ΑΙhub.org
 

GRACE Podcast: Dr Harriett Jernigan interviews Dr Brandeis Marshall


by
04 July 2022



share this:
grace podcast

GRACE: Global Review of AI Community Ethics is a new student-run, peer-reviewed, open-access, international journal. To accompany the journal, there is a podcast hosted by Dr Harriett Jernigan.

In this first episode, Harriett interviews Dr Brandeis Marshall about her research, ranking algorithms, misinformation, combining the analytical and the creative, the lack of Black women in leadership roles in the data industry, the disproportional effect of data on Black women, tech solutionism, her forthcoming book, and more.

Listen to the audio version below:

You can watch the video version here.

Dr Brandeis Marshall is founder and CEO of DataedX Group, a social impact business that provides learning and development activities on recognizing algorithmic harms and humanizing data practices for data educators, scholars and practitioners. She is also Full Professor of Computer Science at Spelman College. She holds a Ph.D. and Master of Science in Computer Science from Rensselaer Polytechnic Institute and a Bachelor of Science in Computer Science from the University of Rochester. Find out more about her forthcoming book here.

Dr Harriett Jernigan is a lecturer at Stanford University. She earned her BA in German and Creative Writing at the University of Alabama and her PhD in German Studies at Stanford University. She specializes in writing across the disciplines; second-language acquisition; project-based instruction; social geography; and German languages, literatures and cultures.




GRACE

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

AI for ethology: an interview with Isla Duporge

  08 Sep 2026
Deep learning is becoming a powerful tool for understanding animal behaviour and tracking populations.

AI in cardiology: The path to practical application carries risks

  07 Sep 2026
Can artificial intelligence help us better combat cardiovascular diseases? Legal researcher Hannah van Kolfschooten urges caution, as there are still many legal issues that need to be resolved.

AI-powered camera system offers low-cost way to monitor bumblebees

  04 Sep 2026
Researchers have developed a semi-automated method that uses remote cameras to survey bumblebees and potentially other insects.

Interview with Noah Golowich – theoretical foundations for learning in games and dynamic environments

  03 Sep 2026
Noah Golowich tells us about his research into the theory of decision making and learning in games, which have applications in Multi-Agent Reinforcement Learning.

Forthcoming machine learning and AI seminars: September 2026 edition

  02 Sep 2026
A list of free-to-attend AI-related seminars that are scheduled to take place in the next couple of months.
AI pioneers

Combining cultures, from code to canvas: an interview with Ken Goldberg

  01 Sep 2026
AI Pioneer Ken Goldberg on the clash of cultures within robotics, his career bridging art and science, and the meteoric rise of agentic robotics.

What happens when AI runs out of pictures?

AI is data-hungry and needs thousands of images to learn how to detect tumours or product defects, but often very few are available. A new method aims to change that.
monthly digest

AIhub monthly digest: August 2026 – IJCAI-ECAI in Bremen, the mathematics of simplicity, and does AI change the way we think?

  28 Aug 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence