Centre for Advancing Responsible & Ethical Artificial Intelligence
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About

Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI) is located in the heart of the Toronto-Waterloo corridor, at the University of Guelph (U of G). CARE-AI is unique, as it integrates ethics, governance and social responsibility with technical leadership. Our researchers span from faculty across all Colleges on UofG’s campus – working in one or more of the three core pillars: AI methodologies; AI applications; and AI responsibility.

CARE-AI expands our research community’s expertise and fosters a network of over 90 researchers and scholars from across campus, as well as includes an advisory panel of academic and industry leaders. It will focus on applying machine learning and AI to U of G strengths, including human and animal health, environmental sciences, agriculture, agri-food, business, insurance and the bio-economy. CARE-AI researchers will investigate methodologies, including learning algorithms, human-computer interfaces, data analytics, sensors and robots. Researchers at CARE-AI work collaboratively with inter-disciplinary departments, industry partners as well as other institutions to support CARE-AI’s ecosystem.

Mission

It is our mission to advance multidisciplinary AI training and research, and its responsible application to improve life.

 

Vision

At CARE-AI we aim to:

1. Study the ethical implications that arise from the growing influence of AI in our lives.

2. Build responsible, innovative AI systems that are compatible with human values and ethics.

3. Apply AI research advancements to problems that are central to the human condition and society.

4. Train the next generation of AI professionals in core technical AI, and the societal and ethical implications of these emerging technologies.

People

CARE-AI’s leadership and researchers are comprised of innovative thinkers and research experts paving the way towards an interdisciplinary approach to AI.

CARE-AI expands our research community’s expertise, fostering a network of researchers and scholars from across campus and formed committees with academic and industry partners. Our CARE-AI researchers investigate methodologies, including learning algorithms, human-computer interfaces, data analytics, sensors and robots. The research on machine learning and AI, includes human and animal health, environmental sciences, agriculture, agri-food, business, insurance and the bio-economy. CARE-AI focuses on collaborative research with interdisciplinary departments, industry partners as well as other institutions to support our CARE-AI ecosystem.

Our Leadership Team

Carter Cousineau

Carter Cousineau

Managing Director

Graham Taylor

Graham Taylor

Academic Director

Farrah Trahan

Farrah Trahan

Administrative Assistant

Affiliated Faculty

Ali Dehghantanha

Ali Dehghantanha

School of Computer Science

Anna Lawniczak

Anna Lawniczak

Department of Mathematics and Statistics

Daniel Ashlock

Daniel Ashlock

Department of Mathematics and Statistics

Hadis Karimipour

Hadis Karimipour

School of Engineering

Petros Spachos

Petros Spachos

School of Engineering

Youbin Zheng

Youbin Zheng

School of Environmental Sciences

Minglung Gong

Minglung Gong

School of Computer Science

Neil Bruce

Neil Bruce

School of Computer Science

Rozita Dara

Rozita Dara

School of Computer Science

Kieran O'Doherty

Kieran O'Doherty

Department of Psychology

Andrew Bailey

Andrew Bailey

Department of Philosophy

Ataharul Chowdhury

Ataharul Chowdhury

School of Environmental Design and Rural Studies

Ed McBean

Ed McBean

School of Engineering

Joshua Skorburg

Joshua Skorburg

Department of Philosophy

Andrew Hamilton-Wright

Andrew Hamilton-Wright

School of Computer Science

Mihai Nica

Mihai Nica

Department of Mathematics and Statistics

Lei Lei

Lei Lei

School of Engineering

John Fryxell

John Fryxell

Department of Integrative Biology

Khurram Nadeem

Khurram Nadeem

Department of Mathematics and Statistics

Stacey Scott

Stacey Scott

School of Computer Science

Andrew Gadsden

Andrew Gadsden

School of Engineering

Bahram Gharabaghi

Bahram Gharabaghi

School of Engineering

Eran Ukwatta

Eran Ukwatta

School of Engineering

Lana Trick

Lana Trick

Department of Psychology

John Walsh

John Walsh

School of Languages and Literature

Stefan Kremer

Stefan Kremer

School of Computer Science

Hassan Khan

Hassan Khan

School of Computer Science

Felix Arndt

Felix Arndt

Department of Management

Ibrahim Deiab

Ibrahim Deiab

School of Engineering

Scott Brandon

Scott Brandon

School of Engineering

Advisory Board

Lara O'Donnell

Lara O'Donnell

Executive Director, W. Garfield Weston Foundation

Heather Evans

Heather Evans

Director of Frontier Technology Research, Asia Society Northern California

Steve Woods

Steve Woods

Senior Engineering Director and Site Lead, Google

Anthony de Fazekas

Anthony de Fazekas

Head of Technology and Innovation - Canada, Norton Rose Fullbright

Ofer Shai

Ofer Shai

Chief AI Officer, Deloitte

Saadia Muzaffar

Saadia Muzaffar

CEO, Founder, TechGirls

Research

Partnership Opportunities

 

  • Access to leading AI Researchers
  • First-hand access into the CARE-AI Community
  • Networking with U of G’s students and graduates
  • Industry focused Research Projects
  • In-person meetings and events

Interested in becoming a partner, contact:

care-ai@uoguelph.ca

Affiliated Programs

“I think the CSAI program has encouraged me to consider broader ethical implications of applying AI solutions within the medical imaging field. This focus will be invaluable going forward as issues related to respecting patient data privacy and ensuring the fairness of any AI solution are highly relevant to solving healthcare problems.”

- Anush Agarwal, MASC. ENG+AI

Reach Us

care-ai@uoguelph.ca

519-824-4120 ext. 56568

50 Stone Rd E

Guelph, ON N1G2W1