
The response times we've seen have
gone down from 162 minutes, | 0:04:19 | 0:04:22 | |
which is the average,
which is nearly three | 0:04:22 | 0:04:24 | |
hours, which is insane,
to about 15 to 20 minutes. | 0:04:24 | 0:04:30 | |
So far the platform has 30
ambulances online with a goal | 0:04:30 | 0:04:33 | |
to reach at least 50 by the end
of January next year. | 0:04:33 | 0:04:38 | |
An annual membership fee gives
patients access to the emergency | 0:04:38 | 0:04:42 | |
hotline and covers the cost of any
callouts, which otherwise would have | 0:04:42 | 0:04:44 | |
had to be paid by credit card before
an ambulance is dispatched. | 0:04:44 | 0:04:50 | |
The fee is currently around $15-20
but Flare say this might change | 0:04:50 | 0:04:53 | |
as the service matures. | 0:04:53 | 0:04:57 | |
Eventually Flare wants to add
more concierge style | 0:04:57 | 0:04:59 | |
features for its members,
like real-time updates | 0:04:59 | 0:05:00 | |
and treatment information. | 0:05:00 | 0:05:05 | |
The data being collected might also
prove useful to help co-ordinate | 0:05:05 | 0:05:07 | |
better service across the city. | 0:05:07 | 0:05:13 | |
One of the things we recently
learned is there's a lack | 0:05:13 | 0:05:15 | |
of ambulances between 7am and 9am
and the reason for that is | 0:05:15 | 0:05:19 | |
that the night team is handing over
to the day team so all providers | 0:05:19 | 0:05:22 | |
are doing that shift change,
so there's a delay in that happening | 0:05:22 | 0:05:27 | |
so then there aren't enough
ambulances online to actually | 0:05:27 | 0:05:29 | |
respond to the emergencies. | 0:05:29 | 0:05:31 | |
You can use that information and go
to all the providers and say, | 0:05:31 | 0:05:35 | |
maybe stagger your times? | 0:05:35 | 0:05:40 | |
Completely, or make the handover
process more efficient | 0:05:40 | 0:05:42 | |
so that doesn't even occur. | 0:05:42 | 0:05:44 | |
Fire means even bigger problems
for emergency callouts in Nairobi. | 0:05:44 | 0:05:47 | |
As well as the fractured
co-ordination issues | 0:05:47 | 0:05:49 | |
seen with ambulances,
there's a desperate shortage | 0:05:49 | 0:05:51 | |
of trucks and water supplies. | 0:05:51 | 0:05:59 | |
Tragedies like this in Nairobi's
vast clothes market, Gikomba, | 0:05:59 | 0:06:03 | |
are all too common and often left
burning for much longer | 0:06:03 | 0:06:05 | |
than they should be
because of a simple lack | 0:06:05 | 0:06:07 | |
of access to resources. | 0:06:07 | 0:06:14 | |
999 goes directly to
the police headquarters, | 0:06:14 | 0:06:16 | |
to the police control room. | 0:06:16 | 0:06:17 | |
Once you call the police control
room, they start looking | 0:06:17 | 0:06:23 | |
for the nearest ambulance service
or the nearest fire service. | 0:06:23 | 0:06:27 | |
There's no radio linkage anywhere. | 0:06:27 | 0:06:31 | |
The phones they have belong
to four individuals. | 0:06:31 | 0:06:33 | |
The fire and ambulance service
are controlled separately | 0:06:33 | 0:06:35 | |
by different players. | 0:06:35 | 0:06:38 | |
ICT Fire and Rescue is the first
firefighting school | 0:06:38 | 0:06:40 | |
of its kind in Kenya. | 0:06:40 | 0:06:44 | |
I went to visit them and got
to try out some training. | 0:06:44 | 0:06:47 | |
Flare is working with the school
to add as many firetrucks | 0:06:47 | 0:06:50 | |
as possible to their Nairobi
coverage, as well as locating | 0:06:50 | 0:06:52 | |
available public and private water
supplies to add to the map. | 0:06:52 | 0:06:58 | |
There are enough hydrants
in Nairobi theoretically, | 0:06:58 | 0:07:01 | |
they were planned for,
but a lot of the hydrants | 0:07:01 | 0:07:03 | |
have been built on top
of so we are surveying Nairobi | 0:07:03 | 0:07:09 | |
