Kimon Kieslich

According to our database, Kimon Kieslich authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

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., February, 2024

My Future with My Chatbot: A Scenario-Driven, User-Centric Approach to Anticipating AI Impacts.

Kimon Kieslich, Natali Helberger, Nicholas Diakopoulos

CoRR, 2024

Regulating AI-Based Remote Biometric Identification. Investigating the Public Demand for Bans, Audits, and Public Database Registrations.

Kimon Kieslich, Marco Lünich

CoRR, 2024

2023

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

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., January, 2022

Commentary: Societal Reactions to Hopes and Threats of Autonomous Agent Actions: Reflections about Public Opinion and Technology Implementations.

Kimon Kieslich

Hum. Comput. Interact., 2022

Ever heard of ethical AI? Investigating the salience of ethical AI issues among the German population.

Kimon Kieslich, Marco Lünich, Pero Dosenovic

CoRR, 2022

2021

The Threats of Artificial Intelligence Scale (TAI).

Kimon Kieslich, Marco Lünich, Frank Marcinkowski

Int. J. Soc. Robotics, 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

AI-Ethics by Design. Evaluating Public Perception on the Importance of Ethical Design Principles of AI.

Kimon Kieslich, Birte Keller, Christopher Starke

CoRR, 2021

2020

The Threats of Artificial Intelligence Scale (TAI). Development, Measurement and Test Over Three Application Domains.

Kimon Kieslich, Marco Lünich, Frank Marcinkowski

CoRR, 2020

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

Proceedings of the FAT* '20: Conference on Fairness, 2020