Data science, machine learning, and artificial intelligence are among the fastest-growing technologies of the 21st century. The rapid adoption of AI and data-driven decision making will have a substantial impact on job availability, privacy and security, education at all levels, business operations, accessibility of information, scientific activity, and how we interact with each other and with the world around us. The potential challenges of this transformation include data bias, misinformation and disinformation, privacy and security concerns, and autonomy and accountability. In order to ensure that all members of society benefit equally from these technology advances, it is essential for the industry to recognize, understand, and mitigate against potential negative consequences. One of the best ways to accomplish these goals is to increase the diversity of the engineers who create these systems.

Dr. desJardins will talk about the current state of AI, machine learning, and data science; the future of AI technology; the importance of diversity for creating robust, effective engineering solutions; and how we can thoughtfully ensure that these technologies will positively affect our lives and the lives of generations to come.

Session Overview

Diversity in Data Science: Challenges and Possibilities 

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    Diversity in Data Science: Challenges and Possibilities 

    • Abstract & Bio

    • Presentation Slides

    • Diversity in Data Science: Challenges and Possibilities 


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