Responsible AI
The capabilities of artificial intelligence (AI) are developing rapidly, in multiple directions. Recent breakthroughs in Generative AI are currently the most visible, but AI technologies are impacting decision making and automation in a wide range of fields, with implications for industry, government and civil society.
This rapid pace of evolution and deployment is resurfacing important and complex questions surrounding AI ethics. A diverse community of advocates for responsible technology is, and has been, actively working to provide practical thought leadership to guide AI development and deployment - with a focus on equity, societal benefits, harm reduction and environmental viability.
The technical and social complexity of AI systems requires a multi-voice effort to explore what AI can do, what it should do, and what it could do in the future. The responsible tech ecosystem is a venue where such issues are examined, value propositions are defined, trade offs are explored and guardrails are proposed.
For the Responsible AI Knowledge Hub the All Tech is Human team has curated relevant resources from our various publications and from our community. This is a “living document” and will continue to grow with your input.
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COMMUNITY | EVENT
Last year’s MozFest focused on Trustworthy AI, “harnessing our collective power to better our digital landscape, build transformative systems, and sustain momentum within our community towards positive human and digital rights progress…As we investigate Trustworthy AI and the ways in which we can move from opaque, closed systems towards open, transparent ones, we center the people: builders, users, whistle blowers, and all those affected. MozFest is the gathering place for human intelligence that weaves in ancestral, ecological, technical and spiritual knowledge, to move the needle in shaping Artificial Intelligence.” Read More
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Ada Lovelace Institute
Expert explainer: AI liability in Europe
The Ryder Review: Independent legal review of the governance of biometric data in England and Wales
Expert explainer: The EU AI Act proposal
Algorithmic accountability for the public sector
How to make a Citizens’ Biometrics Council
AI & Society Lab
A.I. For Anyone
AI Education Project
AI Education catalogue (collab with CSET Center for Security and Emerging Technology)
AI Ethics Lab (for profit, director Cansu Canca)
TOOLBOX: Dynamics of AI Principles
AI Ethics PhD Group
Member directory
AI For Good
AI for Peace
GUIDE: AI Explained: Non-Technical Guide for Policymakers
AI for People
Repository of Educational Resources
Mapping cross-cultural visions on Artificial Intelligence
AI for the People
AI Forum New Zealand
Towards Our Intelligent Future – An AI Roadmap for New Zealand
AI-Inclusive
AI Infrastructure Alliance
AI Infrastructure Ecosystem report
MLTRL Machine Learning Technology Readiness Levels
AI Now Institute
AI Policy Exchange
AI Vulnerability Database
AI4All
Open learning curriculum (for high school students)
AI4People
AI4People’s Report “On Good AI Governance”
AI4People’s Ethical Framework for a Good AI Society
AIEthicist.org
ALLAI
AI, Human Rights, and Democracy
Allen Institute for Artificial Intelligence
anch.AI (for profit)
Better Images of AI
Black in AI
Center for AI and Digital Policy
AI Policy Frameworks and Sourcebook
AI and Democratic Values Index
Centre for AI Innovation
Deloitte Global AI Institute
Distributed AI Research Institute
The Legacy of Spatial Apartheid
Datasheets for Datasets (Testing and Documentation)
Dreaming Beyond AI
Emotional AI Lab
Guidelines for ethical Emotional AI Emotional Artificial Intelligence: Guidelines For Ethical Use
EqualAI
Legal bootcamp for AI readiness
Fairlearn
GENIA
Global AI Ethics Institute
Global AI Ethics Experts Directory
Indigenous Tech.AI
LF AI & Data
Linux Foundation AI & Data Foundation Interactive Landscape
OdiseIA
New York University, Center for Responsible AI
Auditing AI in Hiring
AI Ethics: Global Perspectives course
OECD AI Policy Observatory
OpenAI
Partnership on AI
Responsible AI Institute
Responsible AI Network - Africa
RAIN-Africa Research and Data Repository
Q&A Series: Country Representatives
SeedAI
Stanford University, Institute for Human-Centered AI
Tech Ethics & Policy Summer Fellowships
The Association for the Advancement of Artificial Intelligence
The Ethics and Governance of AI Initiative
The Future Society
The Institute for Ethical AI & Machine Learning
The Responsible Machine Learning Principles
The Montreal AI Ethics Institute
TUM School of Social Sciences and Technology, Institute for Ethics in Artificial Intelligence
Q&A with the Researchers: Behind the Scenes
University of California - Berkeley, Center for Human-Compatible AI
University of Oxford, Institute for Ethics in AI
University of Toronto, Center for Ethics - Ethics of AI Lab
The Oxford Handbook of Ethics of AI: Online Supplement
Videos videos
Journal journal
Urban AI
We and AI
Better Images of AI
Women in AI
Global Responsible AI Hackathon
Women in AI Ethics
100 Brilliant Women in AI Ethics
World Economic Forum: AI and Machine Learning Initiative
Responsible Limits on Facial Recognition Technology
Generation AI: Developing Artificial Intelligence Standards for Children
Model Artificial Intelligence Governance Framework and Assessment Guide
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Books
Algorithms of Oppression by Safiya Umoja Noble
Artificial Unintelligence: How Computers Misunderstand the World by Meredith Broussard
Atlas of AI by Kate Crawford
Ethical Machines by Reid Blackman
Machine See, Machine Do by Patrick K. Lin
Weapons of Math Destruction by Cathy O'Neil
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Business Case for AI Ethics