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相关论文: Foundation Model Transparency Reports

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Foundation models have rapidly permeated society, catalyzing a wave of generative AI applications spanning enterprise and consumer-facing contexts. While the societal impact of foundation models is growing, transparency is on the decline,…

Knowing more about the data used to build AI systems is critical for allowing different stakeholders to play their part in ensuring responsible and appropriate deployment and use. Meanwhile, a 2023 report shows that data transparency lags…

计算机与社会 · 计算机科学 2024-09-06 Sophia Worth , Ben Snaith , Arunav Das , Gefion Thuermer , Elena Simperl

As foundation models grow in both popularity and capability, researchers have uncovered a variety of ways that the models can pose a risk to the model's owner, user, or others. Despite the efforts of measuring these risks via benchmarks and…

密码学与安全 · 计算机科学 2025-06-04 David Piorkowski , Michael Hind , John Richards , Jacquelyn Martino

Foundation models are increasingly consequential yet extremely opaque. To characterize the status quo, the Foundation Model Transparency Index (FMTI) was launched in October 2023 to measure the transparency of leading foundation model…

机器学习 · 计算机科学 2025-03-06 Rishi Bommasani , Kevin Klyman , Sayash Kapoor , Shayne Longpre , Betty Xiong , Nestor Maslej , Percy Liang

AI and its relevant technologies, including machine learning, deep learning, chatbots, virtual assistants, and others, are currently undergoing a profound transformation of development and organizational processes within companies.…

密码学与安全 · 计算机科学 2024-12-11 Tingting Bi , Guangsheng Yu , Qin Wang

New capabilities in foundation models are owed in large part to massive, widely-sourced, and under-documented training data collections. Existing practices in data collection have led to challenges in tracing authenticity, verifying…

People who use social media are learning about how the companies that run these platforms make their decisions on who gets to see what through visual indicators in the interface (UI) of each social media site. These indicators are different…

人机交互 · 计算机科学 2026-02-10 Haoze Guo , Ziqi Wei

This paper explores the rapidly evolving ecosystem of publicly available AI models, and their potential implications on the security and safety landscape. As AI models become increasingly prevalent, understanding their potential risks and…

计算机与社会 · 计算机科学 2024-11-20 Huzaifa Sidhpurwala , Garth Mollett , Emily Fox , Mark Bestavros , Huamin Chen

The rapid advancement of foundation models in medical imaging represents a significant leap toward enhancing diagnostic accuracy and personalized treatment. However, the deployment of foundation models in healthcare necessitates a rigorous…

计算机视觉与模式识别 · 计算机科学 2024-10-08 Congzhen Shi , Ryan Rezai , Jiaxi Yang , Qi Dou , Xiaoxiao Li

Artificial intelligence is humanity's most promising technology because of the remarkable capabilities offered by foundation models. Yet, the same technology brings confusion and consternation: foundation models are poorly understood and…

人工智能 · 计算机科学 2025-07-01 Rishi Bommasani

As news organizations embrace transparency practices on their websites to distinguish themselves from those spreading misinformation, HCI designers have the opportunity to help them effectively utilize the ideals of transparency to build…

人机交互 · 计算机科学 2021-09-21 Md Momen Bhuiyan , Hayden Whitley , Michael Horning , Sang Won Lee , Tanushree Mitra

With the rise of foundation models, there is growing concern about their potential social impacts. Social science has a long history of studying the social impacts of transformative technologies in terms of pre-existing systems of power and…

人工智能 · 计算机科学 2025-04-04 Adam Davies , Elisa Nguyen , Michael Simeone , Erik Johnston , Martin Gubri

AI models and services are used in a growing number of highstakes areas, resulting in a need for increased transparency. Consistent with this, several proposals for higher quality and more consistent documentation of AI data, models, and…

Foundation models are powerful technologies: how they are released publicly directly shapes their societal impact. In this position paper, we focus on open foundation models, defined here as those with broadly available model weights (e.g.…

The field of AI alignment is increasingly concerned with the questions of how values are integrated into the design of generative AI systems and how their integration shapes the social consequences of AI. However, existing transparency…

