Implications of AI (un-)fairness in higher education admissions: the effects of perceived AI (un-)fairness on exit, voice and organizational reputation. - Frank Marcinkowski; Kimon Kieslich; Christopher Starke; Marco Lünich (FAT*, 2020)

The Threats of Artificial Intelligence Scale (TAI). Development, Measurement and Test Over Three Application Domains. - Kimon Kieslich; Marco Lünich; Frank Marcinkowski (CoRR, 2020)

AI-Ethics by Design. Evaluating Public Perception on the Importance of Ethical Design Principles of AI. - Kimon Kieslich; Birte Keller; Christopher Starke (CoRR, 2021)

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 (CoRR, 2021)

The Threats of Artificial Intelligence Scale (TAI). - Kimon Kieslich; Marco Lünich; Frank Marcinkowski (Int. J. Soc. Robotics, 2021)

Commentary: Societal Reactions to Hopes and Threats of Autonomous Agent Actions: Reflections about Public Opinion and Technology Implementations. - Kimon Kieslich (Hum. Comput. Interact., 2022)

Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence. - Kimon Kieslich; Birte Keller; Christopher Starke (Big Data Soc., 2022)

Anticipating Impacts: Using Large-Scale Scenario Writing to Explore Diverse Implications of Generative AI in the News Environment. - Kimon Kieslich; Nicholas Diakopoulos; Natali Helberger (CoRR, 2023)

Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation. - Julia Barnett; Kimon Kieslich; Nicholas Diakopoulos (AIES (1), 2024)

My Future with My Chatbot: A Scenario-Driven, User-Centric Approach to Anticipating AI Impacts. - Kimon Kieslich; Natali Helberger; Nicholas Diakopoulos (FAccT, 2024)

Regulating AI-Based Remote Biometric Identification. Investigating the Public Demand for Bans, Audits, and Public Database Registrations. - Kimon Kieslich; Marco Lünich (FAccT, 2024)

Using Scenario-Writing for Identifying and Mitigating Impacts of Generative AI. - Kimon Kieslich; Nicholas Diakopoulos; Natali Helberger (CoRR, 2024)

Towards Leveraging News Media to Support Impact Assessment of AI Technologies. - Mowafak Allaham; Kimon Kieslich; Nicholas Diakopoulos (CoRR, 2024)

Exploring the roles of trust and social group preference on the legitimacy of algorithmic decision-making vs. human decision-making for allocating COVID-19 vaccinations. - Marco Lünich; Kimon Kieslich (AI Soc., 2024)

Ever Heard of Ethical AI? Investigating the Salience of Ethical AI Issues among the German Population. - Kimon Kieslich; Marco Lünich; Pero Dosenovic (Int. J. Hum. Comput. Interact., 2024)

Envisioning Stakeholder-Action Pairs to Mitigate Negative Impacts of AI: A Participatory Approach to Inform Policy Making. - Julia Barnett; Kimon Kieslich; Natali Helberger; Nicholas Diakopoulos (FAccT, 2025)

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 (CoRR, 2025)

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; Nicholas Diakopoulos (CoRR, 2025)

Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks. - Mowafak Allaham; Kimon Kieslich; Nicholas Diakopoulos (CoRR, 2025)