Ethics and Responsibility in STEM Education

Dr. Brandeis Marshall is a leading advocate for responsible data science and the CEO of Dataedx Group, a data ethics and learning development agency dedicated to helping teams identify and address discrimination in data. Previously, she was a professor of computer science at Spelman College and a faculty associate at Harvard. Dr. Marshall holds a master’s and Ph.D. in computer science from Rensselaer Polytechnic Institute (RPI).

In this conversation, we discuss:

• Why AI-powered companies should be regulated like scientific entities—and the hidden ways they optimize human behavior.
• The role of data ethics in AI—how companies can prevent bias and why everyone in the data pipeline is responsible for ethical decision-making.
• Why most businesses struggle with AI adoption—Brandeis explains how companies can bridge the AI gap and align data strategies with real business impact.
• The future of healthcare data—how a patient-owned, portable medical record system could revolutionize access and transparency.
• How AI can be leveraged to expose systemic inequalities and provide better opportunities for marginalized communities.
• Why AI should be seen as a support tool, not a replacement—Brandeis shares how AI can help neurodivergent individuals and enhance human decision-making.

Resources:

• Subscribe to the AI & The Future of Work Newsletter
• Connect with Brandeis on LinkedIn
• AI fun fact article
• On Using AI to Unlock Human Potential