Browse content similar to 15/07/2017. Check below for episodes and series from the same categories and more!
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This is Adam Jensen, star of the video game | :00:00. | :00:32. | |
Set in 2027, the poor chap has to undergo extensive | :00:33. | :00:38. | |
cybernetic modifications after being severely injured. | :00:39. | :00:43. | |
Well, just ten years before those events might occur, | :00:44. | :00:47. | |
that plot line doesn't seem that far off. | :00:48. | :00:51. | |
For years now people have been body hacking, | :00:52. | :00:54. | |
giving themselves extra abilities and, as our understanding | :00:55. | :00:58. | |
of robotics has advanced, so has our creativity. | :00:59. | :01:09. | |
Like the cyborg in the video game, he too has a bionic eye. | :01:10. | :01:16. | |
It doesn't have Terminator vision like this, yet, | :01:17. | :01:18. | |
Inside a prosthetic eye, which is an odd shape, | :01:19. | :01:23. | |
they're not a sphere, a prosthetic eye, they're actually | :01:24. | :01:25. | |
Inside that is a battery, a video camera and a video | :01:26. | :01:31. | |
transmitter all attached to a circuit board so they can | :01:32. | :01:35. | |
The camera is turned on and off with a magnet. | :01:36. | :01:42. | |
It doesn't look at all comfortable, is it in anyway comfortable? | :01:43. | :01:46. | |
The first configuration that looks the most uncomfortable, | :01:47. | :01:59. | |
it looks like a '90s iMac, you can see all the goods inside. | :02:00. | :02:03. | |
Like the battery and the wires, but that's covered by smooth | :02:04. | :02:06. | |
I don't have open wires and batteries, you know. | :02:07. | :02:11. | |
That kind of made my stomach drop a little bit when I saw that. | :02:12. | :02:15. | |
Rob damaged his eye when he was nine and in 2009 began exploring | :02:16. | :02:18. | |
As a film-maker himself, he was fascinated with the idea | :02:19. | :02:23. | |
It's like an absurd toy for a one-eyed film-maker. | :02:24. | :02:35. | |
I used to watch the Bionic Man when I was a kid, the $6 Million | :02:36. | :02:39. | |
I had the action figure, you looked through the back of his head, | :02:40. | :02:42. | |
I was looking at my Nokia flip phone at the time I was like - | :02:43. | :02:48. | |
That's in fact who I called, I called Nokia. | :02:49. | :02:51. | |
They said - well, we'll call the camera module people in China. | :02:52. | :02:54. | |
It's very small, it's very challenging. | :02:55. | :02:58. | |
It does visual dropouts, which is the visual language | :02:59. | :03:06. | |
of all video from the future, including Princess Leia | :03:07. | :03:09. | |
Since the initial prototype, Rob and his engineers have gone | :03:10. | :03:19. | |
He now has one eye that glows red when it films and another camera eye | :03:20. | :03:26. | |
I get calls from and emails from moms whose kid has just lost | :03:27. | :03:36. | |
an eye, because it's some sort of fun thing to show a kid this | :03:37. | :03:40. | |
maniac running around on videos and glowing | :03:41. | :03:42. | |
red eye cameras and stuff. It's fun for them to look at that. | :03:43. | :03:46. | |
They're now looking working on ways to transfer the technology to other | :03:47. | :03:49. | |
We're doing 3D scans of those now and then that creates a space that | :03:50. | :03:56. | |
you can take into software to map on the technology that we're | :03:57. | :04:00. | |
Some people golf, I like to make fake eye cameras and, you know, | :04:01. | :04:07. | |
UAE, that will go down well with users. Step aside, here is with | :04:08. | :04:50. | |
Khalifa, taking the coveted crown of most watched YouTube clip it has | :04:51. | :04:57. | |
been viewed a staggering... 2.9 billion times. Elon musk launched | :04:58. | :05:05. | |
the new all electric Tesla model three. A pricetag of $35,000 it is | :05:06. | :05:10. | |
supposed to be more affordable than their previous effort which cost 200 | :05:11. | :05:18. | |
grand. Rival automobile company has scrapped its plans to build a | :05:19. | :05:21. | |
billion-dollar factory in the US state of Nevada. This leaves a big | :05:22. | :05:26. | |
question mark over than launch next year of the new model. No, this is | :05:27. | :05:32. | |
not a digital version of the Ministry of silly walks but this is | :05:33. | :05:37. | |
Google 's deep mined attempting to learn how to walk. The research has | :05:38. | :05:42. | |
been conducted in virtual environments that one day it should | :05:43. | :05:45. | |
help robots learn how to navigate complex spaces. And, finally, a | :05:46. | :05:53. | |
former NASA scientist to build a super soaker, giant sized. It is so | :05:54. | :05:59. | |
big you will at least see him coming. | :06:00. | :06:13. | |
Almost everyone in the world who works pays tax on the money | :06:14. | :06:17. | |
they earn, but at this restaurant in San Francisco there | :06:18. | :06:19. | |
are no waiting staff and robots plate the food. | :06:20. | :06:22. | |
That work is currently not taxable and politician Jane Kim is now | :06:23. | :06:25. | |
looking into how this is changing the city's economy. | :06:26. | :06:27. | |
So what we're seeing is after automation that you can | :06:28. | :06:30. | |
hire less people in order to deliver products maybe quicker | :06:31. | :06:33. | |
But it's one of the questions that we have, it's true this | :06:34. | :06:37. | |
is really convenient, but at what cost? | :06:38. | :06:39. | |
It's not just restaurants, this picture is now seen across the city, | :06:40. | :06:42. | |
from hotels and hospitals to the latest addition | :06:43. | :06:44. | |
