💗💔 Google 💗💔

 Published Date: August 17, 2019

Google Document Dump

Insider Blows Whistle & Exec Reveals Google Plan to Prevent “Trump situation” in 2020 on Hidden Cam

https://tatoott1009.com/2019/06/25/insider-blows-whistle-exec-reveals-google-plan-to-prevent-trump-situation-in-2020-on-hidden-cam/

Google Resume - Maricia Scott megant - Teams news black list site for google now Page level domain restrction 2017_10_02_us_las-vegas-attack-deadliest-us-mass-shooting-trnd_index

Paul Haahr_ Google Resume Realtime Boost - DesignDoc Realtime Boost Realtime Events - preso RealtimeBoost Events DesignDoc Search - Accelerated Mobile Pages (AMP) - Grow Twiddler Quick Start Guide - Superroot

[Global] Google efforts to address Fake News – 2016 Q4″]

danielrocha@google Expanding Collaboration for News Quality

fake news in search - principle engineer - paul haahr - haahr@google Feeding WebSpam manual actions to News (Design Doc)

Fwd_ Fake News-letter 11_27_ Efforts to combat spread of (mis_dis)information - Google Groups youtube_controversial_query_blacklist

– Buganizer”]

– Buganizer”]

'covfefe' Translate Easter egg - Google Docs

– June-July GBO”]Diversity & Inclusion - solving a hard problem

Coffee Beans 2018 GMS D&I Manifesto - Driving Transformational Change (internal only) TI-Cloud D&I Basic Presentation (sabrinaf-ZRH) TGIF_ Diversity At Google - TGIF Share coffee-bean example outside Google - Google Groups Offer Review - Ann Arbor Preso

”]

Geo DiversityInclusion_ 2017 OKRs

AI-with-the-best fairness presentation Allegations of Algorithmic Bias Investigation and Meta-Analysis Comms doc Fairness in machine learning Deck for participants- 2016-08 Serving Under-Represented Users in Recommenders with Focused Learning Definition of Algorithmic Unfairness - PRIVILEGED Exploring Public Perception of Algorithmic Unfairness Fair is not the default (gofair-not-default) (1) go-ml-fairness

ML Fairness

ML Fairness-resources

Privileged Confidential - ML Fairness Communication Best Practices

Seeds of Change- Root causes of algorithmic unfairness, and a path forward

Recordings for Past Decoding Race Speaker Events

**If you attended the previous talks, please fill out go/decodingrace-feedback so that we can keep making improvements. We want to hear your thoughts.**

Seeds of Change- Root causes of algorithmic unfairness, and a path forward

Privileged Confidential - ML Fairness Communication Best Practices ML Fairness ML Fairness-resources AI-with-the-best fairness presentation AI-with-the-best fairness presentation Allegations of Algorithmic Bias Investigation and Meta-Analysis Comms doc Fairness in machine learning Deck for participants- 2016-08 Serving Under-Represented Users in Recommenders with Focused Learning Definition of Algorithmic Unfairness - PRIVILEGED Deck for participants- 2016-08 Serving Under-Represented Users in Recommenders with Focused Learning Exploring Public Perception of Algorithmic Unfairness Fair is not the default (gofair-not-default) (1) go-ml-fairness

myoshamcafee - Teams

myoshamcafee - Teams

Re_ go_bad_ [american inventors] from jasonbaldridge – Google Groups”]

RMI Diversity Summit - Blaise 15m version (yes really) Sojourn - people amieninh - Teams
Beginner's Guide to Protesting (#GooglersUnite) Bias Busting for Machines - Google+ BUSINESS Multicultural capacity framework - Robbins 2014 - rev. 4-11-17 Dr. Myosha McAfee _ LinkedIn

 

 

 

 

Author: tatoott1009.com