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Tag Archives for " algorithm "

Uber drivers union asks EU court to overrule ‘robo-firing’ by algorithm

Former Uber drivers have filed a legal challenge against the company in Europe, arguing that its “robo-firing” practices contravene GDPR.

The union is arguing that Uber’s alleged “robo-firing” practices contravene Article 22 of the EU General Data Protection Regulation (GDPR), which seeks to protect individuals from automated decision-making. The action has been filed in the District Court of Amsterdam, where Uber’s European HQ is located.

Source: Uber drivers union asks EU court to overrule ‘robo-firing’ by algorithm | VentureBeat

FTC Issues New Guidance on Artificial Intelligence Technology 

In the latest piece to come out of the FTC’s new focus on emerging technologies, the FTC Bureau of Consumer Protection issued new guidance on the use of artificial intelligence (AI) and algorithms.

The guidance follows up on a 2018 hearing where the FTC explored AI, algorithms, and predicative analysis. As the FTC recognizes, these technologies already pervade the modern economy. They influence consumer decision making – from what video to watch next, to what ad to click on, or what product to purchase.

Source: A New Frontier or Back to Basics? FTC Issues New Guidance on Artificial Intelligence Technology | Minding Your Business

UK Government Agrees to Stop Using ‘Visa Streaming’ Algorithm

The Home Office of the UK has announced that it will halt the use of its “Visa Streaming” algorithm. This change is the result of a settlement in a lawsuit brought to challenge use of the algorithmic decision system by the UK Government.

The system produced a “traffic light” assessment of visa applicants (Green, Yellow, or Red ) that informed how they would be treated during the visa approval process.

Source: UK Government Agrees to Stop Using ‘Visa Streaming’ Algorithm

NIST study finds that masks defeat most facial recognition algorithms

A National Institutes of Science and Technology found that 89 commercial facial recognition algorithms were defeated by masks.

The study — part of a series from NIST’s Face Recognition Vendor Test (FRVT) program conducted in collaboration with the Department of Homeland Security’s Science and Technology Directorate, the Office of Biometric Identity Management, and Customs and Border Protection — explored how well each of the algorithms was able to perform “one-to-one” matching, where a photo is compared with a different photo of the same person.

Source: NIST study finds that masks defeat most facial recognition algorithms | VentureBeat

Uber Drivers Sue to Gain Access to its Secret Algorithms

Uber’s power lies In information asymmetry. This EU court case could help end it.

Four United Kingdom Uber drivers launched a lawsuit Monday to gain access to Uber’s algorithms through Europe’s General Data Protection Regulation (GDPR) in a bid that could reshape the gig economy landscape across Europe.

Source: Uber Drivers Sue to Gain Access to its Secret Algorithms

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

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

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

Speech recognition algorithms may also have racial bias

As it turns out, algorithms that are trained on data that’s already subject to human biases can readily recapitulate them, as we’ve seen in places like the banking and judicial systems. Other algorithms have just turned out to be not especially good.

Now, researchers at Stanford have identified another area with potential issues: the speech-recognition algorithms that do everything from basic transcription to letting our phones fulfill our requests. These algorithms seem to have more issues with the speech patterns used by African Americans, although there’s a chance that geography plays a part, too.

Source: Speech recognition algorithms may also have racial bias | Ars Technica

This Filter Makes Your Photos Invisible to Facial Recognition

Digital cloaking, and how you can reclaim a modicum of digital privacy.

A.I. researchers are starting to think about how technology can solve the problem it created. Algorithms with names like “PrivacyNet” and “AnonymousNet” and “Fawkes” now offer a glimmer of refuge from the facial recognition algorithms trawling the public web.

Full article: This Filter Makes Your Photos Invisible to Facial Recognition

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