CIFAR Solution Networks

SOLUTIONS FOR RESPONSIBLE AI

Collaboration and innovation to deploy responsible AI solutions everywhere

CIFAR’s Solution Networks program supports cross-sectoral, multi-disciplinary teams (Networks) to design, develop, and implement solutions that respond to the challenges of deploying responsible AI.

Call for Expressions of Interest:
AI for Health in Canada

Seeking collaborative networks to develop innovative solutions to the challenges of implementing responsible AI in the health sector.

Call complete — check back for an announcement of the selected project

PROGRAM DETAILS

Flexible funding for innovative solutions.

CIFAR Solution Networks receive flexible funding support for three years to to design, develop and implement a responsible AI solution.

The opportunity:

This program brings together international experts from across academia, civil society, government, and industry to drive sector-specific practice and action by developing and implementing solutions using responsible AI.

CIFAR Solution Networks is a collaborative initiative for interdisciplinary teams led by a core group of up to six individuals. Each team works to develop approaches and applications to support implementation of responsible AI to address urgent, timely problems.

There are no active calls at this time, please check again.

The successful Solution Network receives:

$60,000 Cdn. per year for each co-director (up to two) and $25,000 Cdn. per year for each core team member (up to four).
Up to $60,000 Cdn. for each year to support costs directly associated with advancing the network’s solution.
Financial and logistical support to enable a minimum of two interactions per year (in-person or virtually) between members of the Network and external experts.
CIFAR’s programmatic and administrative support

Eligibility:

The Solution Network should be made up of an interdisciplinary and cross-sectoral team and must:

be led by two co-directors and composed of up to four additional members include at least one computer/data scientist include at least one expert in the legal, ethical, or policy implications of AI
have at least one member based in the setting where the solution will be implemented
achieve equity, diversity and inclusion in the team composition

There are no active calls at this time, please check again.