Resources


 

Guidelines/Principles

 

AI Human Impact Ethics Due Diligence

 

Ethics Guidelines for Trustworthy AI

High-Level Expert Group on AI, European Commission

Opinion of the Data Ethics Commission

Germany’s Federal Government

Ethical and societal implications of algorithms, data, and artificial intelligence: a roadmap for research

Jess Whittlestone, Rune Nyrup, Anna Alexandrova, Kanta Dihal, Stephen Cave, Leverhulme Centre for the Future of Intelligence, University of Cambridge.

Principled Artificial Intelligence: 2020

Berkman Klein Center, Harvard University

Everyday Ethics for Artificial Intelligence

IBM

Ethically Aligned Design

IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems

IEEE 7010: A New Standard for Assessing the Well-being Implications of Artificial Intelligence

IEEE

From Principles to Practice: An interdisciplinary framework to operationalise AI ethics

VDE Association for Electrical, Electronic & Information Technologies and Bertelsmann Stiftung

 

Reports

 

Big Data and Insurance: Implications for Innovation, Competition and Privacy

Benno Keller, Geneva Association

Conversations Towards Ethical AI: Views from Experts and Practitioners

Capgemini Research Institute

 

Documents

 

Artificial Intelligence Incident Database

 

Stories

Algorithm Watch

Manipulation Machines

NY Times

Assessment HireVue’s pre-built assessments forearly career and campus hires

O’Neil Risk Consulting and Algorithmic Auditing

22 Rights Groups Tell PayPal and Venmo to Shape Up Policies on Account Closures