WEBINAR ABOUT THE SEASONAL SCHOOL ”THE RESPONSIBLE DATA SOCIETY: RULES AND METHODS FOR AI AND DATA ANALYTICS, BEYOND PRIVACY”
5th of February 2021
Author: adminlider
WEBINAR DI PRESENTAZIONE DELLA SEASONAL SCHOOL ”THE RESPONSIBLE DATA SOCIETY: RULES AND METHODS FOR AI AND DATA ANALYTICS, BEYOND PRIVACY”
5 febbraio 2021
The manifesto paper “Give more data, awareness and control to individual citizens, and they will help COVID-19 containment” has been published on the journal “Ethics and Information Technology”.
Abstract
The rapid dynamics of COVID-19 calls for quick and efective tracking of virus transmission chains and early detection of outbreaks, especially in the “phase 2” of the pandemic, when lockdown and other restriction measures are progressively withdrawn, in order to avoid or minimize contagion resurgence. For this purpose, contact-tracing apps are being proposed for large scale adoption by many countries. A centralized approach, where data sensed by the app are all sent to a nationwide server, raises concerns about citizens’ privacy and needlessly strong digital surveillance, thus alerting us to the need to minimize personal data collection and avoiding location tracking. We advocate the conceptual advantage of a decentralized approach, where both contact and location data are collected exclusively in individual citizens’ “personal data stores”, to be shared separately and selectively (e.g., with a backend system, but possibly also with other citizens), voluntarily, only when the citizen has tested positive for COVID-19, and with a privacy preserving level of granularity. This approach better protects the personal sphere of citizens and afords multiple benefts: it allows for detailed information gathering for infected people in a privacy-preserving fashion; and, in turn this enables both contact tracing, and, the early detection of outbreak hotspots
on more fnely-granulated geographic scale. The decentralized approach is also scalable to large populations, in that only the data of positive patients need be handled at a central level. Our recommendation is two-fold. First to extend existing decentralized architectures with a light touch, in order to manage the collection of location data locally on the device, and allow the user to share spatio-temporal aggregates—if and when they want and for specifc aims—with health authorities, for instance. Second, we favour a longer-term pursuit of realizing a Personal Data Store vision, giving users the opportunity to contribute to collective good in the measure they want, enhancing self-awareness, and cultivating collective eforts for rebuilding society.
Click here to read the Manifesto Give more data, awareness and control to individual citizens, and they will help COVID-19 containment | SpringerLink
E’ stato pubblicato sulla rivista ”Ethics and Inormation Technology” il Manifesto “Give more data, awareness and control to individual citizens, and they will help COVID-19 containment”
Clicca qui per leggere il Manifesto Give more data, awareness and control to individual citizens, and they will help COVID-19 containment | SpringerLink
The Third SoBigData++ Awareness Panel Medical Device Regulation and Digital Health: Problems and Perspectives will take place on-line on 15th of February 2021 at 3 p.m.
The Medical Device Regulation (MDR) is critical for digital health (DH) firms. While businesses increasingly leverage the potential of Artificial Intelligence (AI), from wearables for health monitoring and self-care apps to machine learning analysis of medical images, compliance with the MDR becomes a top priority: many DH /AI devices will need to be certified as medical devices (MD). However, this is not the only legal challenge for operators. DH / AI tools also require GDPR compliance and may pose critical product liability concerns. At the same time, such devices have the potential of disrupting traditional NHS governance models, but existing institutional arrangements seem to prevent the exploitation of their full potential. The webinar aims to clarify these aspects for the benefit of manufacturers, public health officials, counsels, and lawyers.
Agenda
15.00 – 15.15 Medical Devices (or not) in the Age of Human Enhancement?
Prof. Dr. Paul Quinn, VUB
15.15 – 15.30 Data Protection for DH/AI Devices: the Search for Standards and Certifications
Dr. Giulia Schneider, SSSA
15.30 – 15.45 How MD Product Liability is Poised to Develop With the Rise of DH and AI
Dr. Andrea Parziale, SSSA
15.45 – 16.00 Advancing Digital Health Governance: Ethical and Policy Aspects
Dr. Alessandro Blasimme, ETH
16.00- 16.15 Issues in Translational Biases in the Digital Health Sector
Prof. Dr. Giovanni Comandè, SSSA
16.15 – 16.30 Discussion (Q&A)
Join us on Webex:
https://sssup.webex.com/sssup/j.php?MTID=m4b2e47e0dff57914b70dee763c7e8831
For info: segrliderlab@santannapisa.it
ph. +39 050883533
Categories
LeADS – Kick-off Meeting
Il primo kick-off meeting del Progetto H2020 Innovative Training Network LeADS – Legality Attentive Data Scientists (GA No. 956562), di cui la Scuola Superiore Sant’Anna è coordinatore e il Prof. Giovanni Comandé responsabile scientifico, si terrà nei giorni: 2 e 3 febbraio 2021
#SavetheDate Venerdì 5 febbraio dalle ore 17.00, la Scuola Superiore Sant’Anna di #Pisa promuove un seminario per approfondire la #SeasonalSchool “The Responsible Data Society: Rules and Methods for AI and data analytics, beyond Privacy”.
