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AskScience AMA Series: I'm Hayley Tsukayama, tech journalist and data privacy advocate. I research how your data is used on the internet. AMA!
AskScience AMA Series: I'm Hayley Tsukayama, tech journalist and data privacy advocate. I research how your data is used on the internet. AMA!
Computing

I'm Hayley Tsukayama (she/her), and I am Associate Director of Legislative Activism at the Electronic Frontier Foundation. I was thrilled to talk to the Secrets in Your Data about the shady, scary world of data brokers. You can find that doc here: https://bit.ly/3LJE7Cp

In my day job, I work with EFF's legislative team to craft our positions and public messaging about state bills on EFF issues such as privacy, right to repair, broadband access and surveillance. I also collaborate with community groups, other policy advocates, and state lawmakers on EFF legislative priorities across the country. Additionally, I advocate for strong consumer data privacy legislation at the state and national level. Prior to joining EFF, I spent nearly eight years as a consumer technology reporter at The Washington Post writing stories on the industry's largest companies. I am CIPP/US certified by the International Association of Privacy Professionals.

Ask me anything about how your data is used on the internet and the future of data use in everyday technology: fitness apps, home assistants, cars, etc.

I'll be on between 11-12pm ET (15-16 UT), AMA!

Username: u/novapbs


AskScience AMA Series: I am a computer scientist at the University of Maryland. My research focus is on trustworthy machine learning, AI for sequential decision-making and generative AI. Ask me all your questions about artificial intelligence!
AskScience AMA Series: I am a computer scientist at the University of Maryland. My research focus is on trustworthy machine learning, AI for sequential decision-making and generative AI. Ask me all your questions about artificial intelligence!
Computing

Hi Reddit! I am a computer scientist from the University of Maryland here to answer your questions about artificial intelligence.

Furong Huang is an Assistant Professor in the Department of Computer Science at the University of Maryland. She specializes in trustworthy machine learning, AI for sequential decision-making, and generative AI and focuses on applying foundational principles to solve practical challenges in contemporary computing.

Dr. Huang develops efficient, robust, scalable, sustainable, ethical and responsible machine learning algorithms that operate effectively in real-world settings. She has also made significant strides in sequential decision-making, aiming to develop algorithms that not only optimize performance but also adhere to ethical and safety standards. She is recognized for her contributions with awards including best paper awards, the MIT Technology Review Innovators Under 35 Asia Pacific, the MLconf Industry Impact Research Award, the NSF CRII Award, the Microsoft Accelerate Foundation Models Research award, the Adobe Faculty Research Award, three JP Morgan Faculty Research Awards and Finalist of AI in Research - AI researcher of the year for Women in AI Awards North America.

Souradip Chakraborty is a third-year computer science Ph.D. student at the University of Maryland advised by Dr. Furong Huang. He works on the foundations of trustworthy reinforcement learning with a focus on developing safe, reliable, deployable and provable RL methods for real-world applications. He has co-authored top-tier publications and U.S. patents in artificial intelligence and machine learning. Recently he received an Outstanding Paper Award (TSRML workshop at Neurips 2022) and Outstanding Reviewer Awards at Neurips 2022, Neurips 2023 and AISTATS 2023.

Mucong Ding is a fifth-year Ph.D. student in computer science at the University of Maryland, advised by Dr. Furong Huang. His work broadly encompasses data efficiency, learning efficiency, graph and geometric machine learning and generative modeling. His recent research focuses on designing a more unified and efficient framework for AI alignment and improving their generalizability to solve human-level challenging problems. He has published in top-tier conferences, and some of his work has been recognized for oral presentations and spotlight papers.

We'll be on from 2 to 4 p.m. ET (18-20 UT) - ask us anything!

Other links:

Username: u/umd-science


AskScience AMA Series: We're an international consortium of scientists working in the field of NeuroAI: the study of artificial and natural intelligence. We're launching an open education and research training program to help others research common principles of intelligent systems. Ask us anything!
AskScience AMA Series: We're an international consortium of scientists working in the field of NeuroAI: the study of artificial and natural intelligence. We're launching an open education and research training program to help others research common principles of intelligent systems. Ask us anything!
Computing

Hello Reddit! We are a group of researchers from around the world who study NeuroAI: the field of studying artificial and natural intelligence. We come from many places:

We are working together through Neuromatch, a global nonprofit research institute in the computational sciences. We are launching a new course hosted at Neuromatch if you want to register.

We have many people who are here to answer questions from our consortia and would love to talk about anything ranging from state of the field to career questions or anything else about NeuroAI.

We'll start at 12:00 Eastern US (16 UT), ask us anything!

Follow us here: