Day: 20 March 2019

Google Stadia for Interactive digital narratives?

Yesterday Google announced Stadia, their cloud gaming project. The interesting parts of the announcement are…

  1. Play now on youtube
    I love the transition from watching to playing, 5 seconds and I’m sure with time it will drop down to even less.
  2. Play on any device and completely cross platform
    Really taking complete advantage of streaming and google’s massive cloud infrastructure.
  3. Record play state to the youtube
    Completing the circle, by sharing your state (not video) back to youtube, maybe even allowing others to play again with… This makes total sense because youtube is where they can start to show adverts too; although because its all generated it would be easy to advertise in the game its self.
  4. Share play state
    As mentioned above, you are not playing a video, but the game again complete with its world state, player position and player inventory.

Google Stadia on every platform

I think its quite a compelling idea and like everyone else, are interested in how much, how easy its to build for and will google get bored and kill it? I’m less interested in the exclusive games, game pad, etc but acknowledge  it will live or die by the games.

I do think theres some incredible possibilities for other types of media especially interactive digital narratives. It certainly could blow netflix’s interactive platform out the water. Said quite a few times, I find netflix’s interactive platform is horrible when you think, theres better more engaging experiences on the console attached to the same TV or even on the mobile you are using to drive it. With Stadia, its all the same thing.

Black Mirror choices can be snooped on?

Magic box

I have so much to say about Bandersnatch, most has been written here. But its clear that Netflix haven’t given up on the medium and even doubling down on it.

Something popped into my feed about some researchers paper saying you can snoop on the choices of people using Netflix’s interactive system. I’m hardly surprised as its typical network analysis and GDPR requests. But it reminds me how important the work we have done with perceptive media is.

I best explain it as delivering (broadcasting) the experience as a contained bundle which unfolds within the safe space (maybe living room) of the audience. Nothing is sent back to the cloud/base. This is closer to the concept of broadcast and means the audience/user(s) and their data isn’t surveil by the provider. This is exactly how podcasts use to work before podcast providers started focusing on metrics and providing apps which spy on their listeners. I would suggest the recent buy out of gimlet media by spotify might point this way too?

Of course the broadcast/delivery model this doesn’t work too well for surveillance capitalism but that frankly not my problem; and all audience interaction should be (especially under HDI) explicitly agreed before data is shared or exported.

I might be idealistic about this all but frankly I know I’m on the right side of history and maybe the coming backlash.

Facial recognition’s ‘dirty little secret’: Millions of online photos scraped without consent

People’s faces are being used without their permission, in order to power technology that could eventually be used to surveil them, legal experts say.
By Olivia Solon

Facial recognition can log you into your iPhone, track criminals through crowds and identify loyal customers in stores.

The technology — which is imperfect but improving rapidly — is based on algorithms that learn how to recognize human faces and the hundreds of ways in which each one is unique.

To do this well, the algorithms must be fed hundreds of thousands of images of a diverse array of faces. Increasingly, those photos are coming from the internet, where they’re swept up by the millions without the knowledge of the people who posted them, categorized by age, gender, skin tone and dozens of other metrics, and shared with researchers at universities and companies.

When I first heard about this story I was annoyed but didn’t think too much about it. Then later down the story, its clear they used creative commons Flickr photos.

“This is the dirty little secret of AI training sets. Researchers often just grab whatever images are available in the wild,” said NYU School of Law professor Jason Schultz.

The latest company to enter this territory was IBM, which in January released a collection of nearly a million photos that were taken from the photo hosting site Flickr and coded to describe the subjects’ appearance. IBM promoted the collection to researchers as a progressive step toward reducing bias in facial recognition.

But some of the photographers whose images were included in IBM’s dataset were surprised and disconcerted when NBC News told them that their photographs had been annotated with details including facial geometry and skin tone and may be used to develop facial recognition algorithms. (NBC News obtained IBM’s dataset from a source after the company declined to share it, saying it could be used only by academic or corporate research groups.)

And then there is a checker to see if your photos were used in the teaching of machines. After typing my username, I found out I have 207 photo(s) in the IBM dataset. This is one of them:

Not my choice of photo, just the one which comes up when using the website

Georg Holzer, uploaded his photos to Flickr to remember great moments with his family and friends, and he used Creative Commons licenses to allow nonprofits and artists to use his photos for free. He did not expect more than 700 of his images to be swept up to study facial recognition technology.

“I know about the harm such a technology can cause,” he said over Skype, after NBC News told him his photos were in IBM’s dataset. “Of course, you can never forget about the good uses of image recognition such as finding family pictures faster, but it can also be used to restrict fundamental rights and privacy. I can never approve or accept the widespread use of such a technology.”

I have a similar view to Georg, I publish almost all my flickr photos under a creative commons non-commercial sharealike licence. I swear this has been broken. I’m also not sure if the pictures are all private or not. But I’m going to find out thanks to GDPR

There may, however, be legal recourse in some jurisdictions thanks to the rise of privacy laws acknowledging the unique value of photos of people’s faces. Under Europe’s General Data Protection Regulation, photos are considered “sensitive personal information” if they are used to confirm an individual’s identity. Residents of Europe who don’t want their data included can ask IBM to delete it. If IBM doesn’t comply, they can complain to their country’s data protection authority, which, if the particular photos fall under the definition of “sensitive personal information,” can levy fines against companies that violate the law.

Expect a GDPR request soon IBM! Anything I can do to send a message I wasn’t happy with this.