Effy Vayena

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

2020 · BMC Medical Informatics and Decision Making

BACKGROUND: Explainability is one of the most heavily debated topics when it comes to the application of artificial intelligence (AI) in healthcare. Even though AI-driven systems have been shown to outperform humans in certain analytical …

AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

2018 · Minds and Machines

This article reports the findings of AI4People, an Atomium-EISMD initiative designed to lay the foundations for a "Good AI Society". We introduce the core opportunities and risks of AI for society; present a synthesis of …

Democratizing Health Research Through Data Cooperatives

2018 · Philosophy & Technology

Massive amounts of data are collected and stored on a routine basis in virtually all domains of human activities. Such data are potentially useful to biomedicine. Yet, access to data for research purposes is hindered …

Digital tools against COVID-19: Framing the ethical challenges and how\n to address them

2020 · arXiv (Cornell University)

Data collection and processing via digital public health technologies are\nbeing promoted worldwide by governments and private companies as strategic\nremedies for mitigating the COVID-19 pandemic and loosening lockdown measures.\nHowever, the ethical and legal boundaries of deploying …