to the autonomous family, self-driving cars. | :06:45. | :06:46. | |
Policy makers have noticed, every time a robot takes human job, | :06:47. | :06:49. | |
The research is showing us that jobs are going to get lost over the next | :06:50. | :06:56. | |
ten years and if before the Great Depression | :06:57. | :06:58. | |
we could have predicted what would come afterwards, | :06:59. | :07:00. | |
if government could have prepared for the job loss that occurred, | :07:01. | :07:03. | |
That is the level at which we are looking at potentially | :07:04. | :07:08. | |
over the next ten years, in terms of job loss | :07:09. | :07:10. | |
Estimations of how many jobs will be wiped out vary widely | :07:11. | :07:16. | |
from study to study, but a recent report especially has | :07:17. | :07:21. | |
It's estimated that robots will replace 37% of jobs | :07:22. | :07:27. | |
in the United States by the early 2030s. | :07:28. | :07:29. | |
So the biggest concern is mass job displacement, | :07:30. | :07:33. | |
lack of true, meaningful, high wage work. | :07:34. | :07:35. | |
We are already seeing a decrease of that in San Francisco | :07:36. | :07:38. | |
where we have the fastest growing income gap in the country | :07:39. | :07:41. | |
and a wealth gap that is akin to the country of Rwanda, | :07:42. | :07:44. | |
accord to our own human services agency data | :07:45. | :07:46. | |
and so we have a shrinking middle-class and we have this | :07:47. | :07:50. | |
growing imminent threat that many of our meaningful, | :07:51. | :07:52. | |
working-class and even middle-class jobs may go away | :07:53. | :07:54. | |
At Cafe X, again a human worker has been replaced by a robot. | :07:55. | :08:04. | |
An Americano with milk, served by a robot. | :08:05. | :08:07. | |
Now, the human has a different role, advising on coffee beans and showing | :08:08. | :08:11. | |
customers how to use the tablet to operate the robot. | :08:12. | :08:14. | |
The owner is not sure about the idea of a tax on the replacement. | :08:15. | :08:20. | |
I guess I find it a little odd because what robots are supposed | :08:21. | :08:23. | |
That means it allows a shift in labour from doing highly | :08:24. | :08:28. | |
repetitive, low productivity tasks to more useful things. | :08:29. | :08:30. | |
So in order to have this machine operate, there has to be a lot | :08:31. | :08:41. | |
of engineers on software, hardware and manufacturing to build | :08:42. | :08:43. | |
Jobs like this require training and that's what Supervisor Kim wants | :08:44. | :08:50. | |
If you're a childcare worker or you're an in home | :08:51. | :08:57. | |
support services worker, working with a senior | :08:58. | :08:59. | |
or individual with disability, you often work three or four hours | :09:00. | :09:02. | |
So one of the ideas was, why not tax robots and invest | :09:03. | :09:08. | |
in these poverty jobs and make them truly living wage | :09:09. | :09:11. | |
This would mean a robot tax potentially subsidising low paying, | :09:12. | :09:19. | |
but essential jobs, so that the human employees | :09:20. | :09:21. | |
Currently, many people are working but not earning enough to live, | :09:22. | :09:27. | |
leading several politicians around the world to float the idea | :09:28. | :09:30. | |
This would be expensive for governments and Supervisor Kim | :09:31. | :09:36. | |
is suggesting an automation tax could be a solution. | :09:37. | :09:39. | |
If there's one thing that San Francisco is known for, | :09:40. | :09:42. | |
it's leading the conversation on technology and innovation, | :09:43. | :09:44. | |
but as harder and harder questions are asked about automation | :09:45. | :09:49. | |
and what this really means for people's jobs it seems | :09:50. | :09:52. | |
appropriate that this city, which has added so much | :09:53. | :09:54. | |
to the problem, is also grappling with what could be the solution. | :09:55. | :10:00. | |
But the rise of robotic workers is playing out on a global scale | :10:01. | :10:03. | |
and San Francisco is not the only place trying to lead | :10:04. | :10:07. | |
In the EU, a proposal to tax robots was voted down earlier in the year | :10:08. | :10:13. | |
and one of the Commissioners who did so says robots will create more | :10:14. | :10:17. | |
They are worried because they say robots they will take their jobs, | :10:18. | :10:22. | |
Progress always created more jobs than progress used to destroy. | :10:23. | :10:30. | |
The train is moving and speed is high and now it's up to us to be | :10:31. | :10:34. | |
on that train or to stay and to wave to the leaving train. | :10:35. | :10:45. | |
Concerns about automation replacing human jobs has been felt sense | :10:46. | :10:50. | |
the Industrial Revolution and more recently workers in | :10:51. | :10:52. | |
the manufacturing industry have seen jobs disappear | :10:53. | :10:54. | |
As the issue of a robot tax begins to spread further, | :10:55. | :11:01. | |
a fundamental question still needs to be answered - | :11:02. | :11:04. | |
In the context of robots of course automation is much broader | :11:05. | :11:10. | |
They gave this definition more than 100 years ago. | :11:11. | :11:16. | |
Politicians can no longer ignore the robots creeping | :11:17. | :11:18. | |
into the workplace and while many of the big questions | :11:19. | :11:22. | |
are still being thrashed out, it's clear that the issue of robot | :11:23. | :11:25. | |
workers is becoming more and more of a political one. | :11:26. | :11:38. | |
You can follow us on Twitter @BBC Click throughout | :11:39. | :11:43. | |
the week and like us on Facebook, too. | :11:44. | :11:45. | |
Thanks for watching and we will see you soon. | :11:46. | :11:46. |