#algorithmhr 搜索结果

Livestreaming: Tyranny of the Algorithm? Predictive Analytics & Human Rights @NYUBernstein ow.ly/ZNUVA #AlgorithmHR


#AlgorithmHR Learned a new phrase today: Counter speech Ick.


Our fetish w/ security makes us reduce the future to one worst case scenario -Didier Bigo on #datafication #preventivepolicing #algorithmHR


#AlgorithmHR ZUCKERMAN goes to China. Can we write on his Great Wall?


@NYUBernstein The livestream is down for the #AlgorithmHR conference.


@LatanyaSweeney provides poignant examples of how our experience can be shaped by stereotypes embedded in algorithms. #AlgorithmHR


How can algorithms be used to attack bias? Would it truly address bias or shift it? #AlgorithmHR


Does predictive analytics challenge one's belief that people control their own destiny. #FreeWill #AlgorithmHR


#AlgorithmHR The livestream went offline. Are you no longer broadcasting the last sessions?


Wisdom from @riteshkotak at #algorithmhr: Police hate change, but they don’t like the way things are.


Attending conf. to see how predictive analytics can inform our cont. work on gender bias in the judiciary (Pacific Islands). #AlgorithmHR


"Missing data is never missing at random" - Patrick Ball @hdrag explains how selection bias causes problems #AlgorithmHR


Should we use predictive analytics for crime prevention or to provide services to communities disproportionately hurt by crime? #AlgorithmHR


Ok, 1st case study panel of #AlgorithmHR - predictive policing


How can public scrutiny occur when there are propriety algorithms? #AlgorithmHR #policing


Serial #job hoppers are not necessarily bad #candidates but how can we prove it? #AlgorithmHR #HRTech #humancloud hbr.org/tip/2016/03/do…


storify: conference: Tyranny of Algorithm? Predictive Analytics & Human Rights @NYUBernstein #legaltech #algorithmhr storify.com/richards1000/t…


Serial #job hoppers are not necessarily bad #candidates but how can we prove it? hbr.org/tip/2016/03/do… #AlgorithmHR #HRTech #humancloud


How many candidates lie about their background? Surely there's a better way to assess #talent inc.com/suzanne-lucas/… #AlgorithmHR #HRTech


Eager to learn more abt Data on Police Violence? Check out this fantastic article by #AlgorithmHR speaker @vm_wylbur ow.ly/ZRvV5


Wisdom from @riteshkotak at #algorithmhr: Police hate change, but they don’t like the way things are.


We can only protect communities if we know them, not just visit 'm in case of violent crime @FaizaPatelBCJ #algorithmHR #predicitvepolicing


Bigo warning that scientific veneer of hi tech increases risk that officials won't take responsibility for their decisions #AlgorithmHR


Twitter had taken down 125k accounts this year @FaizaPatelBCJ in accordance w terms of service. But vagueness in those terms #algorithmhr


Long term successful community engagement doesn't involve instrumentalizing that engagement @FaizaPatelBCJ #algorithmhr


We must distinguish btwn 'forecasting' & 'predicting' when using #BigData as policytool. Political judgement is crucial #AlgorithmHR @nyulaw


Presenting #bigdata as objective just bcs it goes thru a pc is problematic -Didier Rigo #SciencePoParis @KingsCollegeLon #AlgorithmHR


Intelligence professionals don't aspire to "perfect knowledge" but to reach somewhere "better than guessing" Sam Rascoff #algorithmhr


Sam Rascoff pushing speakers at #algorithmhr counterterrorism panel to apply their insights to #Brussels today


the impact of #Algorithmicpolicing in practice in #Ontario #AlgorithmHR

#AlgorithmHR new regulations announced for policing in Ontario



.@FaizaPatelBCJ talking at #AlgorithmHR If you haven't read het Rethinking Radicalization, do it! Especially today brennancenter.org/sites/default/…


Estamos presentes en la última conferencia de #AlgorithmHR


#AlgorithmHR all ready to go! If you're not here in person join the livestream at 1.30est law.nyu.edu/livestream

bechamilton's tweet image. #AlgorithmHR all ready to go! If you're not here in person join the livestream at 1.30est law.nyu.edu/livestream

Loading...

Something went wrong.


Something went wrong.


United States Trends