Zobrazeno 1 - 10
of 136
pro vyhledávání: '"DIAKOPOULOS, NICHOLAS"'
Expert-driven frameworks for impact assessments (IAs) may inadvertently overlook the effects of AI technologies on the public's social behavior, policy, and the cultural and geographical contexts shaping the perception of AI and the impacts around it
Externí odkaz:
http://arxiv.org/abs/2411.02536
Impact assessments have emerged as a common way to identify the negative and positive implications of AI deployment, with the goal of avoiding the downsides of its use. It is undeniable that impact assessments are important - especially in the case o
Externí odkaz:
http://arxiv.org/abs/2410.23704
This study offers an initial evaluation of a human-in-the-loop system leveraging GPT-4 (a large language model or LLM), and Retrieval-Augmented Generation (RAG) to identify and define jargon terms in scientific abstracts, based on readers' self-repor
Externí odkaz:
http://arxiv.org/abs/2410.12069
Autor:
Veerbeek, Joris, Diakopoulos, Nicholas
This paper introduces a system using generative AI agents to create tip sheets for investigative data reporting. Our system employs three specialized agents--an analyst, a reporter, and an editor--to collaboratively generate and refine tips from data
Externí odkaz:
http://arxiv.org/abs/2409.07286
The rapid advancement of AI technologies yields numerous future impacts on individuals and society. Policymakers are tasked to react quickly and establish policies that mitigate those impacts. However, anticipating the effectiveness of policies is a
Externí odkaz:
http://arxiv.org/abs/2405.09679
News organizations today rely on AI tools to increase efficiency and productivity across various tasks in news production and distribution. These tools are oriented towards stakeholders such as reporters, editors, and readers. However, practitioners
Externí odkaz:
http://arxiv.org/abs/2403.17911
Autor:
Nishal, Sachita, Diakopoulos, Nicholas
This article considers the increasing use of algorithmic decision-support systems and synthetic media in the newsroom, and explores how generative models can help reporters and editors across a range of tasks from the conception of a news story to it
Externí odkaz:
http://arxiv.org/abs/2402.18835
Gaining insight into the potential negative impacts of emerging Artificial Intelligence (AI) technologies in society is a challenge for implementing anticipatory governance approaches. One approach to produce such insight is to use Large Language Mod
Externí odkaz:
http://arxiv.org/abs/2401.18028
As a general purpose technology without a concrete pre-defined purpose, personal chatbots can be used for a whole range of objectives, depending on the personal needs, contexts, and tasks of an individual, and so potentially impact a variety of value
Externí odkaz:
http://arxiv.org/abs/2401.14533
Science and technology journalists today face challenges in finding newsworthy leads due to increased workloads, reduced resources, and expanding scientific publishing ecosystems. Given this context, we explore computational methods to aid these jour
Externí odkaz:
http://arxiv.org/abs/2311.06864