Does Artificial Intelligence (AI) Support Diversity, Equity and Inclusion? by Patrice Caire

Patrice Caire
Consulting scientist, writer and Ethical-AI advocate
Today, Artificial Intelligence (AI) is deployed everywhere-from smartphones to search engines-raising ethical questions particularly concerning women and minorities. However, governments and companies have been slow to address AI biases and discriminations. In this talk, I focus on the question whether AI supports diversity, equity, and inclusion. Using daily life use cases and examples, I illustrate the significance of the input data while training models. Then I stress the importance to recognize, understand and remove biases in this input. All along, I present recommendations like establishing AI standards and regulations in order to fill the legal void in which companies operate and including diverse demographics that reflect the composition of our society, to design, develop and test current and future AI technologies.
Bio:
I’ve been exploring AI and Robotics throughout my career.
As a computer scientist (PhD in Computer Sciences, NYU & University of Luxembourg.) I’m a Consulting Scientist at Stanford University’s Robotics Lab. I’ve also worked extensively in Silicon Valley, and I founded the Social Robotics Lab at the University of Luxembourg.
As a writer, I do tech journalism and author peer-reviewed articles on computer science.
As a speaker, I talk-in plain language-about a range of tech topics, from the prospect of robots inheriting the Earth, to the future of Alexa, the ubiquitous digital assistant.