Buongiorno, grazie Diego, per completezza aggiungo sotto il testo del comunicato stampa così si capisce meglio di cosa stiamo parlando: social scoring.
Aggiungo "solo" che il costo del sistema di gestione di questi benefit non è del tutto trascurabile: solo per _questo_ programma gli USA spenderanno 1,271,485.00 USD in tre anni (se non interpreto male le tabelle): quanto costerà all'annno gestire il sistema? A quanto ammonta il totale di fondi "dirottati" per mezzo delle truffe? "Diego.Latella" <[email protected]> writes: > From the web site of the Electronic Privacy Information Center (and > Issue 28-07 of EPIC Alert) > > EPIC Obtains Documents About DC's Use of Automated 'Risk Scores' for > Public Benefit Recipients > > https://epic.org/2021/08/epic-obtains-documents-about-d-3.html --8<---------------cut here---------------start------------->8--- EPIC, through a freedom of information request, has obtained new records about the D.C. Department of Human Services’ use of automated systems to track and assign “risk score[s]” to recipients of public benefits. The documents show that DCDHS has contracted with Pondera, a Thomson Reuters subsidiary, for case management software and a tool known as “Fraudcaster.” Fraudcaster tracks location history and other information about people receiving public benefits, combining this information with “DHS data and pre-integrated third-party data sets” to yield supposed risk scores. Factors that may cause the system to label someone as riskier include “travel[ing] long distances to retailers” and “display[ing] suspect activity.” Thomson Reuters also offered a free trial of its CLEAR service to the DCDHS as an incentive to sign the Pondera contract quickly. CLEAR is “powered by billions of data points” and claims to “identif[y] potential concerns associated with people.” The system is used by Immigration & Customs Enforcement and other law enforcement agencies in the U.S. EPIC is pursuing more information about DCDHS’s use of Pondera systems and mapping out automated decision-making tools used in D.C. through the EPIC Scoring and Screening Project. EPIC advocates for algorithmic transparency and accountability, particularly for systems used to make high-impact decisions like public benefit determinations. --8<---------------cut here---------------end--------------->8--- il documento completo è questo: https://epic.org/foia/dc/dhs/screening-scoring/EPIC-21-06-25-DC-DHS-FOIA-20210719-Production-Pondera-Contract.pdf --8<---------------cut here---------------start------------->8--- [...] The goals of the System are: 1) to implement a fraud detection service that leverages the data of recipient eligibility, EBT transactions, and third party information in a single platform; 2) to enhance the efficiency of DHS SNAP FID activities by generating leads which increase desired performance outcomes of catching and reducing fraud; 3) to proactively flag and triage instances of potential EBT trafficking; 4) to map relationships among fraudulent actors through the analysis of data used by the system and social media data mining; 5) to monitor and track outcomes of investigations and suspected individuals to mitigate fraud at the point of application for high risk applicants; 6) to improve fraud case management and reporting from initial fraud referral through disposition. [...] --8<---------------cut here---------------end--------------->8--- Saluti, 380° -- 380° (Giovanni Biscuolo public alter ego) «Noi, incompetenti come siamo, non abbiamo alcun titolo per suggerire alcunché» Disinformation flourishes because many people care deeply about injustice but very few check the facts. Ask me about <https://stallmansupport.org>.
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