#EU #AI #Algorithms #FraudDetection #DataJournalism #Welfare #AlgorithmicBias: "It has been a challenging endeavour that has involved more than a hundred public records requests across eight European countries. In March of 2023, we published a four-part series co-produced with WIRED examining the deployment of algorithms in European welfare systems across four axes: people, technology, politics, and business. The centrepiece of the series was an in-depth audit of an AI fraud detection algorithm deployed in the Dutch city of Rotterdam.

Far-reaching access to the algorithm’s source code, machine learning model and training data enabled us to not only prove ethnic and gender discrimination, but also show readers how discrimination works within the black box. Months of community-level reporting revealed the grave consequences for some of the groups disproportionately flagged as fraudsters by the system.

We have published a detailed technical methodology explaining how exactly we tested Rotterdam’s algorithm with the materials we had. Here, we will explain how we developed a hypothesis and how we used public records laws to obtain the technical materials necessary to test it. And, we will share some of the challenges we faced and how we overcame them."

https://pulitzercenter.org/how-we-did-it-unlocking-europes-welfare-fraud-algorithms

Does anyone have information if #UBlockOrigin blocks #NeuroID (behavioural user scanning)?

#Cite from their #website:
"To improve identity decisioning, NeuroID has monitored hundreds of millions of customer journeys, delivering insight you do not have today."

https://www.neuro-id.com/

-----

#FraudDetection
#DoNotTrackMe
#Privacy

How is artificial intelligence used in fraud detection? - AI can contribute to fraud management by detecting data anomalies... - https://cointelegraph.com/explained/how-is-artificial-intelligence-used-in-fraud-detection #fraudmanagemen #frauddetection #ai

🔥⏲️ Fudge Sunday "Take the Bot DataDome" This week we take a look at recent funding for DataDome, related bot management solutions, and the road ahead.

#webapplicationsecurity #webapplicationfirewall #owasp #bots #frauddetection #fraudprevention #ecommerce #botmanagement #secondarymarket #auctions #sneakerhead #mitigation #machinelearning #artificialintelliegence #aiml #newsletter #newsletters

https://fudge.org/archive/take-the-bot-datadome/

9 examples of artificial intelligence in finance - Discover how artificial intelligence is transforming the financia... - https://cointelegraph.com/news/9-examples-of-artificial-intelligence-in-finance #artificialintelligence #insuranceunderwriting #portfoliomanagement #algorithmictrading #personalizedadvice #customerservice #frauddetection #riskmanagement #creditscoring #finance

#EU #Netherlands #Welfare #Algorithms #FraudDetection #Rotterdam: "Last month, reporters at Lighthouse Reports and Wired published “Inside the Suspicion Machine,” a tremendous exposé of the fraud-detection algorithm used by the city of Rotterdam, Netherlands, to deny tens of thousands of people welfare benefits.

The investigation showed that the algorithm, built for Rotterdam by the consultancy Accenture, discriminated on the basis of ethnicity and gender. And most impressively, it demonstrated in exacting detail how and why the algorithm behaved the way it did. (Congrats to the Lighthouse/Wired team, including Dhruv Mehrotra, who readers may recall helped us investigate crime prediction algorithms in 2021.)

Cities around the world and quite a few U.S. states are using similar algorithms built by private companies to flag citizens for benefits fraud. Not for lack of trying, we know very little about how they work."

https://themarkup.org/hello-world/2023/04/01/it-takes-a-small-miracle-to-learn-basic-facts-about-government-algorithms

📣 Attention! 🎉 Brenda Penante, Senior ML Scientist at Wayfair, is joining us! 🚀 She'll be discussing fraud detection in e-commerce and various machine learning applications to stay ahead of malicious agents. Don't miss out on this talk! #AI #FraudDetection #ecommerce

Get your tickets now: https://women-in-data-ai.tech/

How does content moderation & fraud detection work in practice? Some patterns I found include:

• Human-in-the-loop to collect ground truth
• Data Augmentation via fuzzing & generation
• Cascade pattern to split problems into smaller pieces

What else?

