Daniele Quercia

Exploring the need for fairness in mobile technology and algorithms.

Exploring how user personality affects engagement strategies in mobile apps.

A four-step method to promote ethical AI development across various roles.

Misinformation poses significant risks to companies and their reputations.

Exploring how Value Sensitive Design can enhance Responsible AI toolkits.

Research shows age and openness impact understanding AI explanations.

This research examines the fairness of self-supervised learning models across demographic groups.

A study highlights the focus on WEIRD populations in social computing research.

A framework to reduce bias in AI language models while maintaining accuracy.

Evaluating benefits and risks of AI in mobile and wearable technology.

Examining the advantages and dangers of AI in our daily mobile technology.

Examining the impact and challenges of Responsible AI research in real-world applications.

Developing a template for evaluating AI systems' societal effects.