Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Pentland, Sandy"'
Autor:
Longpre, Shayne, Mahari, Robert, Lee, Ariel, Lund, Campbell, Oderinwale, Hamidah, Brannon, William, Saxena, Nayan, Obeng-Marnu, Naana, South, Tobin, Hunter, Cole, Klyman, Kevin, Klamm, Christopher, Schoelkopf, Hailey, Singh, Nikhil, Cherep, Manuel, Anis, Ahmad, Dinh, An, Chitongo, Caroline, Yin, Da, Sileo, Damien, Mataciunas, Deividas, Misra, Diganta, Alghamdi, Emad, Shippole, Enrico, Zhang, Jianguo, Materzynska, Joanna, Qian, Kun, Tiwary, Kush, Miranda, Lester, Dey, Manan, Liang, Minnie, Hamdy, Mohammed, Muennighoff, Niklas, Ye, Seonghyeon, Kim, Seungone, Mohanty, Shrestha, Gupta, Vipul, Sharma, Vivek, Chien, Vu Minh, Zhou, Xuhui, Li, Yizhi, Xiong, Caiming, Villa, Luis, Biderman, Stella, Li, Hanlin, Ippolito, Daphne, Hooker, Sara, Kabbara, Jad, Pentland, Sandy
General-purpose artificial intelligence (AI) systems are built on massive swathes of public web data, assembled into corpora such as C4, RefinedWeb, and Dolma. To our knowledge, we conduct the first, large-scale, longitudinal audit of the consent pro
Externí odkaz:
http://arxiv.org/abs/2407.14933
Data generated by users on digital platforms are a crucial resource for advocates and researchers interested in uncovering digital inequities, auditing algorithms, and understanding human behavior. Yet data access is often restricted. How can researc
Externí odkaz:
http://arxiv.org/abs/2404.13172
Autor:
Longpre, Shayne, Mahari, Robert, Obeng-Marnu, Naana, Brannon, William, South, Tobin, Gero, Katy, Pentland, Sandy, Kabbara, Jad
Publikováno v:
Proceedings of ICML 2024, in PMLR 235:32711-32725. URL: https://proceedings.mlr.press/v235/longpre24b.html
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 consent, preservi
Externí odkaz:
http://arxiv.org/abs/2404.12691
Autor:
Longpre, Shayne, Kapoor, Sayash, Klyman, Kevin, Ramaswami, Ashwin, Bommasani, Rishi, Blili-Hamelin, Borhane, Huang, Yangsibo, Skowron, Aviya, Yong, Zheng-Xin, Kotha, Suhas, Zeng, Yi, Shi, Weiyan, Yang, Xianjun, Southen, Reid, Robey, Alexander, Chao, Patrick, Yang, Diyi, Jia, Ruoxi, Kang, Daniel, Pentland, Sandy, Narayanan, Arvind, Liang, Percy, Henderson, Peter
Independent evaluation and red teaming are critical for identifying the risks posed by generative AI systems. However, the terms of service and enforcement strategies used by prominent AI companies to deter model misuse have disincentives on good fai
Externí odkaz:
http://arxiv.org/abs/2403.04893
Autor:
Longpre, Shayne, Mahari, Robert, Chen, Anthony, Obeng-Marnu, Naana, Sileo, Damien, Brannon, William, Muennighoff, Niklas, Khazam, Nathan, Kabbara, Jad, Perisetla, Kartik, Wu, Xinyi, Shippole, Enrico, Bollacker, Kurt, Wu, Tongshuang, Villa, Luis, Pentland, Sandy, Hooker, Sara
The race to train language models on vast, diverse, and inconsistently documented datasets has raised pressing concerns about the legal and ethical risks for practitioners. To remedy these practices threatening data transparency and understanding, we
Externí odkaz:
http://arxiv.org/abs/2310.16787
Akademický článek
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Akademický článek
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Autor:
Hardjono, Thomas, Pentland, Sandy
The identity problem today is a data-sharing problem. Today the fixed attributes approach adopted by the consumer identity management industry provides only limited information about an individual, and therefore is of limited value to the service pro
Externí odkaz:
http://arxiv.org/abs/1705.10880
Autor:
Krafft, Peter, Zheng, Julia, Shmueli, Erez, Della Penna, Nicolás, Tenenbaum, Josh, Pentland, Sandy
Social scientists have long sought to understand why certain people, items, or options become more popular than others. One seemingly intuitive theory is that inherent value drives popularity. An alternative theory claims that popularity is driven by
Externí odkaz:
http://arxiv.org/abs/1406.7729
Autor:
Gloor, Peter A., Fischbach, Kai, Fuehres, Hauke, Lassenius, Casper, Niinimäki, Tuomas, Olguin, Daniel Olguin, Pentland, Sandy, Piri, Arttu, Putzke, Johannes
Publikováno v:
In Procedia - Social and Behavioral Sciences 2011 26:166-179