#contentmoderation #frauddetection

https://eugeneyan.com/writing/content-moderation/?reset=1

How does content moderation & fraud detection work in practice? Some patterns I found include:

• Human-in-the-loop to collect ground truth
• Data Augmentation via fuzzing & generation
• Cascade pattern to split problems into smaller pieces

What else?

#contentmoderation #frauddetection

https://eugeneyan.com/writing/content-moderation/

#Algorithms #FraudDetection #Fraud #Surveillance #Welfare #FraudPrediction #Netherlands: "Rotterdam’s fraud prediction system takes 315 inputs, including age, gender, language skills, neighbourhood, marital status and a range of subjective case worker assessments, to generate a risk score between 0 and 1. Between 2017 and 2021, officials used the risk scores generated by the model to rank every benefit recipient in the city on a list, with the top decile referred for investigation. While the exact number varied from year to year, on average, the top 1,000 “riskiest” recipients were selected for investigation. The system relies on the broad legal leeway authorities granted in the Netherlands in the name of fighting welfare fraud, including the ability to process and profile welfare recipients based on sensitive characteristics that would otherwise be protected.

It became clear that the system discriminates based on ethnicity, age, gender, and parenthood. It also revealed evidence of fundamental flaws that made the system both inaccurate and unfair."

https://www.lighthousereports.com/investigation/suspicion-machines/

How Machine Learning is Solving Fraud Detection in Finance - You will find financial apps on a majority of smartphones. We often reach our phon... - https://readwrite.com/how-machine-learning-is-solving-fraud-detection-in-finance/ #machinelearningfinancial #dataandsecurity #machinelearning #frauddetection #tech #ai #ml

Image alteration and duplication in scientific publications: the STM Association has released "the first in a series of instructional video modules intended to serve as a tool for scholarly journal editors screening for manipulated images in submitted manuscripts".

🕵️🖼️

https://www.youtube.com/watch?v=-taHMZgh-9Q

#ResearchIntegrity #JournalEditing #ScientificFraud #ImageManipulation #STM #FraudDetection #ScholComm #Video

#introduction part 1

My name is Jean-Philippe and I live in #Quebec #Canada. I own a #tech #consulting firm. We offer a cohesive toolset that includes machine learning models, and behavior analytics that leverage government and public data to help security and risk-management law enforcement leaders detect fraud and prevent policy abuse while minimizing false positives and costs, and maximizing ROI and public trust.

#FraudDetection #ML #MachineLearning #Government #GoC

I am happy to say that our paper was accepted at #neurips2022 and we released not 1, not 2, but 6 companion datasets!🎉

The paper, "Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation" presents a suite of datasets to evaluate ML fairness.😎

We are releasing these datasets because the normally currently used datasets to test ML fairness are small (less than 50k rows), are old (e.g., the frequently used "UCI Adult" is from 1994), or have documentation issues or data leakage.

On the contrary, our datasets are realistic, large (1 million rows), contain 5 different types of biases, have real-world properties (imbalanced, time shifts), and are privacy-preserving (via GANs, Laplacian noise, and filters and transformations).

Paper, datasets, datasheets, and code are available at:
https://lnkd.in/ddDm4Y64

Thank you co-authors Sérgio Jesus, José Maria Pombal, Duarte Alves, André Cruz, Pedro Saleiro, Rita P. Ribeiro, and Joao Gama, in another collaboration between Feedzai and Universidade do Porto.

Thank you also to colleagues and helping friends João Veiga, Joao Bravo, Catarina Belém, and Bruno Cabral and to sponsoring agency ANI - Agência Nacional de Inovação and Carnegie Mellon Portugal Program.

#feedzai
#frauddetection
#ResponsibleAI
#MLfairness