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.
In conversation with Jodie Wallis, Managing Director for Artificial Intelligence at Accenture.
In conversation with Dr. Sander Klous, Professor of Big Data Ecosystems at the University of Amsterdam and Partner in Charge of D&A at KPMG in the Netherlands.
In conversation with Dr. Ann Cavoukian, Executive Director of Global Privacy & Security by Design Centre.
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.
