Additional resources

Please see below for articles, classes and videos that will allow you to learn more about AI, AI ethics and deliberation.

AI Ethics

Reference documents

(2017) UNI Global Union’s ‘Top 10 Principles for Ethical Artificial Intelligence’

(2017-2020) IEEE’s Global Initiative on Ethics of Autonomous and Intelligent Systems and its work on Ethically Aligned Design

(2018) Montreal Declaration for a Responsible Development of AI

(2019) UNESCO R.O.A.M indicators

(2019) the OECD’s Recommendation of the Council on AI

(2019) the EU High-Level Expert Group on Artificial Intelligence’s Ethical Guidelines for Trustworthy AI

World Economic Forum’s ‘Global Technology Governance: A Multistakeholder Approach’

For an assessment of the different AI ethics initiatives, see the Berkman Klein Center (Harvard) infographics

For a list of the various stakeholder reports on AI governance, see the document prepared by the OECD


To go further

Cavoukian, A. (2011). Privacy by Design. The 7 Foundational Principles.  

Boyd, D., Crawford, K. (2011). Six Provocations for Big Data. A Decade in Internet Time: Symposium on the Dynamics of the Internet and Society. 

Jobin, A., Ienca, M. & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nat Mach Intell 1, 389–399. 

Mittelstadt, B. (2019). Principles alone cannot guarantee ethical AI. Nature Machine Intelligence, 1-7.

Bostrom, N. (2017). Superintelligence. Dunod.

Gibert, M. (2020). Faire la morale aux robots. Atelier 10.

Coeckelbergh, M. (2020). AI Ethics. MIT Press.

Whittaker, M., Crawford, K., Dobbe, R., Fried, G., Kaziunas, E., Mathur, V., … & Schwartz, O. (2018). AI now report 2018. AI Now Institute at New York University.

AI

Books and references

(Advanced) Ian Goodfellow, Yoshua Bengio, and Aaron Courville, Deep Learning, MIT Press, 2016 

(Advanced) Richard S. Sutton et Andrew G. Barto, Reinforcement Learning: An Introduction, MIT Press, 2018

Council of Europe, Artificial Intelligence Glossary, 2020,

Online resources

(Advanced) Open AI, OpenAI Spinning Up in Deep Reinforcement Learning! – 2020

(Intermediate3Blue1Brown’s Youtube Series on Neural Networks and Deep Learning, 2018

(Beginner) CGPGrey’s Youtube video How Machines Learn, 2017 

Online classes

(Advanced) IVADO’s Deep Learning MOOC, 2019

(Intermediate) University of Helsinki, Elements of AI, A free online introduction to artificial intelligence for non-experts, 2019

Deliberation and civic engagement

Reports from the Montreal Declaration for the Responsible Development of Artificial Intelligence (2018)

James Fishkin’s TEDxDesignTechHighSchool talk: Democracy When the People Are Thinking: How to Revitalize Our Politics Through Deliberation (2018)

Landemore, H. (2017). Democratic Reason : Politics, Collective Intelligence, and the Rule of the Many. Princeton University Press. 

Fishkin, J. (2018). Democracy : when the people are thinking : revitalizing our politics through public deliberation. Oxford University Press.

Mounk, Yascha. (2018). The people vs Democracy : why our freedom is in danger and how to save it. Harvard University Press.

Gastil, John and Wright, Erik Olin. (2019). Legislature by lot : transformative designs for deliberative governance. London : Verso Books.