Teresa Hammerschmidt

• Master of Science
• Digital Transformation at Wiegand-Glas Holding

Artificial Intelligence (AI) ethics research is a multifaceted field, requiring different theoretical justifications in which researchers can ground their underlying perspectives on ethics. We provide an overview of the major normative ethical theories used in Information Systems research on AI ethics. Through a systematic scoping review, we assess...

Long Covid is a chronic disease that affects more than 65 million people worldwide, characterized by a wide range of persistent symptoms following a Covid-19 infection. Previous studies have investigated potential risk factors contributing to elevated vulnerability to Long Covid. However, research on the social traits associated with affected patie...

With nudges, conversational agents (CAs) can be used to recommend environmentally sustainable products to individuals shopping online. CAs can thus influence individual purchase behaviors and have the potential to promote green decision-making. There is a lack of qualitative insights into how CA nudges might influence the purchase decisions of indi...

How individuals understand Artificial Intelligence (AI) affects whether they can interact with AI assistants appropriately. To foster the appropriate use of AI assistants, individuals require realistic perceptions of what AI can or cannot do. However, perceptions (which we refer to as AI narratives) depend on individuals' AI literacy and their emot...

Organizations must align their strategies and renew their capabilities to create business value from advances in artificial intelligence (AI). Ambidextrous leadership is relevant here, as leaders must decide how, when, and where to deploy AI, balancing between its use for increased efficiency (exploitation) and for innovation (exploration). Making...

Individuals increasingly seek algorithmic advice to optimize their decision making. This study aims to investigate the effects of receiving algorithmic advice on individuals' attribution of responsibility for their achievements. The study is based on an experiment with a 2 x 5 design of two dimensions: achievement (success vs. failure) and advice (...

AI-based technologies have changed the nature of the symbiosis between humans and AI, and so strategic management of human-AI interaction in organizations requires deeper ethical considerations. Aligning AI with human values requires a systematic understanding of the ethical management of human-AI interaction. We conduct a theoretical review, from...

Artificial Intelligence (AI) has the potential to change the future of work by improving employee task performance. Unlocking this potential requires that organizations prioritize developing employee AI competencies. Our understanding of AI competencies required to engage with AI-based systems effectively, however, is limited. The concept of AI lit...

The paper describes and evaluates an explorative approach to quantify the relationship between trainable animals and their owners. Data on human-animal interaction has been collected by using Pebble smartwatches and by observing different kinds of animal training sessions. Tracking movement of horses and dogs with the Pebble Watch was successful wi...