Hi Twitter! I'm in need of (a lot of) annotated IDA/Ghidra/BinaryNinja/R2 databases for a research project. I'll make it worth your while for your help ☺️ DMs open
Registration is open for Tech Policy Workshop, Nov 16-17 at @usfca. I'm excited about our speaker line-up! Anyone interested in the impact of data misuses on society & the intersection with policy is welcome to join us. Details here:
sfdatainstitute.org/@DataInstituteSF
By the way - the autoplay ran for another half hour or so. Once it hit a Fox clip, every single video played after it was a Fox segment - eight stories. How is a documentary I'm watching about animals on The Atlantic taking me there?
fastai v2 is be a total rewrite, and is a *huge* jump in quality over v1. It's now at a point where enthusiastic early adopters can start getting involved and trying things out. I've just created a new forum category for it - so come join us! :)
forums.fast.ai/t/about-the-f…
I don't think anyone understands what it is like to be an outspoken Black woman in this field. Someone who is technical while trying to learn from historians, tech critics, social scientists, and artists in this field.
Great fireside chat from @BHGosselink and @johnrcallery discussing @Google’s Global #AI Impact Challenge.
‘The back and fourth and partnerships between skill sets is one of the main drivers in the success of these AI/global impact projects’
#reworkAI#AIforGood
Fairwashing: the risk of rationalization. It it is possible to forge a fairer explanation from a truly unfair black box. Paper presented at #ICML2019 by @umaivodjarxiv.org/abs/1901.09749
ALT Since the right to explanation as defined in current regulations (Goodman & Flaxman, 2017) does not give precise
directives on what it means to provide a “valid explanation” (Wachter et al., 2017; Edwards & Veale, 2017), there
is a legal loophole that can be used by dishonest companies to cover up the possible unfairness of their black-box
models by providing misleading explanations. In particular,
due to the growing
ALT as promoting the false perception that the learning models
used by the company are fair while it might not be so.
In this paper, our main objective is to raise the awareness of
this issue, which we believe to be a serious concern related
to the use of black-box explanation. In addition, to provide
concrete evidence on this possible risk, we show that it is
possible to forge a fairer explanation from a truly unfair
bl
Bravo to @Inc for launching The Fundery, a searchable database of VCs who specifically invest in women entrepreneurs and in people of color: inc.com/essential-guide-vent…
Congrats to @Eva_Ho and @TXZhuo on their launch of $76M Fund II @FikaVC where they will continue investing in companies leveraging the power of data bit.ly/2M2KTar