🔬 Research Summary by Panagiotis (Panos) Papadopoulos, a Research Scientist at Telefonica Research, interested in Web Security and Privacy. [Original paper by Emmanouil Papadogiannakis, Panagiotis Papadopoulos, … [Read more...] about Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit Routines of Fake News sites
Research Summaries
Embedded ethics: a proposal for integrating ethics into the development of medical AI
🔬 Research Summary by Eryn Rigley, a PhD research student at University of Southampton, specialising in the intersection of environmental and AI ethics, as well as defence & security AI ethics. [Original … [Read more...] about Embedded ethics: a proposal for integrating ethics into the development of medical AI
The Struggle for AI’s Recognition: Understanding the Normative Implications of Gender Bias in AI with Honneth’s Theory of Recognition
🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by Rosalie Waelen & MichaĹ‚ Wieczorek] Overview: The effect gender bias in AI has on women’s self-worth is not currently … [Read more...] about The Struggle for AI’s Recognition: Understanding the Normative Implications of Gender Bias in AI with Honneth’s Theory of Recognition
The role of the African value of Ubuntu in global AI inclusion discourse: A normative ethics perspective
🔬 Research summary by Arthur Gwagwa, a doctoral researcher at the Utrecht University Ethics Institute. His work is part of the research program Ethics of Socially Disruptive Technologies, which is funded through the … [Read more...] about The role of the African value of Ubuntu in global AI inclusion discourse: A normative ethics perspective
Model Positionality and Computational Reflexivity: Promoting Reflexivity in Data Science
🔬 Research summary by Scott Cambo, a data scientist and independent researcher specializing in human-centered machine learning as well as designing and developing interactive machine learning systems. [Original … [Read more...] about Model Positionality and Computational Reflexivity: Promoting Reflexivity in Data Science