4 citations · 12 across the 14 of their papers we have counts for
14 papers
Trade-Offs in Deploying Legal AI: Insights from a Public Opinion Study to Guide AI Risk Management
Kimon Kieslich, Sophie Morosoli, Nicholas Diakopoulos +1
Generative AI tools are increasingly used for legal tasks, including legal research, drafting documents, and even for legal decision-making. As for other purposes, the use of GenAI…
Not Wrong, But Untrue: LLM Overconfidence in Document-Based Queries
Nick Hagar, Wilma Agustianto, Nicholas Diakopoulos
Large language models (LLMs) are increasingly used in newsroom workflows, but their tendency to hallucinate poses risks to core journalistic practices of sourcing, attribution, and…
On-Premise AI for the Newsroom: Evaluating Small Language Models for Investigative Document Search
Nick Hagar, Nicholas Diakopoulos, Jeremy Gilbert
Investigative journalists routinely confront large document collections. Large language models (LLMs) with retrieval-augmented generation (RAG) capabilities promise to accelerate t…
LLM-Assisted News Discovery in High-Volume Information Streams: A Case Study
Nick Hagar, Ethan Silver, Clare Spencer +1
Journalists face mounting challenges in monitoring ever-expanding digital information streams to identify newsworthy content. While traditional automation tools gather information…
Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks
Mowafak Allaham, Kimon Kieslich, Nicholas Diakopoulos
Risk-based approaches to AI governance often center the technological artifact as the primary focus of risk assessments, overlooking systemic risks that emerge from the complex int…
Scenarios in Computing Research: A Systematic Review of the Use of Scenario Methods for Exploring the Future of Computing Technologies in Society
Julia Barnett, Kimon Kieslich, Jasmine Sinchai +1
Scenario building is an established method to anticipate the future of emerging technologies. Its primary goal is to use narratives to map future trajectories of technology develop…
Global Perspectives of AI Risks and Harms: Analyzing the Negative Impacts of AI Technologies as Prioritized by News Media
Mowafak Allaham, Kimon Kieslich, Nicholas Diakopoulos
Emerging AI technologies have the potential to drive economic growth and innovation but can also pose significant risks to society. To mitigate these risks, governments, companies,…
Envisioning Stakeholder-Action Pairs to Mitigate Negative Impacts of AI: A Participatory Approach to Inform Policy Making
Julia Barnett, Kimon Kieslich, Natali Helberger +1
The potential for negative impacts of AI has rapidly become more pervasive around the world, and this has intensified a need for responsible AI governance. While many regulatory bo…
Towards Leveraging News Media to Support Impact Assessment of AI Technologies
Mowafak Allaham, Kimon Kieslich, Nicholas Diakopoulos
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 geogra…
Using Scenario-Writing for Identifying and Mitigating Impacts of Generative AI
Kimon Kieslich, Nicholas Diakopoulos, Natali Helberger
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 unden…
Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation
Julia Barnett, Kimon Kieslich, Nicholas Diakopoulos
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 th…
Evaluating the Capabilities of LLMs for Supporting Anticipatory Impact Assessment
Mowafak Allaham, Nicholas Diakopoulos
Gaining insight into the potential negative impacts of emerging Artificial Intelligence (AI) technologies in society is a challenge for implementing anticipatory governance approac…
My Future with My Chatbot: A Scenario-Driven, User-Centric Approach to Anticipating AI Impacts
Kimon Kieslich, Natali Helberger, Nicholas Diakopoulos
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, an…
Anticipating Impacts: Using Large-Scale Scenario Writing to Explore Diverse Implications of Generative AI in the News Environment
Kimon Kieslich, Nicholas Diakopoulos, Natali Helberger
The tremendous rise of generative AI has reached every part of society - including the news environment. There are many concerns about the individual and societal impact of the inc…