to see where there are publicly
available hydrants and where there | 0:07:09 | 0:07:12 | |
are private hydrants are that we can
actually tap into. | 0:07:12 | 0:07:18 | |
At this stage it's unclear how
the membership funding model | 0:07:18 | 0:07:24 | |
will play out for fire cover
as callout costs could be radically | 0:07:24 | 0:07:26 | |
higher and more variable
than ambulance work. | 0:07:26 | 0:07:30 | |
Flare has high hopes of becoming
the 911 equivalent for the whole | 0:07:30 | 0:07:33 | |
of Kenya in the future. | 0:07:33 | 0:07:36 | |
Kate Russell in Nairobi solving
a problem that really needs solving. | 0:07:40 | 0:07:45 | |
I have to say that's not always
the case in the world of technology. | 0:07:45 | 0:07:50 | |
Take, for example, smart cities,
which we haven't really proved | 0:07:50 | 0:07:53 | |
we actually need, so far. | 0:07:53 | 0:07:58 | |
But authorities in Canada have
teamed up with a massive tech name | 0:07:58 | 0:08:02 | |
to develop a smart neighbourhood
that it says will massively improve | 0:08:02 | 0:08:04 | |
sustainability and affordability. | 0:08:05 | 0:08:06 | |
Paul Carter has been
to Toronto to find out more | 0:08:06 | 0:08:09 | |
about Google's grand designs. | 0:08:09 | 0:08:16 | |
Google's parent company,
Alphabet, has its fingers | 0:08:16 | 0:08:18 | |
in many technological pies,
from home automation, to search, | 0:08:18 | 0:08:21 | |
to life sciences and autonomous
vehicles but now the company has | 0:08:21 | 0:08:24 | |
an even bigger idea -
it wants to build a whole new city. | 0:08:24 | 0:08:30 | |
Well, sort of. | 0:08:30 | 0:08:33 | |
Authorities in Canada's
largest city, Toronto, | 0:08:33 | 0:08:36 | |
have announced a partnership
with Google stablemate Sidewalk Labs | 0:08:36 | 0:08:42 | |
to design a new waterfront area
known as Quayside. | 0:08:42 | 0:08:44 | |
Sidewalk Labs say they want to see
a city built from the Internet up. | 0:08:44 | 0:08:48 | |
What does that look like? | 0:08:48 | 0:08:52 | |
Streets will come alive
with a vitality we expect | 0:08:52 | 0:08:54 | |
from sort of the greatest urban
environments in a way that has never | 0:08:54 | 0:08:58 | |
actually been seen before. | 0:08:58 | 0:09:02 | |
The plans include modular buildings
that will automatically | 0:09:02 | 0:09:04 | |
adapt to wind and rain. | 0:09:04 | 0:09:06 | |
Robot delivery services,
underground rubbish disposal trains, | 0:09:06 | 0:09:10 | |
heated roads to melt the snow,
digital navigation systems, | 0:09:10 | 0:09:15 | |
smart traffic, self-driving buses. | 0:09:15 | 0:09:17 | |
So far, so Jetsons, but will any
ordinary people actually be able | 0:09:17 | 0:09:20 | |
to afford to live there? | 0:09:20 | 0:09:24 | |
What's really interesting
when you sit down with the Sidewalk | 0:09:24 | 0:09:27 | |
people is that a big part
of what they want to do and a big | 0:09:27 | 0:09:35 | |
part of the advertisement they
present for themselves is that this | 0:09:35 | 0:09:38 | |
will lower the cost of living. | 0:09:38 | 0:09:40 | |
They're trying to find ways
to reduce your cost of mobility, so, | 0:09:40 | 0:09:42 | |
for example, you don't actually have
to have a car at all. | 0:09:42 | 0:09:45 | |
These plans also rely
on data and lots of it. | 0:09:45 | 0:09:48 | |
Sensors in all aspects
of the development - | 0:09:48 | 0:09:50 | |
buildings, roads, open spaces -
will measure how and when people | 0:09:50 | 0:09:52 | |
use the environment. | 0:09:52 | 0:09:56 | |
In a week when it was revealed
Android phones were sending location | 0:09:56 | 0:09:59 | |
data back to Google,
should people be concerned | 0:09:59 | 0:10:01 | |
about their privacy? | 0:10:01 | 0:10:02 | |