计算机与社会 · 计算机科学 2026-02-10 Atrisha Sarkar , Isam Faik

Foundation model developers are among the world's most important companies. As these companies become increasingly consequential, how do their transparency practices evolve? The 2025 Foundation Model Transparency Index is the third edition…

Foundation models can be disruptive for future AI development by scaling up deep learning in terms of model size and training data's breadth and size. These models achieve state-of-the-art performance (often through further adaptation) on a…

人工智能 · 计算机科学 2022-12-20 Johannes Schneider

Today, Artificial Intelligence (AI) has a direct impact on the daily life of billions of people. Being applied to sectors like finance, health, security and advertisement, AI fuels some of the biggest companies and research institutions in…

计算机与社会 · 计算机科学 2022-05-10 Dario Garcia-Gasulla , Atia Cortés , Sergio Alvarez-Napagao , Ulises Cortés

Companies that develop foundation models publish behavioral guidelines they pledge their models will follow, but it remains unclear if models actually do so. While providers such as OpenAI, Anthropic, and Google have published detailed…

计算与语言 · 计算机科学 2025-10-24 Ahmed Ahmed , Kevin Klyman , Yi Zeng , Sanmi Koyejo , Percy Liang

AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks. We call these models foundation models to underscore their…

机器学习 · 计算机科学 2022-07-14 Rishi Bommasani , Drew A. Hudson , Ehsan Adeli , Russ Altman , Simran Arora , Sydney von Arx , Michael S. Bernstein , Jeannette Bohg , Antoine Bosselut , Emma Brunskill , Erik Brynjolfsson , Shyamal Buch , Dallas Card , Rodrigo Castellon , Niladri Chatterji , Annie Chen , Kathleen Creel , Jared Quincy Davis , Dora Demszky , Chris Donahue , Moussa Doumbouya , Esin Durmus , Stefano Ermon , John Etchemendy , Kawin Ethayarajh , Li Fei-Fei , Chelsea Finn , Trevor Gale , Lauren Gillespie , Karan Goel , Noah Goodman , Shelby Grossman , Neel Guha , Tatsunori Hashimoto , Peter Henderson , John Hewitt , Daniel E. Ho , Jenny Hong , Kyle Hsu , Jing Huang , Thomas Icard , Saahil Jain , Dan Jurafsky , Pratyusha Kalluri , Siddharth Karamcheti , Geoff Keeling , Fereshte Khani , Omar Khattab , Pang Wei Koh , Mark Krass , Ranjay Krishna , Rohith Kuditipudi , Ananya Kumar , Faisal Ladhak , Mina Lee , Tony Lee , Jure Leskovec , Isabelle Levent , Xiang Lisa Li , Xuechen Li , Tengyu Ma , Ali Malik , Christopher D. Manning , Suvir Mirchandani , Eric Mitchell , Zanele Munyikwa , Suraj Nair , Avanika Narayan , Deepak Narayanan , Ben Newman , Allen Nie , Juan Carlos Niebles , Hamed Nilforoshan , Julian Nyarko , Giray Ogut , Laurel Orr , Isabel Papadimitriou , Joon Sung Park , Chris Piech , Eva Portelance , Christopher Potts , Aditi Raghunathan , Rob Reich , Hongyu Ren , Frieda Rong , Yusuf Roohani , Camilo Ruiz , Jack Ryan , Christopher Ré , Dorsa Sadigh , Shiori Sagawa , Keshav Santhanam , Andy Shih , Krishnan Srinivasan , Alex Tamkin , Rohan Taori , Armin W. Thomas , Florian Tramèr , Rose E. Wang , William Wang , Bohan Wu , Jiajun Wu , Yuhuai Wu , Sang Michael Xie , Michihiro Yasunaga , Jiaxuan You , Matei Zaharia , Michael Zhang , Tianyi Zhang , Xikun Zhang , Yuhui Zhang , Lucia Zheng , Kaitlyn Zhou , Percy Liang
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