Maggiori info sul sito https://bit.ly/3qWRTVN
Il link per seguire l’evento da Facebook
https://fb.me/e/1YFR5XjBp
Bridging the gap between data science and law
The emergence of data science has raised a wide range of concerns regarding its compatibility with the law, creating the need for experts who combine a deep knowledge of both data science and legal matters. The EU-funded LeADS project will train early-stage researchers to become legality attentive data scientists (LeADS), the new interdisciplinary profession aiming to address the aforementioned need. These scientists will be experts in both data science and law, able to maintain innovative solutions within the realm of law and help expand the legal frontiers according to innovation needs. The project will create the theoretical framework and the practical implementation template of a common language for co-processing and joint-controlling basic notions for both data scientists and jurists. LeADS will also produce a comparative and interdisciplinary lexicon.
Overall LEADs envisage to open 15 positions for ESRs and hopes to enable all ESR to enrol in a PhD program.
In the file attached are listed the position envisaged at each Beneficiary with corresponding contacts for further information and Expression of interest
Bridging the gap between data science and law
The emergence of data science has raised a wide range of concerns regarding its compatibility with the law, creating the need for experts who combine a deep knowledge of both data science and legal matters. The EU-funded LeADS project will train early-stage researchers to become legality attentive data scientists (LeADS), the new interdisciplinary profession aiming to address the aforementioned need. These scientists will be experts in both data science and law, able to maintain innovative solutions within the realm of law and help expand the legal frontiers according to innovation needs. The project will create the theoretical framework and the practical implementation template of a common language for co-processing and joint-controlling basic notions for both data scientists and jurists. LeADS will also produce a comparative and interdisciplinary lexicon.
Overall LEADs envisage to open 15 positions for ESRs and hopes to enable all ESR to enrol in a PhD program.
In the file attached are listed the position envisaged at each Beneficiary with corresponding contacts for further information and Expression of interest
CHIUSE LE MANIFESTAZIONI D’INTERESSE
Stiamo cercando candidati per lo sviluppo della piattaforma Predictive Justice
Sei interessato a lavorare al progetto Predictive Justice?
Il progetto Predictive Justice, guidato da LiberLab ed EMbeDS della Scuola Superiore Sant’Anna, mira a creare il primo ambiente completamente automatizzato per l’analisi del sistema giudiziario utilizzando lo stato dell’arte dei modelli di NLP addestrati su documenti legali. La piattaforma sarà applicata per analizzare casi di studio specifici, per creare algoritmi predittivi volti a ricostruire il ragionamento giuridico sottostante, spiegare il ragionamento dietro ogni decisione per i diversi stakeholder, identificare possibili tendenze/bias, semplificare i compiti legali e proporre riforme del sistema giudiziario basate su best practices.
Lavoreresti in un team interdisciplinare altamente motivato (accademici, giudici, avvocati, startupper) contribuendo allo sviluppo di strumenti automatizzati per la classificazione del testo, il riconoscimento di entità, l’anonimizzazione e l’apprendimento automatico applicabile al settore legale.
Il candidato/a ideale ha maturato esperienza in statistica, elaborazione del linguaggio naturale, estrazione di testo e gestione del ciclo di vita di un progetto di machine learning.
La collaborazione tramite assegno di ricerca annuale potrebbe proseguire oltre ed eventualmente svilupparsi nella partecipazione in un percorso dottorale. Le persone interessate devono inviare richieste a g.comande@santannapisa.it e segrliderlab@santannapisa.it, includendo una lettera di presentazione per motivare il loro interesse e il CV (massimo 3 pagine).
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IMPORTANTE: questa non è ancora un offerta di lavoro. Sulla base delle dichiarazione di interesse pervenute La Scuola Superiore Sant’Anna si riserva la facoltà di aprire o no eventuali bandi.