They have a profit motive
and a business purpose for existence | 0:10:02 | 0:10:06 | |
that you have to make sure
at all times you safeguard | 0:10:06 | 0:10:09 | |
the public interest and that's our
job on everything we do. | 0:10:09 | 0:10:12 | |
They made it very clear that
even though they are part | 0:10:12 | 0:10:16 | |
of the Alphabet organisation,
which includes other technologies, | 0:10:16 | 0:10:20 | |
like Waymo is their driverless
car autonomous vehicle, | 0:10:20 | 0:10:26 | |
they are under no pressure or no
directive from Alphabet to have | 0:10:26 | 0:10:29 | |
to use their technology. | 0:10:29 | 0:10:31 | |
They believe that to
fulfil their objectives, | 0:10:31 | 0:10:33 | |
they want to get the best in class,
the most innovative technologies, | 0:10:33 | 0:10:40 | |
wherever they may be. | 0:10:40 | 0:10:42 | |
Both Waterfront Toronto
and Sidewalk Labs now have a year | 0:10:42 | 0:10:44 | |
to thrash out the finer details
of the plan. | 0:10:44 | 0:10:48 | |
Any time you do anything
complicated, I was deputy mayor | 0:10:48 | 0:10:52 | |
of New York for the six years right
after 9/11, my responsibilities | 0:10:52 | 0:10:57 | |
included the rebuilding
of the World Trade Center site, | 0:10:57 | 0:10:59 | |
you're never going to get unanimity,
but that's what the democratic | 0:10:59 | 0:11:02 | |
process is all about,
about putting ideas out there, | 0:11:02 | 0:11:04 | |
getting feedback, adjusting them
and ultimately hopefully winning | 0:11:04 | 0:11:06 | |
over enough people that
you can move forward. | 0:11:06 | 0:11:11 | |
At the moment this smart city
of the future exists only | 0:11:11 | 0:11:15 | |
in drawings and documents. | 0:11:15 | 0:11:19 | |
City planners and technologists
from around the world will be | 0:11:19 | 0:11:21 | |
watching with interest to see
if Google's grand plans ever make it | 0:11:21 | 0:11:24 | |
from concept to construction. | 0:11:24 | 0:11:29 | |
Hello and welcome
to the week in tech. | 0:11:34 | 0:11:37 | |
It was the week that US prosecutors
charged an Iranian man | 0:11:37 | 0:11:42 | |
with hacking into HBO,
leaking scripts for everyone's | 0:11:42 | 0:11:43 | |
favourite TV show, Game of Thrones,
and demanding over £4 | 0:11:43 | 0:11:46 | |
million in ransom. | 0:11:46 | 0:11:50 | |
Elsewhere, Skype disappeared
from app stores in China | 0:11:50 | 0:11:57 | |
after the government said it did not
comply with the local law. | 0:11:57 | 0:12:00 | |
The long-running net neutrality
debate took another turn this week | 0:12:00 | 0:12:02 | |
as US regulators rolled back
the laws that were brought | 0:12:02 | 0:12:05 | |
in under President Obama. | 0:12:05 | 0:12:06 | |
The chairman of the Federal
Communications Commission said | 0:12:06 | 0:12:09 | |
the changes would stop the Federal
government micromanaging | 0:12:09 | 0:12:11 | |
the Internet. | 0:12:11 | 0:12:14 | |
Critics argue the changes could lead
to unequal access to the Internet. | 0:12:14 | 0:12:17 | |
And humans and machine
have once again been | 0:12:17 | 0:12:19 | |
pitted against each other,
this time in the battle | 0:12:19 | 0:12:21 | |
of the drone pilots. | 0:12:22 | 0:12:23 | |
Researchers at NASA's jet propulsion
lab set up a time trial | 0:12:23 | 0:12:27 | |
between their artificial
intelligence and drone | 0:12:27 | 0:12:29 | |
pilot Ken Loo. | 0:12:29 | 0:12:33 | |
Loo was the winner when it came
to speed but was less consistent | 0:12:33 | 0:12:36 | |
overall than the AI system. | 0:12:36 | 0:12:38 | |
It wouldn't be Click
news without a robot. | 0:12:38 | 0:12:43 | |
This fine specimen stands at 5'1"
and calls itself THRC3. | 0:12:43 | 0:12:47 | |
The bot is designed to mirror
