Our mission is to help define humanity’s place in a world increasingly characterized and driven by algorithms
We do this by creating tangible and applied technical and policy research in the ethical, safe and inclusive development of AI
Our unique advantage in Montreal is that we are situated globally at the leading edge of technical research while leveraging strong Canadian values of diversity and inclusion
"Treating AI as inherently good overlooks the important research and development needed for ethical, safe and inclusive applications.
Poor data, inexplicable code or rushed deployment can easily lead to AI systems that are not worth celebrating."
Abhishek Gupta in the World Economic Forum
How Canada can be a global leader in ethical AI
We are focused on the applied and practical, not theoretical
We enable citizen empowerment to enhance policy development on the ethical, safe and inclusive development of AI
We act as a pool of knowledge and resources to enable applied experiments that will build tangible frameworks to address ethical, safety and inclusion issues in AI development
We publish all our research open-source and strive for scientific and technical reproducibility
Since July 2017, we have grown our community to over
1300+ members and have hosted over 40+ meetups.
These AI Ethics Meetups enable civic engagement to enhance policy development on the ethical, safe and inclusive development of AI.
Our members come from diverse backgrounds such as computer science, law, sociology, business, government policy, and so on.
We meet in Montreal every 2-3 weeks and are hosted by many different organizations and community partners.
We keep the conversation alive between meetups on our public Slack group
Our partners spanning academia, government, corporations and community are essential in making the work of the institute a success.
They generously share their space for us to host our community building and civic engagement activities while also feeding the virtuous cycle of involving their own members deeper into the discussions.
We believe in the creation of tangible and practical
research in the ethical, safe and inclusive development
Our AI Ethics Meetups in Montreal allow our community to provide feedback and recommendations to public documents like the Montreal Declaration for Responsible AI.
They also provide insights to a number of active research projects we are currently undertaking with a number of academic collaborators around the world.
Social inclusion in AI: Technical and policy approaches to increase
social inclusion in the entire pipeline of AI - from design and
conception, data collection and use all the way to the end-of-life
management of a project.
Mission-driven AI: How non-profits, social enterprises and NGOs can leverage machine learning solutions to help them stretch their donation dollars further by scaling the work that they do and increasing efficiency of their operations.
AI Ethics in Medicine: Informed consent and its ethical implications in the field of medicine, especially when AI-enabled solutions are used in diagnosis and clinical trials.
Algorithms in Politics: A look at how automation of propaganda in the political sphere happens and what measures and practices we can put in place to prevent some of the issues that arise as we push society towards higher divisiveness.
Our work has been published in the
Stanford Social Innovation Review,
the ITU Journal: ICT Discoveries of
the United Nations, the World
Economic Forum, and the Oxford
Internet Institute, among other
Artificial Intelligence as a Force for Good
Stanford Social Innovation Review
The Evolution of Fraud: Ethical Implications in the Age of Large-scale Data Breaches and Widespread Artificial Intelligence Solutions Deployment
International Telecommunications Union
Here’s how Canada can be a global leader in ethical AI
World Economic Forum
Inclusive Design - Methods to Ensure a High Degree of Participation in AI Systems
Connected Life 2018: Information Control
Oxford Internet Institute
We have been invited to speak and share our work with
business leaders, government policy makers, academic
researchers and practitioners at a wide range of conferences
and institutions around the world, including:
AI and Business: How AI is changing the way we
AI and Law: Legal and ethical implications with the increasing use of AI in the context of emerging privacy and data security laws like the GDPR.
The Malicious use of AI: Outlining the landscape of potential security threats from malicious uses of AI technologies, proposing ways to better forecast, prevent, and mitigate these threats.
Impact of China on AI: China's phenomenal rise in developing and deploying AI is quickly becoming both an inspirational model for how a national strategy can be effectively developed to dominate a field and a cause for concern in terms of ethics.
Embedding values into machines: How best to
embed values into machines, what the implications
of this are.
Algorithmic Discrimination: Impacts of using data-driven approaches and algorithms in the workplace drawing upon economic and social science theory.
Algorithmic Impact Assessments: An interesting way to evaluate how algorithmic systems and society interact and what kind of contract could potentially be setup between both parties to allow for a more beneficial interaction.
Data Privacy and Access Controls: What is the definition of control regarding personal data? How can we redefine data access to honor the individual?
Abhishek Gupta is the founder of Montreal AI Ethics Institute and an AI Ethics Researcher at McGill University, Montreal, Canada. His research focuses on applied technical and policy methods to address ethical, safety and inclusivity concerns in using AI in different domains. Abhishek comes from a strong technical background, working as a Software Engineer, Machine Learning at Microsoft in Montreal.
Renjie Butalid is co-founder of MAIEI and Associate Director of the McGill Dobson Centre for Entrepreneurship in Montreal, Canada. Renjie and his team at McGill recently raised $4 million from National Bank to support the growth of the McGill Dobson Cup as well as $2 million from the John Dobson Foundation for the McGill X-1 Accelerator program.