Ethical AI Training Organization

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Ethical AI Training Organization

Ethical AI Training Organization

@EthicalAiOrg

Advocate for AI Ethics, training transparency and accountability. Empowering companies, organizations and individuals with a strong dedication to #AIEthics

Beigetreten Haziran 2023
2.5K Folgt678 Follower
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Ed Newton-Rex
Ed Newton-Rex@ednewtonrex·
The reason it is so important that we introduce transparency laws over AI training data is that AI training is one of the only instances of mass copyright infringement that is mostly invisible to the rights holder. Usually, when someone uses your copyrighted work commercially without permission, you can see it happening. Maybe they modify your picture and use it on a magazine cover; maybe they pirate your film and resell it; maybe they steal your melody and use it in their own song. In each case, the infringement is out there in the open. That means (i) you are unlikely to miss it, and (ii) it is easy to hold the perpetrators accountable in the courts. AI training is different. It happens behind closed doors, and the result - the trained model - might not make the infringement obvious. Models trained on copyrighted work will sometimes output obviously copyrighted work, but, much of the time, the fact that your work has been used in training isn’t obvious. So people’s work has been copied and exploited for commercial purposes, but that copying is hidden. This is why we need new laws requiring AI companies to reveal the training data they use. Training commercial AI models on copyrighted work without permission is straight-up illegal in some countries (e.g. the UK), and there are strong arguments it is illegal in many cases in others (e.g. the US). But rights holders can't defend themselves under the law if the use of their work is kept hidden. The only reason these transparency laws aren't more widespread already is AI industry lobbying. Governments need to resist this, and introduce transparency requirements as a matter of urgency.
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Ed Newton-Rex
Ed Newton-Rex@ednewtonrex·
‘Tech companies believe in intellectual property, but not yours.” Great piece in The Atlantic pointing out that AI companies spend huge amounts of money simultaneously (i) defending their own IP and (ii) arguing that they can use other people’s for free. theatlantic.com/technology/202…
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Ed Newton-Rex
Ed Newton-Rex@ednewtonrex·
Today, we're publishing Don't Steal This Book - a (mostly) empty book from almost 10,000 authors, protesting the theft of their work by AI companies. The UK government is considering upending copyright law to benefit AI companies. Don’t Steal This Book urges them not to. Apart from the list of authors involved, the book is empty, representing the effect the government’s plans would have on authors' livelihoods. We're handing out 1,000 free copies at London Book Fair over the next couple of days. If you’re there, pick up a copy! A huge thank you to the thousands of authors involved. Read more here: theguardian.com/technology/202… #DontStealThisBook
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Ed Newton-Rex
Ed Newton-Rex@ednewtonrex·
@rohanpaul_ai yet openai refuses to pay for the human art it trains on. curious
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Ed Newton-Rex
Ed Newton-Rex@ednewtonrex·
Really important article in TIME this week: The People vs. AI. The backlash to the irresponsible and exploitative promotion of AI at all costs is growing. “Politicians who choose to do the bidding of Big Tech at the expense of hardworking Americans will pay a huge political price”. The same is true in countries around the world. time.com/7377579/ai-dat…
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🅽🅴🆁🅳🆈
🅽🅴🆁🅳🆈@Nerdy_Addict·
For comparison, the entire month of December showed no worldwide search trend activity for Nancy Guthrie’s address.
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Ethical AI Training Organization
Ethical AI Training Organization@EthicalAiOrg·
3d mapping has become the standard in crime scene investigations and surveillance. I’ve encountered it times in the field of machine learning and specifically in gathering ai training data. 2D documentation lacks depth making reconstruction difficult and subjective. This is the way they do things nowadays
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SCL@quebonita1137·
@EthicalAiOrg @JLRINVESTIGATES Possibly but they already have photo, video which gives them a pretty good range of height within an inch. They could estimate weight. They can also say what size shoe and that he has a tattoo. I don’t know how much more precise you can get. It’s simple mathematics.
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JLR©
JLR©@JLRINVESTIGATES·
FBI Agent had a Ultra Studio 4k mini kit in his hand. Tent up in front of the front door of Nancy Guthrie's home.
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SCL@quebonita1137·
@EthicalAiOrg @JLRINVESTIGATES They can do tha based off the video they already have so they don’t need to get any kind of data for that.
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SCCoastRider
SCCoastRider@SC_CoastRider·
@EthicalAiOrg @JLRINVESTIGATES It was stunning to see the plant still on the porch HOURS after the crime scene was released. They have made this case so easy to defend when/if it comes time.
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JLR©
JLR©@JLRINVESTIGATES·
TENT UP! FBI at Nancy Guthrie's home. The whole world is watching.
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Ethical AI Training Organization
Ethical AI Training Organization@EthicalAiOrg·
@PXLPATRIOT @JLRINVESTIGATES Yes but you can gather more accurate data digitally comparing the distance of his body from the walls in comparison to the height of the suspect and angle of the camera. They can map all of it out in 3d for precision
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Ethical AI Training Organization@EthicalAiOrg·
@MattFinnFNC Low light conditions are preferred for accurate 3d mapping to reduce noise. Perhaps they are trying to get approximate sizing data on the suspect
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🅽🅴🆁🅳🆈
🅽🅴🆁🅳🆈@Nerdy_Addict·
A sincere thank you to locals in Tucson and others who have trusted me with their tips, opinions, and leads, including Ring camera footage. Even if it turns out not to be related, no tip is too small until there is resolution for the Guthrie family.
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Ed Newton-Rex
Ed Newton-Rex@ednewtonrex·
I took a closer look at the UK government's new 'AI Skills Hub', and it is insane. It includes 'courses' that are simply links to info pages about PhD programs; 'courses' that are literally just software developer documentation; and 'courses' that don't exist at all. Short 🧵
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