203 citations · 371 across the 18 of their papers we have counts for
19 papers
Data Colonisation and AI Governance in South Africa: Data Protection, Algorithmic Power, and the Struggle for Digital Sovereignty
Takudzwa Musekiwa, Kimon Kieslich
AI is not only a technological artefact; it is also a new site of political economy, legal struggle, and sovereignty contestation. AI systems depend on the continuous collection, s…
Why AI Slop Matters, but Not Like That
Sachita Nishal, Marijn Sax, Kimon Kieslich
This is a response to the paper ''Why Slop Matters''. By offering both immanent and external critique, we argue that the authors' reasoning neglects the socio-technical context of…
Informing AI Policy Assessment using Large-Scale Simulation of Interventions
Julia Barnett, Kimon Kieslich, Natali Helberger +1
As the rapid proliferation of AI systems and harms spurs efforts in AI governance around the world, prioritizing among competing policy options has become increasingly challenging…
"Make It Sound Like a Lawyer Wrote It": Scenarios of Potential Impacts of Generative AI for Legal Conflict Resolution
Kimon Kieslich, Natali Helberger, Nicholas Diakopoulos
Generative AI (GenAI) tools are transforming critical societal domains, including the legal sector. While these tools create opportunities such as increased efficiency and potentia…
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…
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…
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…
Regulating AI-Based Remote Biometric Identification. Investigating the Public Demand for Bans, Audits, and Public Database Registrations
Kimon Kieslich, Marco Lünich
AI is increasingly being used in the public sector, including public security. In this context, the use of AI-powered remote biometric identification (RBI) systems is a much-discus…
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…
Ever heard of ethical AI? Investigating the salience of ethical AI issues among the German population
Kimon Kieslich, Marco Lünich, Pero Došenović
Building and implementing ethical AI systems that benefit the whole society is cost-intensive and a multi-faceted task fraught with potential problems. While computer science focus…
Using automated decision-making (ADM) to allocate Covid-19 vaccinations? Exploring the roles of trust and social group preference on the legitimacy of ADM vs. human decision-making
Marco Lünich, Kimon Kieslich
In combating the ongoing global health threat of the Covid-19 pandemic, decision-makers have to take actions based on a multitude of relevant health data with severe potential cons…
AI-Ethics by Design. Evaluating Public Perception on the Importance of Ethical Design Principles of AI
Kimon Kieslich, Birte Keller, Christopher Starke
Despite the immense societal importance of ethically designing artificial intelligence (AI), little research on the public perceptions of ethical AI principles exists. This becomes…
The Threats of Artificial Intelligence Scale (TAI). Development, Measurement and Test Over Three Application Domains
Kimon Kieslich, Marco Lünich, Frank Marcinkowski
In recent years Artificial Intelligence (AI) has gained much popularity, with the scientific community as well as with the public. AI is often ascribed many positive impacts for di…