Explore our knowledge

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.