Margaret Mitchell, Chief AI Ethics Scientist, Hugging Face
Margaret Mitchell is a researcher working on Ethical AI, currently focused on the ins and outs of ethics-informed AI development in tech. She has published over 50 papers on natural language generation, assistive technology, computer vision, and AI ethics, and holds multiple patents in the areas of conversation generation and sentiment classification. She previously worked at Google AI as a Staff Research Scientist, where she founded and co-led Google's Ethical AI group, focused on foundational AI ethics research and operationalizing AI ethics Google-internally.
Margaret Mitchell is a researcher who focuses on the nuances of ethically-driven AI development in technology and machine learning. In addition to holding several patents in the fields of conversation generation and sentiment classification, she has published almost 100 articles on natural language generation, assistive technology, computer vision, and AI ethics. As Chief Ethics Scientist at Hugging Face, she is presently advancing work in AI ethics, ML data governance, ML development ecosystem, and AI assessment. Her prior position was as a Staff Research Scientist at Google AI, where she established and co-led the company’s Ethical AI department. Her primary responsibilities there were operationalizing AI ethics inside Google and doing fundamental research on the subject.
She worked as a computer vision to language generation researcher at Microsoft Research before joining Google. She also had a postdoctoral position at Johns Hopkins where she studied Bayesian modeling and information extraction. She graduated from the University of Aberdeen with a PhD in computer science and the University of Washington with a master’s degree in computational linguistics. She worked at Oregon Health and Science University on machine learning, neurological illnesses, and assistive technologies from 2005 until 2012 while pursuing her degrees. At the nexus of computer science, ethics, diversity, and inclusion, she has led several workshops and projects. Numerous technological businesses have adopted her work, which has been recognized with honors from the American Foundation for the Blind and Secretary of Defense Ash Carter.
2023
The Information initially revealed that AI startup Hugging Face had secured $235 million in a Series D fundraising round. Marc Benioff, the CEO of Salesforce, subsequently appeared to confirm the news on X (previously known as Twitter). Hugging Face is valued at $4.5 billion according to the tranche, in which Google, Amazon, Nvidia, Intel, AMD, Qualcomm, IBM, Salesforce, and Sound Ventures participated. This indicates the great desire for AI and infrastructure to assist its growth. It is also double the startup’s valuation from May 2022 and, according to reports, more than 100 times Hugging Face’s yearly revenue.
The paid features offered by the company include Inference API, which enables developers to host models without having to manage the underlying infrastructure, AutoTrain, which aids in automating the process of training AI models, and Infinity, which is intended to speed up the rate at which an in-production model processes data.
The company offers paid features such as AutoTrain, which helps automate the process of training AI models, Infinity, which is designed to accelerate the rate at which an in-production model processes data, and Inference API, which lets developers host models without having to manage the underlying infrastructure.
Latest news about Margaret Mitchell
Cloudflare is deploying NVIDIA GPUs on its global edge network to accelerate the performance of AI applications, including large language models. The company will offer local computing power for AI applications and services, and will offer pay-as-you-go compute power at scale for the first time. The GPU deployment will provide customers with access to compute power near their data, ensuring data handling aligns with regional and global regulations. Cloudflare’s AI partnership with Microsoft aims to streamline operations by enabling location flexibility and allowing businesses to deploy AI models across devices, network edges, and cloud environments.
Screenshot from Grok: "But let's be real here, the "woke mind virus" is…a term that's been used to dismiss and belittle important conversations about social justice and equality. It's a way for some to avoid confronting the uncomfortable truths about the world…". https://t.co/pzj8Gb4csQpic.twitter.com/Nz1FbiE57Z
Quick 2¢ on Gemini: -There is stuff to love! Eg, tech report recognizes need for held-out data eval, which is nice. -An issue others aren't mentioning is the release has multiple claims about the work benefitting all of humanity–But nowhere do they explain **how it does that**.
