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pro vyhledávání: '"Jakesch, Maurice"'
Autor:
Buçinca, Zana, Pham, Chau Minh, Jakesch, Maurice, Ribeiro, Marco Tulio, Olteanu, Alexandra, Amershi, Saleema
While demands for change and accountability for harmful AI consequences mount, foreseeing the downstream effects of deploying AI systems remains a challenging task. We developed AHA! (Anticipating Harms of AI), a generative framework to assist AI pra
Externí odkaz:
http://arxiv.org/abs/2306.03280
The rapid development of AI-mediated communication technologies (AICTs), which are digital tools that use AI to augment interpersonal messages, has raised concerns about the future of interpersonal trust and prompted discussions about disclosure and
Externí odkaz:
http://arxiv.org/abs/2305.01670
In addition to more personalized content feeds, some leading social media platforms give a prominent role to content that is more widely popular. On Twitter, "trending topics" identify popular topics of conversation on the platform, thereby promoting
Externí odkaz:
http://arxiv.org/abs/2304.05382
Traditionally, writing assistance systems have focused on short or even single-word suggestions. Recently, large language models like GPT-3 have made it possible to generate significantly longer natural-sounding suggestions, offering more advanced as
Externí odkaz:
http://arxiv.org/abs/2302.13382
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23), April 23-28, 2023, Hamburg, Germany. ACM, New York, NY, USA
If large language models like GPT-3 preferably produce a particular point of view, they may influence people's opinions on an unknown scale. This study investigates whether a language-model-powered writing assistant that generates some opinions more
Externí odkaz:
http://arxiv.org/abs/2302.00560
Publikováno v:
Proceedings of the National Academy of Sciences 120, no. 11 (2023): e2208839120
Human communication is increasingly intermixed with language generated by AI. Across chat, email, and social media, AI systems suggest words, complete sentences, or produce entire conversations. AI-generated language is often not identified as such b
Externí odkaz:
http://arxiv.org/abs/2206.07271
Publikováno v:
2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22), June 21-24, 2022, Seoul, Republic of Korea
Private companies, public sector organizations, and academic groups have outlined ethical values they consider important for responsible artificial intelligence technologies. While their recommendations converge on a set of central values, little is
Externí odkaz:
http://arxiv.org/abs/2205.07722
Publikováno v:
Proc. ACM Hum.-Comput. Interact. 5, CSCW, Article 379 (October 2021)
Political organizations worldwide keep innovating their use of social media technologies. In the 2019 Indian general election, organizers used a network of WhatsApp groups to manipulate Twitter trends through coordinated mass postings. We joined 600
Externí odkaz:
http://arxiv.org/abs/2104.13259
Akademický článek
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Can AI communication tools increase legislative responsiveness and trust in democratic institutions?
Autor:
Kreps, Sarah, Jakesch, Maurice
Publikováno v:
In Government Information Quarterly June 2023 40(3)
