RESPECT AI
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
RBC Disruptors Podcast: Can an algorithm be racist?
The growing push for ethical AI.
RESPECT AI:
Explainability explained
In conversation with Jodie Wallis, Managing Director for Artificial Intelligence at Accenture.
RESPECT AI:
Privacy, by design
In conversation with Dr. Ann Cavoukian, Executive Director of Global Privacy & Security by Design Centre.
RESPECT AI: AI with a conscience
In conversation with Valentine Goddard, Founder and Executive Director of AI Impact Alliance.
Robustness
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.
Fairness
Bias has long existed in our society – and so it exists in our data. We focus on how to eliminate bias and ensure a fair and ethical approach to AI.
Model Governance
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.
Explainability
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
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.
