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Tag Archives for " Artificial Intelligence "

Amazon, Google, Microsoft sued over photos in facial recognition database

Amazon, Google parent Alphabet and Microsoft used people’s photos to train their facial recognition technologies without obtaining the subjects’ permission, in violation of an Illinois biometric privacy statute, a trio of federal lawsuits filed Tuesday allege.

The photos in question were part of IBM’s Diversity in Faces database, which is designed to advance the study of fairness and accuracy in facial recognition by looking at more than just skin tone, age and gender. The data includes 1 million images of human faces, annotated with tags such as face symmetry, nose length and forehead height.

Source: Amazon, Google, Microsoft sued over photos in facial recognition database – CNET

Wrongfully Accused by an Algorithm

In what may be the first known case of its kind, a faulty facial recognition match led to a Michigan man’s arrest for a crime he did not commit.

Mr. Williams’s case combines flawed technology with poor police work, illustrating how facial recognition can go awry.

Full article: Wrongfully Accused by an Algorithm – The New York Times

ACLU sues Clearview AI over alleged privacy violations

The ACLU has sued Clearview AI for allegedly violating Illinois privacy law through its face recognition-based surveillance technology.

The lawsuit was filed in an Illinois state court and won’t have a direct impact on Clearview AI’s business elsewhere. It could still deal a significant blow if it leads to a statewide ban, however, and might prompt other states to take action.

Source: ACLU sues Clearview AI over alleged privacy violations | Engadget

Your face mask selfies could be training the next facial recognition tool

Researchers are crawling the internet for photos of people wearing face masks to improve facial recognition algorithms.

The practice of grabbing people’s photos from social media to train facial recognition algorithms isn’t new, but the focus on face masks because of COVID-19 is. There’s an urgency among developers to create face mask detection technology as a public safety concern, but ethical issues come up when the images are collected without consent.

Full article: Your face mask selfies could be training the next facial recognition tool – CNET

EU Commission Opens Public Consultation on Proposed Artificial Intelligence Regulatory Framework

On 19 February 2020, the European Commission published a white paper on the use of artificial intelligence (AI) in the EU. The White Paper forms part of the Commission President, Ursula Von der Leyen’s, digital strategy, one of the key pillars of her administration’s five year tenure, recognising that the EU has fallen behind the US and China with respect to the strategic deployment of AI.

To tackle this problem, the Commission proposes a common EU approach to ‘speed up the uptake’ of AI in the EU, whilst also tackling the human and ethical implications of AI’s fast growing use in the EU, including the possible downsides of its use, such as opaque decision making and hidden, embedded gender and racial discrimination.

Full article: European Commission’s Public Consultation on Proposed EU Artificial Intelligence Regulatory Framework

Australian police used Clearview AI facial recognition software to counter child exploitation

The Australian Federal Police (AFP) has admitted to using a facial recognition tool, despite not having an appropriate legislative framework in place, to help counter child exploitation.

In response to questions taken on notice by deputy commissioner Karl Kent, the AFP said while it did not adopt the facial recognition platform Clearview AI as an enterprise product and had not entered into any formal procurement arrangements with the company, it did use a trial version. Seven officers have conducted searches on the Clearview AI facial recognition platform.

Source: AFP used Clearview AI facial recognition software to counter child exploitation | ZDNet

FTC Cautions Against Biased Outcomes in Use of AI and Algorithms

As the healthcare and financial impacts of COVID-19 continue to evolve with the global pandemic, the use of AI technology and associated risks have received greater attention.

On April 8, 2020, the FTC posted an extensive summary of its recent enforcement actions, studies, and guidance regarding the use of AI tools and algorithms. The FTC expects the use of AI tools to be transparent, explainable, fair, empirically sound, and managed in a compliant and ethically accountable way.

Source: FTC Cautions Against Biased Outcomes in Use of AI and Algorithms

Researchers propose Falcon, a privacy-preserving communication protocol for AI training and inference

Researchers hailing from Princeton, Microsoft, and Technion propose Falcon, a secure communications protocol for AI inferencing and training.

They claim that it’s the first secure C++ framework to support high-capacity AI models and batch normalization, a technique for improving both the speed and stability of models. Moreover, they say that Falcon automatically aborts when it detects the presence of malicious attackers, and that it can outperform existing solutions by up to a factor of 200.

Full article: Researchers propose Falcon, a privacy-preserving communication protocol for AI training and inference | VentureBeat

Time to re-evaluate AI algorithms right from the design stage

The inherent bias that all-too-often springs from AI algorithms is well-documented.

With AI bias and errant outcomes surging, a call for more human involvement. ‘Even the people deploying these algorithms sometimes would be surprised that these things could happen’.

The best approaches to eradicating such bias is general awareness, as well as designating trained people to examine and audit AI output.

Full article: Time to re-evaluate AI algorithms right from the design stage, experts urge | ZDNet

The Far-Right Helped Create The World’s Most Powerful Facial Recognition Technology

Clearview is the most powerful form of facial recognition technology ever created, according to the Times. With more than 3 billion photos scraped surreptitiously from social media profiles and websites, its image database is almost seven times the size of the FBI’s.

Exclusive documents obtained by HuffPost reveal that Ton-That, as well as several people who have done work for the company, have deep, longstanding ties to far-right extremists. Some members of this alt-right cabal went on to work for Ton-That.

Full article: The Far-Right Helped Create The World’s Most Powerful Facial Recognition Technology | HuffPost

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