the movements of its human overlord | 0:12:47 | 0:12:51 | |
and may one day be used in locations
too dangerous for humans. | 0:12:51 | 0:12:55 | |
That's all fine before it gets fed
up and goes on strike, citing | 0:12:55 | 0:12:58 | |
an inhospitable working environment! | 0:12:58 | 0:13:08 | |
Earlier in the show we saw
how a smart city can be | 0:13:08 | 0:13:11 | |
built from the ground up
but you still need to be able | 0:13:11 | 0:13:13 | |
to find your way around it. | 0:13:14 | 0:13:15 | |
I've been looking at some
of the latest augmented reality that | 0:13:15 | 0:13:18 | |
aims to help but first,
I need to go and find the man | 0:13:18 | 0:13:21 | |
who knows all about it. | 0:13:21 | 0:13:25 | |
But he is not the only
person I am meeting. | 0:13:25 | 0:13:29 | |
HotStepper is a way-finding app
that uses this scantily | 0:13:29 | 0:13:33 | |
clad character to guide
you to your designated destination. | 0:13:33 | 0:13:37 | |
It is doing so by combining AR,
geolocation data, and mapping, | 0:13:37 | 0:13:41 | |
and while it is not the only app
to overlay directions | 0:13:41 | 0:13:44 | |
on the real world, it certainly
has a unique character. | 0:13:44 | 0:13:48 | |
He is just doing a dance. | 0:13:48 | 0:13:50 | |
As people are walking past the pub. | 0:13:50 | 0:13:54 | |
You must be Luke. | 0:13:54 | 0:13:56 | |
Lara, good to meet you. | 0:13:56 | 0:13:57 | |
You too. | 0:13:57 | 0:13:59 | |
Why am I following this man around? | 0:13:59 | 0:14:01 | |
Why have you designed
him looking like this? | 0:14:01 | 0:14:05 | |
After the year we have had in 2017
I think we needed some humour | 0:14:05 | 0:14:09 | |
so I wanted to make it more
interesting to get from A to B. | 0:14:09 | 0:14:12 | |
There are lots of navigation apps
out there, why are people | 0:14:12 | 0:14:20 | |
going to choose this one? | 0:14:20 | 0:14:21 | |
Some people find maps
on their phones quite | 0:14:21 | 0:14:23 | |
complicated to use. | 0:14:23 | 0:14:24 | |
We have also put in gigantic 3D
arrows at the end of the roads | 0:14:24 | 0:14:28 | |
you can follow him and see
from the arrows | 0:14:28 | 0:14:30 | |
where you want to go. | 0:14:30 | 0:14:31 | |
There are some challenges,
we don't actually know where a road | 0:14:31 | 0:14:34 | |
begins and a pavement stops we have
to kind of do our best to calculate | 0:14:34 | 0:14:37 | |
where we think it is. | 0:14:37 | 0:14:42 | |
To make it look as believable
as possible, what we do | 0:14:42 | 0:14:44 | |
is try to find out where we think
you are, what the weather | 0:14:44 | 0:14:47 | |
is like where you are,
if it is sunny or cloudy and then | 0:14:47 | 0:14:50 | |
specifically, the location
of the sun and if we can work | 0:14:50 | 0:14:53 | |
out where the sun is,
we can render his shadow naturally | 0:14:53 | 0:14:56 | |
to where it should be. | 0:14:56 | 0:14:57 | |
But when you are not having fun
on foot then maybe you are trying | 0:14:57 | 0:15:00 | |
to find a place to leave your car. | 0:15:00 | 0:15:02 | |
AR measuring app Air Measure
are prototyping a function | 0:15:02 | 0:15:05 | |
to help you parallel park. | 0:15:05 | 0:15:06 | |
Not something you would
want any inaccuracy on. | 0:15:06 | 0:15:11 | |
In the meantime, it can be used
for measuring furniture, | 0:15:11 | 0:15:13 | |
creating a floor plan,
or seeing how tall you are. | 0:15:13 | 0:15:16 | |
But if you are more focused
on finding your way around and have | 0:15:16 | 0:15:19 | |
taken a shine to HotStepper,
just don't lose your friend | 0:15:19 | 0:15:22 | |
or you may lose your way. | 0:15:22 | 0:15:25 | |
OK, you cannot miss the arrow
but where has my man gone? | 0:15:25 | 0:15:28 | |
