#Face recognition

[scorpiotea576]

does anybody know the original artist who made this? I originally saw it on pintrest, but it was reuploaded a bunch so I figured I'd try and find them on here.

Ik if I was the original artist i would want someone to tell me, but my Google photos recognized them :)

[shubhadeep385]

Face Reveal when???

I don't have any problem, in revealing. Umm shall do it on my birthday then (22nd Nov). Keeping waiting..lol

[cyberneurotism]

welcome to dystopia

[willcodehtmlforfood]

"Named Manifesto Collection, the clothing features various patterns developed by artificial intelligence (AI) algorithms to shield the wearer's facial identity and instead identify them as animals."

"The collection includes jumpers, t-shirts, trousers and dresses that are knitted from 100 per cent Egyptian cotton quality by Filmar, a brand that adheres to the Better Cotton Initiative (BCI), according to Cap_able.

According to Didero, the Manifesto Collection aims to raise awareness of the right to biometric data privacy, which is an issue she says that is "often underrepresented despite affecting the majority of citizens around the world"."

[r0bita]

Reject #ClearviewCopOut Settlement

Clearview AI, the notorious facial recognition company, is poised to settle a lawsuit that includes virtually everyone—including you.

If you’ve been on social media between 2017 and now, you are most likely involved in this case, and you can help make sure Clearview doesn't get off easy. Take action now and reject this Clearview settlement and opt out.

Here's the background: since 2017 Clearview has scraped billions of images from websites and created a massive database with our photos.2 This database uses facial recognition technology to identify people, and has been sold to many clients, including cops.

Clearview has been sued many times for its attack on our rights, and several of these cases joined together in a consolidated class action lawsuit out of Illinois. Clearview is now set to settle this case, but this settlement doesn’t offer the protection our community deserves and allows Clearview to continue with business as usual: selling our faces in exchange for a payout that could be as little as pennies.

We’re calling this settlement for what it is: a cop out instead of real changes to their shady business practices. You can help fight this cop out by opting out of the settlement deal. Here is a website where you can easily go through the steps to opt out.

[pranathisoftwareservices]

Facial Recognition Application - Future of Work

Are you feeling irritated waiting in long lines for check-ins? Don't worry, we are here with an interesting application called Face Recognition. Say goodbye to the stone age. Welcome effortless check-ins with Face Recognition. Upgrade now and step into the future!

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[mikael-darkan]

[jcmarchi]

Starting reading the AI Snake Oil book online today

New Post has been published on https://thedigitalinsider.com/starting-reading-the-ai-snake-oil-book-online-today/

Starting reading the AI Snake Oil book online today

The first chapter of the AI snake oil book is now available online. It is 30 pages long and summarizes the book’s main arguments. If you start reading now, you won’t have to wait long for the rest of the book — it will be published on the 24th of September. If you haven’t pre-ordered it yet, we hope that reading the introductory chapter will convince you to get yourself a copy.

We were fortunate to receive positive early reviews by The New Yorker, Publishers’ Weekly (featured in the Top 10 science books for Fall 2024), and many other outlets. We’re hosting virtual book events (City Lights, Princeton Public Library, Princeton alumni events), and have appeared on many podcasts to talk about the book (including Machine Learning Street Talk, 20VC, Scaling Theory).

Our book is about demystifying AI, so right out of the gate we address what we think is the single most confusing thing about it: 

AI is an umbrella term for a set of loosely related technologies

Because AI is an umbrella term, we treat each type of AI differently. We have chapters on predictive AI, generative AI, as well as AI used for social media content moderation. We also have a chapter on whether AI is an existential risk. We conclude with a discussion of why AI snake oil persists and what the future might hold. By AI snake oil we mean AI applications that do not (and perhaps cannot) work. Our book is a guide to identifying AI snake oil and AI hype. We also look at AI that is harmful even if it works well — such as face recognition used for mass surveillance. 

While the book is meant for a broad audience, it does not simply rehash the arguments we have made in our papers or on this newsletter. We make scholarly contributions and we wrote the book to be suitable for adoption in courses. We will soon release exercises and class discussion questions to accompany the book.

Chapter 1: Introduction. We begin with a summary of our main arguments in the book. We discuss the definition of AI (and more importantly, why it is hard to come up with one), how AI is an umbrella term, what we mean by AI Snake Oil, and who the book is for. 

Generative AI has made huge strides in the last decade. On the other hand, predictive AI is used for predicting outcomes to make consequential decisions in hiring, banking, insurance, education, and more. While predictive AI can find broad statistical patterns in data, it is marketed as far more than that, leading to major real-world misfires. Finally, we discuss the benefits and limitations of AI for content moderation on social media.

We also tell the story of what led the two of us to write the book. The entire first chapter is now available online.

Chapter 2: How predictive AI goes wrong. Predictive AI is used to make predictions about people—will a defendant fail to show up for trial? Is a patient at high risk of negative health outcomes? Will a student drop out of college? These predictions are then used to make consequential decisions. Developers claim predictive AI is groundbreaking, but in reality it suffers from a number of shortcomings that are hard to fix. 

We have discussed the failures of predictive AI in this blog. But in the book, we go much deeper through case studies to show how predictive AI fails to live up to the promises made by its developers.

Chapter 3: Can AI predict the future? Are the shortcomings of predictive AI inherent, or can they be resolved? In this chapter, we look at why predicting the future is hard — with or without AI. While we have made consistent progress in some domains such as weather prediction, we argue that this progress cannot translate to other settings, such as individuals’ life outcomes, the success of cultural products like books and movies, or pandemics. 

