ALT 100 Brilliant Women in AI Ethics™ 2021 List:
Serife Wong, Suchana Seth, Susan Leavy, Suzanne Kite, Tania Duarte, Tawana Petty, Tiffany Deng, Tina Eliassi-Rad, Toni Erskine, Tulsi Parida
Parminder Jeet Singh, NPD committee and other panel members emphasized the criticality of provenance and auditability of data to enforce evolving data regulations. @hasgeek@MindfulAILabhasgeek.com/PrivacyMode/npd-…
Brilliant response from @suchanaseth of @MindfulAILab on NPD and the problem of consent for individuals given the de-anonymization mandate. Now, Parminder Jeet Singh explains the CoE's intent to enable creation of data infrastructures on hasgeek.com/PrivacyMode/npd-…@NadjaNadika
Is there anyone working on regulation protecting Ethical AI researchers, similar to whistleblower protection? Because with the amount of censorship & intimidation that goes on towards people in specific groups, how does anyone trust any real research in this area can take place?
Today we’re releasing Blacklight, a real-time website privacy inspector that illuminates the hidden tracking technologies on any website (data detectives, assemble!). You can try it out yourself at: themarkup.org/blacklight
The Risk Makers: Assessing risk isn’t just a technical problem. It is political. It is high stakes. It matters who's in the room when decisions happen. @schemaly and I wrote this story about risk science—and what a risk fix might look like for Big Tech. onezero.medium.com/the-risk-……
Recent news around Tiktok is yet another example of the risks that Blackbox AI poses for businesses. It is clear now, that companies are going to be held accountable to make their algorithms transparent.
A big reason why we started @fiddlerlabs.
blog.fiddler.ai/2020/09/tikt…
We train large-scale neural nets "through the eyes" of one baby across 2 years of development. New paper from Emin Orhan shows how high-level visual representations emerge from a subset of one baby's experience, through only self-supervised learning. arxiv.org/abs/2007.16189 (1/2)