Where is he? | 0:15:28 | 0:15:34 | |
The way we talk online has changed
in the last decade and I'm not | 0:15:37 | 0:15:41 | |
talking about the rise of social
networks like Facebook and Twitter, | 0:15:41 | 0:15:43 | |
but the even bigger explosion
in mobile messaging apps | 0:15:43 | 0:15:48 | |
like WhatsApp, Line
and WeChat depending | 0:15:48 | 0:15:49 | |
on where you are in the world. | 0:15:49 | 0:15:55 | |
Since 2014 we have been
using them even more | 0:15:55 | 0:15:58 | |
than the big social networks. | 0:15:58 | 0:16:01 | |
And with all of those people
spending all of that time chatting, | 0:16:01 | 0:16:04 | |
rather than browsing,
it is not surprising that companies | 0:16:04 | 0:16:06 | |
are desperate to talk to us too. | 0:16:06 | 0:16:10 | |
And I can only mean
one thing - bots. | 0:16:10 | 0:16:12 | |
Chat bots. | 0:16:12 | 0:16:14 | |
And plenty of them. | 0:16:14 | 0:16:22 | |
Modern bots promise to connect
with us and understand us in more | 0:16:22 | 0:16:26 | |
ways than ever before and that means
they could potentially do more | 0:16:26 | 0:16:28 | |
than just sell us stuff. | 0:16:28 | 0:16:30 | |
For example, they may
even change lives. | 0:16:30 | 0:16:32 | |
Dave Lee has been looking
at a unique project in Seattle | 0:16:32 | 0:16:34 | |
which is using chat bots to help
women working in the sex | 0:16:34 | 0:16:37 | |
industry to stay safe. | 0:16:37 | 0:16:42 | |
This is Aurora Avenue,
north Seattle, a long, | 0:16:42 | 0:16:46 | |
straight road full of liquor stores,
worn out car dealerships, | 0:16:46 | 0:16:48 | |
and cheap motels. | 0:16:48 | 0:16:53 | |
It is known as one of the traps
in the area and that means | 0:16:53 | 0:16:57 | |
it is a popular place where women
would come and be involved in street | 0:16:57 | 0:17:00 | |
prostitution and men come
to basically drive up | 0:17:00 | 0:17:03 | |
and solicit for sex. | 0:17:03 | 0:17:07 | |
As day passes into night,
we see only a handful | 0:17:07 | 0:17:13 | |
of working women walk by. | 0:17:13 | 0:17:17 | |
Just because this street isn't
as busy as it perhaps once | 0:17:17 | 0:17:19 | |
was doesn't mean this business has
gone away and in fact | 0:17:19 | 0:17:22 | |
it is quite the opposite. | 0:17:22 | 0:17:23 | |
The scale of the job to save these
women who are now behind closed | 0:17:23 | 0:17:26 | |
doors is incredibly overwhelming. | 0:17:26 | 0:17:28 | |
Like just about every
business you can think of, | 0:17:28 | 0:17:30 | |
the sex trade is now
almost completely online. | 0:17:30 | 0:17:32 | |
Powered by listings websites
which do little to prevent abuses. | 0:17:32 | 0:17:36 | |
It makes the women caught up in this
dark world much less | 0:17:36 | 0:17:39 | |
visible than ever before. | 0:17:39 | 0:17:45 | |
I was in the life for ten years. | 0:17:45 | 0:17:47 | |
I had a pimp, it was very violent,
I have a quota I had to meet every | 0:17:47 | 0:17:51 | |
day, and if I didn't make the quota,
there were punishments for that. | 0:17:51 | 0:17:54 | |
I stayed sometimes in hotels
for weeks, months at a time, | 0:17:54 | 0:17:58 | |
the same room, not leaving,
maybe just to smoke a cigarette | 0:17:58 | 0:18:00 | |
or go to the vending
machine to get a snack. | 0:18:00 | 0:18:03 | |
Those four walls and I remember
the TV playing just so there | 0:18:03 | 0:18:07 | |
was noise going, right? | 0:18:07 | 0:18:11 | |
I do remember sitting
in there and thinking the whole | 0:18:11 | 0:18:13 | |
world had forgotten about me. | 0:18:13 | 0:18:17 | |
And what would have shifted
if I have looked down on my phone | 0:18:17 | 0:18:20 | |
and someone would have said hey,
this is Jackie from Rest, | 0:18:20 | 0:18:23 | |
I used to be in the life. | 0:18:23 | 0:18:25 | |
