In this book chapter, we focus on the ethical implications of AI use in practice for decision-making. We focus on the AI lifecycle, here conceptualized as design, implementation and (long-term) use in practice. While we recognize the relevance of “good” design and implementation, we suggest...

Emerging technologies equipped with artificial intelligence are improving in their capability to autonomously make decisions on behalf of people within organizations. We argue that organizations’ implementation of these AI technologies may perpetuate a new mechanism of isomorphism, through...

Artificial intelligence is undoubtedly impacting the work that organizations conduct by either automating or augmenting tasks historically done by humans. With technology capable of exploring larger information environments, a natural question emerges for one of the most complex tasks in...

Public organizations adopt Artificial Intelligence (AI) to streamline decision-making processes to improve rationalization and efficiency of service provision. However, several cases of AI deployment have generated doubts and questions among public audience due to distortions emerged in the...

Stakeholder theory suggests an array of different human actors-from individuals to collectives with various concerns-need to be considered in organizational decision-making. Yet recent advancements in agentic technologies, including artificial intelligence (AI), machine learning algorithms (ML),...

Many of the benefits of artificial intelligence (AI) are expected to emerge in the context of complex systems that become increasingly intelligent. The transformation of complex systems into complex intelligent systems (CoIS) create a new landscape, not only related to technology development but...

Our aim for this chapter is to unpack human judgment in relation to artificial intelligence (AI). Understanding human judgment matters not only for its central place in decision-making, but also because it signifies capacities that artificial intelligence does not (yet) possess. AI and...

After several winters, enthusiasm for artificial intelligence (AI) among academics as well as practitioners is again at its peak. The latest wave of AI is believed to bring tools capable of performing more complex tasks and aiding as well as substituting organizational decision making. In this...

Organizations leverage artificial intelligence (AI) systems to augment or automate employee decision-making practices. These changes often transform employees’ occupation significantly and, thus, the way employees perceive themselves as professionals. By making use of qualitative insights from...

Rapid and ongoing advancements in the field of artificial intelligence (AI) allow organizations to employ AI agents for an increasing number of tasks in various contexts. In the face of these developments, humans are more frequently confronted with AI agents in a variety of relationships...