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20232026
most citedAnticipating Impacts: Using Large-Scale Scenario Writing to Explore Diverse Implications of Generative AI in the News Environment

4 citations · 12 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024

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…

cs.CY2024★ 1 cited

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…

cs.CL2024

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…

cs.CL2024

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…

cs.CY2024

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…