I have resources,
do you want to chat? | 0:18:25 | 0:18:29 | |
Real escape from the sex trade,
or Rest, is a group that seeks out | 0:18:29 | 0:18:32 | |
and helps women trapped
in the sex industry. | 0:18:32 | 0:18:36 | |
This is a centre for those
taken out of the life. | 0:18:36 | 0:18:39 | |
It is temporary, safe accommodation. | 0:18:39 | 0:18:44 | |
The organisation is backing
a new initiative developed | 0:18:44 | 0:18:47 | |
with the help of Microsoft that uses
chatbot technology to intercept | 0:18:47 | 0:18:49 | |
anyone considering buying sex. | 0:18:50 | 0:18:54 | |
The team places fake sex
ads on popular sites. | 0:18:54 | 0:18:59 | |
When a potential customer texts
the number seeking to buy, | 0:18:59 | 0:19:02 | |
it is a chatbot that replies. | 0:19:02 | 0:19:07 | |
In this case we have set up
the bot so it is simulating | 0:19:07 | 0:19:10 | |
a 15-year-old trafficking victim. | 0:19:10 | 0:19:17 | |
This is asking me questions like how
old am I, $100 per hour, | 0:19:17 | 0:19:20 | |
what service are you looking for. | 0:19:20 | 0:19:21 | |
We work with survivors
of trafficking to ask them how | 0:19:21 | 0:19:24 | |
a conversation like this would go? | 0:19:24 | 0:19:25 | |
What would you say? | 0:19:25 | 0:19:27 | |
What are the tipoffs that this
would maybe not be a bot but a law | 0:19:27 | 0:19:30 | |
enforcement officer? | 0:19:30 | 0:19:31 | |
It has told you it is 15,
how does that sound? | 0:19:31 | 0:19:34 | |
That's where the hammer drops. | 0:19:34 | 0:19:36 | |
Here's the message. | 0:19:36 | 0:19:37 | |
Wow. | 0:19:37 | 0:19:41 | |
That is a really shocking feeling. | 0:19:41 | 0:19:44 | |
Somebody who thinks
they are anonymous and can go | 0:19:44 | 0:19:46 | |
on the internet and buy another
human being, it is | 0:19:46 | 0:19:49 | |
a big wake-up call. | 0:19:49 | 0:19:50 | |
The bot isn't being
used to arrest people. | 0:19:50 | 0:19:52 | |
Instead it is intended
to work as a deterrent. | 0:19:52 | 0:19:56 | |
Similar artificial intelligence
technology is being used to scrape | 0:19:56 | 0:19:59 | |
websites and reach women who may
be need help. | 0:19:59 | 0:20:02 | |
Outreach comes via a text message,
something that is much easier | 0:20:02 | 0:20:06 | |
to hide from a pimp than talking
to a charity worker in the street. | 0:20:06 | 0:20:12 | |
With text outreach, we can reach
so many more individuals on these | 0:20:12 | 0:20:18 | |
phone numbers that we are pulling
from online ads and when a girl | 0:20:18 | 0:20:21 | |
gets a text message,
she can respond to it in a time | 0:20:21 | 0:20:24 | |
and a place that is
safe for her to do so. | 0:20:24 | 0:20:27 | |
Impressed with what they've seen
so far, law enforcement agencies | 0:20:27 | 0:20:30 | |
in Seattle are now using the tech
with encouraging results. | 0:20:30 | 0:20:37 | |
There are thousands of buyers online
at any time of the day or night. | 0:20:37 | 0:20:41 | |
When we post a fake ad posing
as a person involved in prostitution | 0:20:41 | 0:20:44 | |
we will get 250 responses
in the first two hours | 0:20:44 | 0:20:46 | |
and there is no way that law
enforcement has the capacity | 0:20:46 | 0:20:49 | |
to respond to that. | 0:20:49 | 0:20:50 | |
A chatbot allows us to connect
with and deter all of those | 0:20:50 | 0:20:53 | |
buyers online at any time. | 0:20:53 | 0:20:54 | |
We've never able to do that. | 0:20:54 | 0:20:57 | |
Yet this issue needs a more
permanent solution to stop websites | 0:20:57 | 0:21:00 | |
being used to sell sex. | 0:21:00 | 0:21:01 | |
That is what is being worked
on here at the US Senate. | 0:21:01 | 0:21:04 | |
It is time to say no more. | 0:21:04 | 0:21:08 | |
