AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies, Journal of Sustainable Finance & Investment, 2021, Version of Record.

PrePrint @ Social Science Research Network: Full text.

AI Human Impact: Updating ESG Investing for AI-Intensive Companies, 2021, 30th Annual Association for Practical and Professional Ethics International Conference (Virtual) February 25-27. Video.

AI Human Impact: AI-Intensive Companies Surveyed in Human and Ethical Terms for Investment Purposes, 2020, Global AI: Boston. Video. Deck.

How to put AI ethics into practice? AI Human Impact, 2020, Vlog at AI Policy Exchange, National Law School of India University, Bangalore.

AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies, 2020, Podcast • AI Asia Pacific Institute.

Transforming Ethics in AI through Investment, 2020, Article at AI Pacific Institute.

AI Human Impact in panel discussion: Digital Ethics and AI Governance, 2020, Informa Tech, AI Summit NY.

AI Human Impact in panel discussion: AI in RegTech 2020, ReWork Virtual Summit.

Regulation without prohibition in panel discussion: AI in RegTech, 2020, ReWork Virtual Summit.

On AI Human Impact, 2020, AI Summit (Informa), Silicon Valley.

Why AI can never be explainable..., 2020, AI Summit (Informa), Silicon Valley.

Assessed a non-invasive European AI medical device that used machine learning to analyze electrical signals of the heart (EKG) to predict cardiovascular heart disease risk. The startup’s name is redacted to honor a non-disclosure agreement.
Description.  Team members.

Emergency medical dispatchers fail to identify approximately 25% of cases of out of hospital cardiac arrest, thus loose the opportunity to provide the caller instructions in cardiopulmonary resuscitation. A team lead by Stig Nikolaj Blomberg (Emergency Medical Services Copenhagen, and Department of Clinical Medicine, University of Copenhagen, Denmark) examined whether a machine learning framework could recognize out-of-hospital cardiac arrest and alert the emergency medical dispatcher. The results of a retrospective study are published here. The results of a randomized clinical trial are published here. We are working with Blomberg and his team to evaluate the ethical implications of using machine learning in this context.
Description.  Team members.

The team of Dr. Andreas Dengel at the German Research Center for Artificial Intelligence (DFKI) used a neural network to analyze skin images for classification of three skin tumors, Melanocytic Naevi, Melanoma, and Seborrheic Keratosis. The result of their work is available here: IJCNN Interpretability (1) We are working with Andreas Dengel and his team to evaluate the implications of using deep learning in this context.
Description.  Team members.

What a Philosopher Learned at an AI Ethics Evaluation, 2020, AI Ethics Journal, 1(1)-4. Full text.

Lecturer, Doctoral Program, University of Trento, Italy. AI Ethics Today.

Philosophy Department, Pace University, New York City. CV.