Zobrazeno 1 - 10
of 194
pro vyhledávání: '"GOLDBERG, BETH"'
Autor:
Goldberg, Beth, Acosta-Navas, Diana, Bakker, Michiel, Beacock, Ian, Botvinick, Matt, Buch, Prateek, DiResta, Renée, Donthi, Nandika, Fast, Nathanael, Iyer, Ravi, Jalan, Zaria, Konya, Andrew, Danciu, Grace Kwak, Landemore, Hélène, Marwick, Alice, Miller, Carl, Ovadya, Aviv, Saltz, Emily, Schirch, Lisa, Shalom, Dalit, Siddarth, Divya, Sieker, Felix, Small, Christopher, Stray, Jonathan, Tang, Audrey, Tessler, Michael Henry, Zhang, Amy
Two substantial technological advances have reshaped the public square in recent decades: first with the advent of the internet and second with the recent introduction of large language models (LLMs). LLMs offer opportunities for a paradigm shift tow
Externí odkaz:
http://arxiv.org/abs/2412.09988
Generative, multimodal artificial intelligence (GenAI) offers transformative potential across industries, but its misuse poses significant risks. Prior research has shed light on the potential of advanced AI systems to be exploited for malicious purp
Externí odkaz:
http://arxiv.org/abs/2406.13843
Advances in generative AI (GenAI) have raised concerns about detecting and discerning AI-generated content from human-generated content. Most existing literature assumes a paradigm where 'expert' organized disinformation creators and flawed AI models
Externí odkaz:
http://arxiv.org/abs/2405.13554
Autor:
Xu, Rachel, Le, Nhu, Park, Rebekah, Murray, Laura, Das, Vishnupriya, Kumar, Devika, Goldberg, Beth
We conducted in-person ethnography in India and the US to investigate how young people (18-24) trusted online content, just as generative AI (genAI) became mainstream. We found that when online, how participants determined what content to trust was s
Externí odkaz:
http://arxiv.org/abs/2405.02522
Autor:
Gabriel, Iason, Manzini, Arianna, Keeling, Geoff, Hendricks, Lisa Anne, Rieser, Verena, Iqbal, Hasan, Tomašev, Nenad, Ktena, Ira, Kenton, Zachary, Rodriguez, Mikel, El-Sayed, Seliem, Brown, Sasha, Akbulut, Canfer, Trask, Andrew, Hughes, Edward, Bergman, A. Stevie, Shelby, Renee, Marchal, Nahema, Griffin, Conor, Mateos-Garcia, Juan, Weidinger, Laura, Street, Winnie, Lange, Benjamin, Ingerman, Alex, Lentz, Alison, Enger, Reed, Barakat, Andrew, Krakovna, Victoria, Siy, John Oliver, Kurth-Nelson, Zeb, McCroskery, Amanda, Bolina, Vijay, Law, Harry, Shanahan, Murray, Alberts, Lize, Balle, Borja, de Haas, Sarah, Ibitoye, Yetunde, Dafoe, Allan, Goldberg, Beth, Krier, Sébastien, Reese, Alexander, Witherspoon, Sims, Hawkins, Will, Rauh, Maribeth, Wallace, Don, Franklin, Matija, Goldstein, Josh A., Lehman, Joel, Klenk, Michael, Vallor, Shannon, Biles, Courtney, Morris, Meredith Ringel, King, Helen, Arcas, Blaise Agüera y, Isaac, William, Manyika, James
This paper focuses on the opportunities and the ethical and societal risks posed by advanced AI assistants. We define advanced AI assistants as artificial agents with natural language interfaces, whose function is to plan and execute sequences of act
Externí odkaz:
http://arxiv.org/abs/2404.16244
We conducted ethnographic research with 31 misinformation creators and consumers in Brazil and the US before, during, and after a major election to understand the consumption and production of election and medical misinformation. This study contribut
Externí odkaz:
http://arxiv.org/abs/2308.02377
Autor:
Hassoun, Amelia, Beacock, Ian, Consolvo, Sunny, Goldberg, Beth, Kelley, Patrick Gage, Russell, Daniel M.
Assessing the trustworthiness of information online is complicated. Literacy-based paradigms are both widely used to help and widely critiqued. We conducted a study with 35 Gen Zers from across the U.S. to understand how they assess information onlin
Externí odkaz:
http://arxiv.org/abs/2301.07184
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