New anti-sex trafficking measures
have bipartisan support | 0:21:08 | 0:21:12 | |
here but some tech companies have
raised concerns that the new rules | 0:21:12 | 0:21:16 | |
could be too broad. | 0:21:16 | 0:21:20 | |
While tech companies and legislators
iron out the detail, | 0:21:20 | 0:21:24 | |
Amanda's work in saving
women continues daily. | 0:21:24 | 0:21:27 | |
Just yesterday I had a young woman
come up to me who was living | 0:21:27 | 0:21:31 | |
in our residential programme
and she is like, Amanda, | 0:21:31 | 0:21:33 | |
I have a car, I have a licence,
I have insurance. | 0:21:33 | 0:21:35 | |
Like, insurance, legit. | 0:21:35 | 0:21:36 | |
Those are the moments that make it
all worthwhile and less | 0:21:36 | 0:21:39 | |
overwhelming because we know
we are making a difference. | 0:21:39 | 0:21:48 | |
When James Bond used a jet
pack to escape the bad | 0:21:48 | 0:21:51 | |
guys in Thunderball,
the world with jet pack mad. | 0:21:51 | 0:22:00 | |
But the US military designed Bell
rocket belt that he used was later | 0:22:00 | 0:22:03 | |
scrapped due to its high price
and limited flight time. | 0:22:03 | 0:22:07 | |
Almost 60 years on, science fiction
is finally becoming science fact. | 0:22:07 | 0:22:13 | |
Several companies and even
individuals around the world have | 0:22:13 | 0:22:15 | |
taken to the skies in recent years
to show off their | 0:22:15 | 0:22:18 | |
versions of a jetpack. | 0:22:18 | 0:22:20 | |
And recently, I was invited
to strap myself into one. | 0:22:20 | 0:22:22 | |
Fortunately, this was only in VR. | 0:22:22 | 0:22:27 | |
OK, here we go, we are going up. | 0:22:27 | 0:22:30 | |
OK! | 0:22:30 | 0:22:36 | |
The real thing has been built
and tested by New Zealand company | 0:22:36 | 0:22:40 | |
Martin Aircraft which is now
being bought by the Chinese | 0:22:40 | 0:22:42 | |
science company Quang Chi. | 0:22:42 | 0:22:47 | |
Firstly, technically,
it isn't a jet pack. | 0:22:47 | 0:22:54 | |
Its lifts off using two ducted
fans which are powered | 0:22:54 | 0:22:58 | |
by a petrol engine. | 0:22:58 | 0:23:01 | |
It is still in testing but the team
hopes that by the time it is ready, | 0:23:01 | 0:23:05 | |
it will be able to fly as fast as 40
kilometres an hour at | 0:23:05 | 0:23:08 | |
an altitude of 2500 feet. | 0:23:08 | 0:23:09 | |
On a single tank, it should last
for about 30 minutes, | 0:23:09 | 0:23:12 | |
covering distances of 20 kilometres,
carrying about 100 kilos. | 0:23:12 | 0:23:14 | |
And the company says it will be used
for far more than just fulfilling | 0:23:14 | 0:23:18 | |
the dream of human flight. | 0:23:18 | 0:23:22 | |
TRANSLATION: What can we do
if there are people stranded | 0:23:22 | 0:23:24 | |
in a high-rise fire? | 0:23:24 | 0:23:26 | |
This jet pack can reach places
a helicopter cannot. | 0:23:26 | 0:23:29 | |
A helicopter requires space
but with a jet pack you can get very | 0:23:29 | 0:23:33 | |
near and hose the fire down. | 0:23:33 | 0:23:37 | |
Martin Aircraft has been developing
flight technology for over three | 0:23:37 | 0:23:40 | |
decades and previously thought it
would start selling | 0:23:40 | 0:23:43 | |
these by last year. | 0:23:43 | 0:23:45 | |
Now, the company hopes the Chinese
financial boost will finally be | 0:23:45 | 0:23:47 | |
enough to get it off the ground. | 0:23:47 | 0:23:49 | |
Back at my VR demonstration,
I am starting to realise I may not | 0:23:49 | 0:23:52 | |
be the ideal jet pack pilot. | 0:23:52 | 0:23:58 | |
That is quite enough from us
for this week's Click | 0:23:58 | 0:24:01 | |
but there is plenty more happening
on Facebook and Twitter. | 0:24:01 | 0:24:06 | |
Thank you for watching
and we will see you soon. | 0:24:06 | 0:24:10 |