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Awesome Ethics of Artificial Intelligence (AI) Awesome

Just type to go here. And info for suggestions!

The term "Ethics of Artificial Intelligence" refers to the morality of how humans design, construct, use and treat Artificial Intelligence(s) and artificially intelligent beings. It considers both how artificially intelligent beings may be used to harm humans and how they may be used to benefit humans.

In this document you will find curated list of useful (sometimes awesome) resorices on learning the basics of Ethics of Artificial Intelligence in courses, books, papers, blogs (and blog posts), research centres, journals, conferences and much, much more...

Collection is curated by:

  • Marilù Miotto (@marikyu7): Bachelor in International Studies at Trento University and Master International Security Studies student at Charles University in Prague
  • Matteo G.P. Flora (@lastknight): Adjunct Professor of Corporate Reputation & Storytelling at university of Pavia, Lecturer of Big Data and Analytics at Bicocca University in Milan, CEO The Fool. Hacker.

Contributions most welcome in the GitHub page or in mail via


  1. Courses
  2. Books
  3. Papers
  4. Blogs
  5. Blog posts
  6. Research centres
  7. Journals
  8. Conferences
  9. Misc
  10. Kudos


  • Artificial Intelligence - Philosophy, Ethics, and Impact - The goal of the course is to equip students with the intellectual tools, ethical foundation, and psychological framework to successfully navigate the coming age of intelligent machines.
  • Data Science Ethics - MIT - This course focused on ethics specifically related to data science will provide you with the framework to analyze these concerns.
  • Responsible Innovation in the Age of AI - IEEE - This course focuses on how traditional philosophical models like utilitarianism, virtue ethics and other key modalities of applied ethics have evolved to embrace specifics of algorithmic tracking and intelligence augmentation of AI.
  • Ethics and Law in Data and Analytics - Microsoft - In this course, you'll learn to apply ethical and legal frameworks to initiatives in the data profession. You'll explore practical approaches to data and analytics problems posed by work in Big Data, Data Science, and AI. You'll also investigate applied data methods for ethical and legal work in Analytics and AI.
  • The Ethics and Governance of Artificial Intelligence - MIT - This course will pursue a cross-disciplinary investigation of the development and deployment of the opaque complex adaptive systems that are increasingly in public and private use.
  • The Economic Advantage of Ethical Design For Business - IEEE - AI/S technology cannot be built in isolation, and to get a full sense of ethical and policy impacts of this technology it's essential to understand the larger context of its implementation to best increase societal wellbeing while building business.


  • Superintelligence - Nick Bostrom - The book asks the questions: what happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life.
  • Artificial Intelligence Safety and Security - This book is proposed to mitigate the foundamental problem of safety and security issues of AI. It is comprised of chapters from leading AI Safety researchers addressing different aspects of the AI control problem as it relates to the development of safe and secure artificial intelligence.
  • Life 3.0: Being Human in the Age of Artificial Intelligence - What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn’t shy away from the full range of viewpoints or from the most controversial issues—from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.
  • Towards a Code of Ethics for Artificial Intelligence - Paula Boddington - The book explores in detail the ethical codes of practice in science, and should be read by everyone with an interest in the future of AI.



  • ChinAI - Jeff Ding's (sometimes) weekly translations of Chinese-language musings on AI and related topics.
  • Nick Bostrom's Home Page - Home page for Nick Bostrom, Swedish philosopher at the University of Oxford known for his work on existential risk, the anthropic principle, human enhancement ethics, superintelligence risks, and the reversal test.
  • LessWrong - a community dedicated to improving reasoning and decision-making. It seeks to hold true beliefs and to be effective at accomplishing its goals. More generally, it works to develop and practice the art of human rationality.

Blog posts


Research centres

  • Future of Humanity Institute (@FHIOxford) - Based at Oxford University FHI is a multidisciplinary research institute born to investigates what we can do now to ensure a long flourishing future.
  • Leverhulme Centre for the Future of Intelligence (@LeverhulmeCFI) - The CFI research is mostly structured in a series of projects and research exercises. Research is done by an interdisciplinary community of researchers, with strong links to technologists and the policy world, and a clear practical goal. Topics range from algorithmic transparency to exploring the implications of AI for democracy.
  • Centre for the Study of Existential Risk (@CSERCambridge) - An interdisciplinary research centre within CRASSH at the University of Cambridge dedicated to the study and mitigation of existential risks.
  • Global Catastrophic Risk Institute (@GCRInstitute) - GCRI studies the human process of developing and governing AI, using risk analysis, social science, and the extensive knowledge we have gained from the study of other risks.
  • OpenAI (@OpenAI) - a team of a hundred people based in San Francisco, California whose mission is to ensure that artificial general intelligence benefits all of humanity.
  • MIRI - Machine Intelligence Research Institute (@MIRIBerkeley) - a research nonprofit that studies the mathematical underpinnings of intelligent behavior. Their mission is to develop formal tools for the clean design and analysis of general-purpose AI systems, with the intent of making such systems safer and more reliable when they are developed.
  • The Institute for Ethical AI & Machine Learning (@EthicalML) - a UK-based research centre that carries out highly-technical research into responsible machine learning systems.
  • AI Ethics Lab (@AIEthicsLab) - Through collaboration between computer scientists, practicing lawyers and legal scholars, and philosophers, the Lab offers a comprehensive approach to ethical design of AI-related technology.
  • Data & Society - an independent nonprofit research institute that advances public understanding of the social implications of data-centric technologies and automation.
  • Berkman Klein Center - centre's mission is to explore and understand cyberspace; to study its development, dynamics, norms, and standards; and to assess the need or lack thereof for laws and sanctions. Princeton Dialogues on AI and Ethics - is a research collaboration between Princeton’s University Center for Human Values (UCHV) and the Center for Information Technology Policy (CITP) that seeks to explore these questions – as well as many more. Research is focused on the emerging field of artificial intelligence (broadly defined) and its interaction with ethics and political theory.
  • AI-Ethics - The mission of this group is threefold: Foster dialogue between the conflicting camps in the current AI ethics debate; Help articulate basic regulatory principles for government and industry groups; and Inspire and educate everyone on the importance of artificial intelligence.







To the extent possible under law, Marilù Miotto and Matteo G.P. Flora has granted this content a Creative Commons Attribution-ShareAlike 4.0 International License.


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