AI permeates our daily lives, and ensuring it is being developed and used in a responsible and ethical way has become a top priority. RESPECT AI is a hub for the AI community and business executives looking for practical advice and solutions to enable a more responsible adoption of this technology.
Borealis AI and RBC launch RESPECT AI, bringing ethical & responsible AI to all
Ensuring an effective challenge
In conversation with Greg Kirczenow, Senior Director of AI Model Risk Management at RBC.
RESPECT AI: Right to some Privacy
In conversation with Holly Shonaman, Chief Privacy Officer at RBC.
RESPECT AI: AI with a conscience
In conversation with Valentine Goddard, Founder and Executive Director of AI Impact Alliance.
RBC Disruptors Podcast: Can an algorithm be racist?
The growing push for ethical AI.
AI can be at risk of adversarial attacks. Our comprehensive toolkit includes Advertorch, our well-established adversarial robustness research code, which implements a series of attack and defense strategies that can be used to protect against risks.
Bias has long existed in society and many organizations don't understand how it applies in AI. We focus on how to detect and manage bias in order to ensure a fair and ethical approach to AI.
Model validation is key in ensuring that algorithms are reliable and effective. Modern AI needs validation more than ever, yet this technology presents its own challenges to traditional validation techniques.
Understanding what influences the decisions of a machine learning model is a critical step in the adoption of AI. Our research provides deeper insight.
Data privacy is paramount in building responsible AI. Our toolkit on synthetic data generation allows developers to gain insight without compromising integrity and data privacy.