Discover and read the best of Twitter Threads about #DifferentialPrivacy
Most recents (5)
Dies ist ein Thread über Künstliche Intelligenz (KI) und Datenschutz!
Lasst uns eintauchen! #KI #Datenschutz #Thread 🧵👇🧵
Lasst uns eintauchen! #KI #Datenschutz #Thread 🧵👇🧵
KI-Systeme lernen aus großen Mengen an Daten, um Entscheidungen zu treffen und Vorhersagen zu treffen.
Obwohl dies großes Potenzial hat, sind Datenschutzbedenken ein wichtiges Thema, das wir beachten müssen. #KünstlicheIntelligenz #Datensicherheit
Obwohl dies großes Potenzial hat, sind Datenschutzbedenken ein wichtiges Thema, das wir beachten müssen. #KünstlicheIntelligenz #Datensicherheit
Das Sammeln von persönlichen Daten ist oft notwendig, um KI-Modelle zu trainieren.
Dabei müssen wir jedoch sicherstellen, dass die Privatsphäre der betroffenen Personen gewahrt bleibt.
Anonymisierung und Pseudonymisierung sind mögliche Ansätze. #Datenschutz #Privatsphäre
Dabei müssen wir jedoch sicherstellen, dass die Privatsphäre der betroffenen Personen gewahrt bleibt.
Anonymisierung und Pseudonymisierung sind mögliche Ansätze. #Datenschutz #Privatsphäre
WOW do we have a lot going on at @ieeevis this year! @Northeastern @KhouryCollege #dataviz has been busy 🤯
Our website: visualization.khoury.northeastern.edu
Our schedule: docs.google.com/spreadsheets/d… #IEEEVIS
Our website: visualization.khoury.northeastern.edu
Our schedule: docs.google.com/spreadsheets/d… #IEEEVIS
@ieeevis @Northeastern @KhouryCollege ICYMI yesterday, we had THREE submissions to @altVISworkshop (all award-winners!):
"The worst graph layout algorithm ever": visualization.khoury.northeastern.edu/pubs/DiBartolo… cc @codydunne @sara_picorana
#IEEEVIS
"The worst graph layout algorithm ever": visualization.khoury.northeastern.edu/pubs/DiBartolo… cc @codydunne @sara_picorana
#IEEEVIS
@ieeevis @Northeastern @KhouryCollege @altVISworkshop @codydunne @sara_picorana Winning the @altVISworkshop "Most Dystopian" award,
"DyStopia: Into a potential future of IEEE VIS under Plan S" by @codydunne @lonnibesancon #IEEEVIS #planS #openscience
Read more: visualization.khoury.northeastern.edu/pubs/Besancon2…
"DyStopia: Into a potential future of IEEE VIS under Plan S" by @codydunne @lonnibesancon #IEEEVIS #planS #openscience
Read more: visualization.khoury.northeastern.edu/pubs/Besancon2…
Finally, the #GoldacreReview is published! (During Parliamentary Easter holidays, mid-ping-pong on the #HealthAndCareBill...)
It's 221 pages - each PDF page is a double page spread - so this could be a lo-o-o-ong [Thread].
Here goes...
It's 221 pages - each PDF page is a double page spread - so this could be a lo-o-o-ong [Thread].
Here goes...
First point to note, in the Terms of Reference (p5), is that this is about "access to #NHSdata by #researchers, #commissioners, and #innovators" - i.e. #Planning and #CommercialReUse - so it is directly relevant to the operation of millions of people's #NationalDataOptOuts...
"185 wide-ranging recommendations for us to explore", says @sajidjavid (p6). Gulp! Time for some coffee...
"systems that ensure #underrepresented groups are well represented" may (partly) refer to this "landmark review", which got off to a slow start:
gov.uk/government/new…
"systems that ensure #underrepresented groups are well represented" may (partly) refer to this "landmark review", which got off to a slow start:
gov.uk/government/new…
Quality of the #2020Census data -- a session on race and ethnicity coding.
Census follows the OMB 1997 standards, does not set the standards: 2 categories of ethnicity, 5 categories for race (AIAN, Asian, Black/AA, Native American/Pacific Islander, White) + "some other race"
Census follows the OMB 1997 standards, does not set the standards: 2 categories of ethnicity, 5 categories for race (AIAN, Asian, Black/AA, Native American/Pacific Islander, White) + "some other race"
The race and ethnicity questions help understand how people self-identify, so research into these is necessary to understand how the U.S. population evolves (more multiracial, more diverse than measured in the past)
There were some proposals to start offering "Middle Eastern / North African" (MENA), but they did not make it to the #2020Census.
Disclosure Avoidance for the #2020Census...
TL;DR?
Yes. It's rly dense material. Let me summarize it for you:
Good news! but also bad news.
Here's my thread...
1/n
TL;DR?
Yes. It's rly dense material. Let me summarize it for you:
Good news! but also bad news.
Here's my thread...
1/n
First, some recap: #DifferentialPrivacy is process that Census chose to distort #2020Census data tables. DP adds "random noise" to (actual) pop counts 👉🏽They do this to frustrate any1 who'd want to "sudoku solve" the age, race, & who's-related-to-who... in your neighborhood. 2/7
The GOOD news: Setting the data accuracy "budget" higher (announced in June) allows Census more accuracy (better than prev'ly discussed) for most counties & cities (all but the smallest). And almost-OK accuracy for other geogs of concern (AIAN areas, lege districts). 3/7
