Hey everyone! Oli is here, and I'm super passionate about everything related to data, AI, and machine learning. Currently, I'm lucky enough to work at the awesome Label Your Data company (love the name, right?). I'm a little tired of Twitter, so here I am.

I can't wait to share my thoughts and insights with all of you. Any suggestions on where to start? Or is there something specific you'd like me to talk about?
#AI #dataannotation #twittermigration #womenindata

#AI #GenerativeAI #Chatbots #Kenya #ContentModeration #DataAnnotation: "Annie Minoff: Data annotation basically means labeling images or text passages so that AI systems can learn from them. For example, labeling thousands of pictures of street scenes so that an AI system can learn what a stop sign or a tree looks like. But Bill's team wouldn't be labeling images for long, because in November of 2021 the job changed. Sama had a new client, OpenAI.

Karen Hao: OpenAI had basically tens of thousands of text passages that they needed labeled. So they would deliver these on a regular basis to Sama and workers would read each text passage one by one and then assign a label to it.

Annie Minoff: OpenAI wanted a system where if you asked the AI to write something awful, like a description of a child being abused or a method for ending your own life, the system would refuse to write that. It would filter out those bad responses before they got to you. But to do that, the AI has to know what child abuse and suicide are. Humans have to teach it. And that was the Sama worker's job, to read descriptions of extreme violence, rape, suicide, and to categorize those texts for the AI. Here's Bill, the team leader."

https://www.wsj.com/podcasts/the-journal/the-hidden-workforce-that-helped-filter-violence-and-abuse-out-of-chatgpt/ffc2427f-bdd8-47b7-9a4b-27e7267cf413

Thanks to all who joined us on Friday afternoon as we welcomed our #HCIISeminarSeries guest, Ding Wang, HCI Researcher at Google AI. We enjoyed the talk "The Work of Data Annotation and Annotator Diversity" and thoughtful conversation during Ding's visit.

📸: Rosemary

#cmuhcii #DataAnnotation

#cloudfactory is a leading #dataannotation platform for #machinelearning. Its #nepal branch is now threatened by a new tax law that encourages #microWorkers to earn foreign currencies. Consequence: the #platform uses foreign sister companies to pay their workers. https://restofworld.org/2022/nepals-new-tax-scheme/

Question for The Collective: I'm looking for examples of #CommunityGoverned #SemanticModels, specifically thinking of use cases for #DataAnnotation of researcher archives. If you have examples of #Workflows great, but I'm mostly interested in the development and governance of the underlaying #dictionary and/or #ontology. #OpenScience #OpenSource #FAIRdata #CAREdata

Using our Clean, Ready to Use, Enriched, and Expert Curated Data Sets can save you up to 4000+ hours in data preparation.

Learn more: hubs.li/Q01syJMm0  

#healthcareai #healthcaredatamining #dataannotation #bigdatadeveloper #ai #healthcaemodel #digitalhealth #johnsnowlabs

Hi everyone, I’m looking to speak with people in the #datalabeling #dataannotation industry in #Telangana or across any of the South Indian states. Any leads would be appreciated