This paper investigates why AI-based algorithms make biased decisions in complex contexts, even when data is largely bias-free. We argue that this is due to the fundamental difference between AI and human rationality in making sense of data...
This paper investigates why AI-based algorithms make biased decisions in complex contexts, even when data is largely bias-free. We argue that this is due to the fundamental difference between AI and human rationality in making sense of data...
We investigate the collaboration between an Iranian and a French company in a joint venture aimed at developing radical innovation in the construction sector...
This work develops a new epidemiological-economic approach to the epidemic control of emerging and reemerging diseases. This area has become central following the Covid outbreak in both disciplinary and interdisciplinary research for its large health policy implications.
"Transparency is key to maintaining trustworthiness as disclosure tends to win back stakeholder faith and brand belief more quickly than caginess or, worse still, denial...