Since much of our newsletter is focused on topics of current interest, this is a topic that we have never written about here. Yet, it is foundational knowledge that can help you build intuition around when we should expect predictions to be accurate.

Chapter 4: The long road to generative AI. Recent advances in generative AI can seem sudden, but they build on a series of improvements over seven decades. In this chapter, we retrace the history of computing advances that led to generative AI. While we have written a lot about current trends in generative AI, in the book, we look at its past. This is crucial for understanding what to expect in the future. 

Chapter 5: Is advanced AI an existential threat? Claims about AI wiping out humanity are common. Here, we critically evaluate claims about AI’s existential risk and find several shortcomings and fallacies in popular discussion of x-risk. We discuss approaches to defending against AI risks that improve societal resilience regardless of the threat of advanced AI.

Chapter 6: Why can’t AI fix social media? One area where AI is heavily used is content moderation on social media platforms. We discuss the current state of AI use on social media, and highlight seven reasons why improvements in AI alone are unlikely to solve platforms’ content moderation woes. We haven’t written about content moderation in this newsletter.

Chapter 7: Why do myths about AI persist? Companies, researchers, and journalists all contribute to AI hype. We discuss how myths about AI are created and how they persist. In the process, we hope to give you the tools to read AI news with the appropriate skepticism and identify attempts to sell you snake oil.

Chapter 8: Where do we go from here? While the previous chapter focuses on the supply of snake oil, in the last chapter, we look at where the demand for AI snake oil comes from. We also look at the impact of AI on the future of work, the role and limitations of regulation, and conclude with vignettes of the many possible futures ahead of us. We have the agency to determine which path we end up on, and each of us can play a role.

We hope you will find the book useful and look forward to hearing what you think. 

The New Yorker: “In AI Snake Oil, Arvind Narayanan and Sayash Kapoor urge skepticism and argue that the blanket term AI can serve as a smokescreen for underperforming technologies.”

Kirkus: “Highly useful advice for those who work with or are affected by AI—i.e., nearly everyone.”

Publishers’ Weekly: Featured in the Fall 2024 list of top science books.

Jean Gazis: “The authors admirably differentiate fact from opinion, draw from personal experience, give sensible reasons for their views (including copious references), and don’t hesitate to call for action. . . . If you’re curious about AI or deciding how to implement it, AI Snake Oil offers clear writing and level-headed thinking.”

Elizabeth Quill: “A worthwhile read whether you make policy decisions, use AI in the workplace or just spend time searching online. It’s a powerful reminder of how AI has already infiltrated our lives — and a convincing plea to take care in how we interact with it.”

We’ve been on many other podcasts that will air around the time of the book’s release, and we will keep this list updated.

The book is available to preorder internationally on Amazon.

[tilbageidanmark]

Thatcher effect

[barmy-demon]

I have an image of daisy saved on my phone and my phone mistook it for f-ing goldenloin T’T what is my world

[x3nshit]

me making the dumbest faces at my apple face recognition and it still recognizing me proves that she’s a real friend and she loves me

[szrssecurityswingbarrier]

dc brushless glass turnstile doors also called access swing barrier gate, which comes from the access control system, is one of the crucial parts of contemporary entrance and exit control. The door wings are driven by the control system and open and close instantly. The operating mode can be picked through shows settings: As soon as it is validated that the individual getting in is licensed, the door wings open immediately. It closes after a delay, and the delay time is adjustable. Typical dc brushless speedlane gates gate are divided into scissor doors (city flap turnstile door) and swing doors. (1) Scissor doors are often used in rail transit, and common scissor doors are primarily utilized in subways and other places. The door wings extend from the within the box, which can effectively seal the passage and play the function of access control. In addition, an infrared noticing device is set up inside the door body, which can recognize the function of "someone, one card" for people to travel through. (2) The swing door appeared behind the scissor door and belongs to the second generation servo motor slim turnstile door. Such servo motor speed turnstile gate is that the door wings run in the front and back direction. The operation process is within the human body's line of sight, which is much safer. In addition, because the door wings do not need to be retracted into package, The designs of swing doors are more diverse. Due to the above qualities, swing doors are generally utilized in banks, business structures, high-end office buildings, etc. Anti-trailing function: There is an overall infrared light band detection location in the channel. The switch state can be adjusted by software according to the consumer's accuracy requirements. The application of the light band to adjust to different needs avoids the drawbacks of point-type infrared detectors that are quickly contaminated and affects the dependability of judgment, and can successfully judge the future. Tag reader who checks out the card. When the system determines that tailgating has actually occurred, the system will respond based on the place of the legitimate cardholder returned by the infrared detector. After the door opening signal is sent, there are still some abnormal uses that will activate an alarm.

[jedwardsphoto]

X-H2s : Face Tracking

[pissanddie]

Florian Freier, Machine Readable Puppenheim, 2023

[facerecognition]

Corsight Facial Recognition - Contact Tracing Solution

Complex times require simple solutions. Corsight's Proximity feature enables easy contact tracing of people in the workplace. Accelerate investigations and maintain employee safety.

Corsight is making the world a smarter and safer place for everyone with facial recognition powered by accuracy and privacy.

For more information please visit us at www.corsight.ai or contact at info@corsight.ai

[rainbowpopeworld]

@queermarzipan yes it’s from the bloopers! And then they joke about using their face mugs to get it to work 😂

Struggles with Face ID - Featuring David Tennant and Michael Sheen in Staged