The next few years will see wide ranging regulation of biometrics. Our new compendium highlights lessons learned from the last decade of regulatory attempts. This summary by @ambaonadventure ainowinstitute.org/regulatingbiom… captures themes & questions for the future of biometric tech:
How should biometric data be defined? Do emotion recognition systems fall within the definition of biometrics in the law? How should biometric data be defined? Do emotion recognition
Why have data protection laws like the #GDPR failed to curb the expansion of biometric surveillance infrastructure by governments across the world? What are the limits of this approach? Why have data protection laws failed to curb the expansion o
How should regulation address concerns about inaccuracy and discrimination in biometric systems? How should regulation address concerns about inaccuracy and
What could be the fallout of a “risk based” regulatory approach to different use cases for biometrics (e.g. “identification” v “verification”)? What could be the fallout of a “risk based” regulatory a
What does due process for facial recognition look like in the criminal justice system? Should law enforcement have access to biometric systems to begin with? What due process safeguards are required for the use of faci
How can the “conditions” for lifting moratorium laws be strengthened to ensure that eventual legislative or deliberative processes are robust and democratic? How can the “conditions” for lifting moratorium laws be
What regulatory tools could create public transparency around the development, purchase, and use of biometric systems? What regulatory tools could create public transparency aroun
What role can community-led advocacy play in shaping the priorities and impact of biometric regulation? What role can community-led advocacy play in shaping the pri

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More from @AINowInstitute

24 Sep 19
Many algorithmic systems continue to exhibit bias and errors, yet governments still use them to make life-changing decisions. Our new report with @RaceNYU looks at those taking the fight to court—what’s working, what’s not, and where we need to focus next: ainowinstitute.org/litigatingalgo…
@RaceNYU Recommendation 1: Assess the success of litigation by measuring structural change within government agencies and their programs, rather than through isolated or narrow changes to specific ADS.
Recommendation 2: Consider litigation as a rallying point and megaphone to amplify the voices of those personally impacted by ADS.
Read 11 tweets
16 Oct 18
We’re starting off our #AINow2018 Symposium with a year in review by @katecrawford @mer__edith hitting on some key questions—How do we ensure ethics in tech? How do we create accountability over our tools? And how do we organize for it all?
“We’re gonna give you a tour of what happened this year” says @katecrawford, presenting visualization of data breaches from Cambridge Analytics to Facebook, organizing against Amazon’s Rekognition & Google’s Maven, tool supporting ICE from Palantir, & more.
@katecrawford mentions the first self-driving car fatalities, an explosion in facial recognition tech, Facebook ads violating fair housing rules,

“That’s a tiny sample of what has been a hell of a year.”
Read 6 tweets

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