I'm excited to announce I'm a 2020 @InsideNatGeo Emerging Explorer! To learn more about my work & the other Emerging Explorers, read: https://t.co/6ORtuoRAJx

Register to attend the "Emerging Voices in Exploration" free, virtual event on Oct. 1. 💛🌏🌍🌎 https://t.co/OsQ3ROyfse

— Dr. Joy Buolamwini (@jovialjoy) September 28, 2020

We are thrilled to announce Regina Barzilay of @MIT_CSAIL won the 1st $1 million AAAI Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity for her ML models for antibiotics and early breast cancer detection. Congrats Dr. Barzilay!https://t.co/BJL9TkkM9W

— AAAI (@RealAAAI) September 23, 2020

🌟Warmest congratulations to @danaikoutra, she was recognized with ACM SIGKDD Rising Star Award!🌟

Her research interests are in data science, w/ a focus on large-scale graph mining & summarization, network representation learning, & network neuroscience.https://t.co/b8FSchyEqh

— MichiganAI (@michigan_AI) September 3, 2020

For my latest piece for @thehill, I wrote about a decidedly non-controversial topic– #AI and #Bias.. 1/https://t.co/q3j68IPPgS

cc: @CIDSEASU @aifdn @asunews @ASUEngineering @RealAAAI @TheOfficialACM @PartnershipAI @aaas #AIbias @theNASEM

— Subbarao Kambhampati (కంభంపాటి సుబ్బారావు) (@rao2z) July 12, 2020

I had a rich and fascinating conversation with @ambaonadventure from @AINowInstitute about her latest report, which details eight case studies of how biometric systems are regulated around the world. Lots of lessons to be learned. 👀 https://t.co/6KAUNCw3U2

— Karen Hao (@_KarenHao) September 4, 2020

A GPT-3 bot has fooled people again, this time on Reddit. Most of its comments were harmless, but it also engaged with conspiracy theories and sensitive topics, including suicide. https://t.co/T5xlNPJiNn

— MIT Technology Review (@techreview) October 10, 2020

My latest for WSJ's Future of Everything issue: How will AI change the world? Six experts weigh in on the technology’s biggest challenges, dangers and opportunities. https://t.co/E5EgKXCQjv

— Sara Castellanos (@SCastellWSJ) August 10, 2020

Data Ethics course: https://t.co/1vLF2rzuTd
Deep Learning course: https://t.co/KgtHR2B9Vk
Data Science blog: https://t.co/ZWYKPXufDW
Diversity blog: https://t.co/cCuOAEtEAj
NLP: https://t.co/zC31JsKLwz
Talks: https://t.co/msa2Sh3UCI
Medicine, AI, & Bias: https://t.co/w1yK7GP5i0

— Rachel Thomas (@math_rachel) August 22, 2020

Announcing the new live-streamed Stanford MLSys Seminar Series, in which we will explore the frontier of machine learning and systems.
Read the full announcement: https://t.co/ELa13HawQG
Schedule: https://t.co/axEN2q7oti
Intro video: https://t.co/08LG50SZmp

— hazyresearch (@HazyResearch) October 13, 2020

We’re excited to announce the release of all materials for Yann LeCun’s Deep Learning, DS-GA 1008, co-taught in Spring 2020 with Alfredo Canziani @alfcnz. Learn more on our blog! https://t.co/bJgODI6Jzm #DeepLearning

— NYU Data Science (@NYUDataScience) October 7, 2020

Since today’s topic is how Twitter crops pics, flashback to this article I was in and um, some strange photo crops. https://t.co/rkK6tA1jDu

— ruchowdh.bsky.social (@ruchowdh) September 20, 2020

#ICML2020 videos + slides are here!#machinelearning #AIhttps://t.co/5ITHMhaf3G

— ICML Conference (@icmlconf) September 15, 2020