Patrice
Caire
Consulting scientist, writer and Ethical-AI advocate
"Does Artificial Intelligence (AI) Support Diversity, Equity and Inclusion?"
"Does Artificial Intelligence (AI) Support Diversity, Equity and Inclusion?"
07 - 4:10 AM EDT/New York (See in local time)
Add to Calendar
04//2024 4:10 AM
04//2024 04:30 AM
America/New_York
#WTGC2024
"Does Artificial Intelligence (AI) Support Diversity, Equity and Inclusion?"
#WTGC2024
"Does Artificial Intelligence (AI) Support Diversity, Equity and Inclusion?"
https://app.events.ringcentral.com/events/women-in-tech-global-conference-2024/reception
https://www.womentech.net/vfairs
"Does Artificial Intelligence (AI) Support Diversity, Equity and Inclusion?"
"Does Artificial Intelligence (AI) Support Diversity, Equity and Inclusion?"
Don’t miss out and join visionaries, innovators, and thought leaders from all over the world at the Women in Tech Global Conference.
Vote by Sharing
Unite 100 000 Women in Tech to Drive Change with Purpose and Impact.
Do you want to see this session? Help increase the sharing count and the session visibility. Sessions with +10 votes will be available to career ticket holders.
Please note that it might take some time until your share & vote is reflected.
Session: Does Artificial Intelligence (AI) Support Diversity, Equity and Inclusion?
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.Key Takeaways
- Understand that today, AI impacts almost everyone, but that the negative impacts are particularly affecting women and minorities.
- Learn why scientific experts are urging governments and companies to take action and develop AI standards and regulations.
- See how critical it is for all citizens be aware of AI biases and learn how to identify them.
- Grasp the significance of the input data used to train AI models.
- Realize that to prepare the future, women and minorities should become full participants in the design and development of the AI technologies that shape our world.
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.
