Join the conversation on ethical AI via these other platforms as well: YouTube: https://lnkd.in/gpVfrDhd Twitter/X: https://lnkd.in/d7j_Yt86 ?
Good Systems - Ethical AI at UT Austin
研究服务
Austin ,TX 574 位关注者
Designing AI technologies that benefit society is our grand challenge.
关于我们
Artificial Intelligence is changing the way we do nearly everything because it's increasingly everywhere – from streaming apps to generative AI to the most advanced military weapons systems – and because it is increasingly powerful. Yet AI technologies have the capacity to be harmful in ways we might not predict. Good Systems is a University of Texas at Austin research grand challenge that seeks to design AI technologies alongside broader policy and decision-making systems that can protect and improve our world. Our interdisciplinary campus-wide research effort brings together humanists, social scientists, and technologists to investigate how to define, evaluate, and build ethical AI systems that will transform society for the better.
- 网站
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https://bridgingbarriers.utexas.edu/good-systems
Good Systems - Ethical AI at UT Austin的外部链接
- 所属行业
- 研究服务
- 规模
- 51-200 人
- 总部
- Austin ,TX
- 创立
- 2019
- 领域
- Artificial Intelligence和AI
动态
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Thank you to Chelsea Collier (Digi.City), Matt Lease (School of Information - The University of Texas at Austin), Daniel Culotta (City of Austin), Junfeng Jiao (The University of Texas at Austin School of Architecture), Luis Sentis (Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin) and the Year of AI #AILive team for making our panel discussion, “Responsible AI Innovation,” so meaningful. Watch or revisit the discussion to hear insights on stakeholder engagement in AI development, university–city research partnerships and ensuring that ethics-centered approaches meet the fast pace of innovation: https://bit.ly/4g5zhMT #TexasAI #AIEthics
Responsible AI Innovation: How AI Technologies Can Support Society's Greatest Needs
https://www.youtube.com/
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How can artificial intelligence be used to help address some of society’s greatest challenges? Join us at the Year of AI’s closing celebration, AI LIVE on November 15 (https://bit.ly/3BTAp7I ), where our leaders and key partners will explore what it means to build beneficial human-AI partnerships and how values-driven innovation can advance equity, sustainability, and improve quality of life for all.?? ? Luis Sentis (Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Texas Robotics) moderates a forward-looking conversation with panelists Chelsea Collier (Digi.City), Daniel Culotta (City of Austin), Matt Lease (School of Information - The University of Texas at Austin) and Junfeng Jiao (The University of Texas at Austin School of Architecture) as they delve into the potential benefits and risks of new AI applications, the ethical questions that are keeping them up, exciting new technological developments, and their hopes for the future.? ? RSVP: https://bit.ly/48nz0T4? ? #TexasAI #EthicalAI??
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Thanks largely to the rise of large language models, mis- and disinformation have spread faster and more convincingly throughout the 2024 election cycle. An interdisciplinary team of Good Systems researchers — including from the School of Information - The University of Texas at Austin, the Moody College of Communication and the UT School of Journalism & Media — are hard at work to protect information integrity. Read more: https://bit.ly/48y7Ad9
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How can artificial intelligence be used to help address some of society’s greatest challenges? Join us at the Year of AI’s closing celebration, AI LIVE on November 15 (https://bit.ly/3BTAp7I, where our leaders and key partners will explore what it means to build beneficial human-AI partnerships and how values-driven innovation can advance equity, sustainability, and improve quality of life for all. Luis Sentis (Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Texas Robotics) moderates a forward-looking conversation with panelists Chelsea Collier (Digi.City), Daniel Culotta (City of Austin), Matt Lease (School of Information - The University of Texas at Austin), and Junfeng Jiao (The University of Texas at Austin School of Architecture) as they delve into the potential benefits and risks of new AI applications, the ethical questions that are keeping them up, exciting new technological developments, and their hopes for the future. RSVP: https://bit.ly/48nz0T4 #TexasAI #EthicalAI
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Congratulations to the NSF National Research Trainees in Ethical AI!
UT NSF Ethical AI team participated the 2024 NSF NRT Annual Meeting and won the second best poster award out of over 50 universities. UT Ethical AI team (Junfeng Jiao Saleh Afroogh, Max B. Rudolph , Haley Triem , Huihai Wang Ahyoung Chang) participated the NSF Research Traineeship Annual Meeting 2024 and presented four posters: 1. Energy-Hungry Data Center: The quiet impact on urban energy consumption (Ahyoung Chang) 2. Tipping the Balance: Human Intervention in Large Language Model Multiagent Debate (Haley Triem) 3. Learning Action-based Representations Using Invariance (Max Rudolph) 4. Autonomous Robot Delivery System Adoption Strategy on Urban Logistics: A Case Study in Austin, TX (Huihai Wang) UT Ethical AI team’s research covered some of the most recent AI developments ranging from the fast increasing AI Energy consumption to GAI law chatbot debating to Agent and action based learning to Urban Autonomous robot delivery. Among them, poster #2 by Haley Triem from Texas iSchool won the second best poster award from the conference. Congratulations to Haley Triem and her supervisors Ying Ding, Ken Fleischmann. Also thanks to supports from other UT Ethical AI NRT team members: Peter Stone, Justin Hart, Luis Sentis, Min Kyung Lee, Ken Fleischmann , Joydeep Biswas, Tina Peterson and Good Systems - Ethical AI at UT Austin. The University of Texas at Austin School of Architecture, UT Austin Research Chandra Family Department of Electrical and Computer Engineering (Texas ECE - UT Austin ECE) UT Aerospace Engineering & Engineering Mechanics The University of Texas at Austin Texas iSchool Hook’em Horns.
NSF Research Traineeship Annual Meeting 2024 Agenda on Whova
whova.com
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Thank you to everyone who attended and presented at last week’s Good Systems Core Research Project Kickoff. It was exciting to see what our dedicated research teams have in store for 2024 – 25. #EthicalAI #TexasAI
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Good Systems - Ethical AI at UT Austin转发了
Have you seen the latest "Tech this Out" special from CBS Austin? Walt Maciborski and Michael Adkison delve into AI in Austin, from innovative technology development to university research to AI policy. The segment features insights from Austin AI Alliance members Steve Mudd, CEO of Talentless AI, Daniel Culotta, Chief Innovation Officer at the City of Austin, Prof. Sherri Greenberg and Dr. Peter Stone of Good Systems - Ethical AI at UT Austin, and other thought leaders. Watch at: https://lnkd.in/gWxWrMzq #AI #Austin #AIInnovation #AIPolicy
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Good Systems - Ethical AI at UT Austin转发了
As the presidential campaign goes viral, so, too, does misinformation. #TEXASMoody researchers examine political trends ahead of Election Day For anyone who closely studies U.S. elections, this cycle has proven rife with opportunities to explore new facets of political culture, including how meme makers, social media influencers, AI technologies and misinformation are shaping campaigns, affecting voter turnout, and even potentially delegitimizing the election results when they do come in next month. “I strongly believe that when a politician says a piece of misinformation, it causes a lot of damage; a regular citizen, when they say something on social media, doesn’t quite have the same amount of attention. This is why I've become really interested in political and news influencers; they increasingly have this opinion leader role. It’s important to understand that they can also unintentionally spread misinformation.” —Josephine Lukito/UT Austin School of Journalism and Media Learn more: https://bit.ly/lukito24 Story by Mary Huber