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Ar­isa Shollo

Associate Professor

Subjects
Decision-making Organisation Strategy Business intelligence Artificial intelligence Qualitative methods

Primary research areas

Human-AI collaboration

In­vest­ig­ates what makes human-AI collaboration difficult by focusing on how emo­tions, phys­ic­al em­bod­i­ment, and cog­ni­tion di­verge between hu­mans and AI, chal­len­ging bounded ra­tion­al­ity and re­veal­ing factors that com­plic­ate hu­man–AI col­lab­or­a­tion.

Re­spons­ible & Ex­plain­able AI Value

Examines how organizations develop and use responsible and explainable AI to create value that goes beyond efficiency. By doing so, my work advances a value-reflexive understanding of AI to investigate how technology can support human flourishing.

Evid­ence-Based & In­tu­it­ive De­cision-making

Ex­plores how or­gan­iz­a­tions in­teg­rate struc­tured, data-driv­en de­cision-mak­ing with in­tu­ition and judg­ment tech­niques to sup­port ad­apt­ive de­cision be­ha­vi­or.

Redefining Rationality in Human–AI Collaboration

My research examines how digital technologies transform organizational decision-making and what this means for people, organizations, and society. I focus on how humans and AI interact in practice, and how their differences e.g. rationality, intuition, emotions, and embodiment, shape collaboration and outcomes. 

I investigate the role of business intelligence, analytics, and AI in organizations, with a special emphasis on explainable and responsible AI. My work highlights how AI can create value while respecting human dignity, ensuring that decision-making processes remain transparent, trustworthy, and inclusive. 

I also explore the microfoundations of rationality in the age of AI, showing how human cognitive, emotional, and bodily capacities differ from AI’s data-driven processing. This work helps organizations cultivate appropriate reliance on AI, knowing when to trust machine outputs and when human judgment is irreplaceable. 

Through academic collaborations, teaching, and engagement with industry and policymakers, I aim to support organizations in making better, fairer, and more responsible decisions with digital technologies.