325: Unmasking Hidden Bias in AI—Who’s Really in Control? Data Ethics & Responsibility with Dr. Brandeis Marshall, DataedX Group CEO

AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics

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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:

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