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

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

Mar 3, 2025

Brandeis Marshall, CEO of DataedX Group and a former computer science professor, dives deep into the ethics of AI and data usage. She argues that AI companies should be regulated like scientific entities to prevent bias and ensure ethical decision-making. Brandeis discusses the challenges businesses face in AI adoption and shares her vision for patient-owned medical records to enhance healthcare access. She emphasizes AI as a supportive tool, especially for neurodivergent individuals, and the necessity of promoting inclusivity in data practices.

42:37

Episode guests

Brandeis Marshall

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Episode notes

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Quick takeaways

AI companies should be regulated like scientific entities to ensure ethical data practices that prevent biases and inequities.

Every individual in the data pipeline holds responsibility for ethical decision-making, significantly impacting the outcomes derived from data usage.

Deep dives

The Need for Oversight in AI Development

AI companies should be viewed as scientific entities necessitating oversight and regulation aligned with scientific principles. This perspective highlights the ethical implications of data usage, emphasizing that every individual involved with the data share in the responsibility for its outcomes. The call for ethical scrutiny underscores that data can be weaponized inappropriately if not managed correctly, leading to biases and inequities. Emphasizing context in data application is crucial, as improper data usage could exacerbate societal issues rather than mitigate them.

Intro

4min

From Academia to Entrepreneurship: Navigating the Data Landscape

4min

Ethics and Responsibility in STEM Education

25min

Enhancing Transparency and Access in Healthcare Algorithms

5min

Overcoming Barriers: The Power of Support and Resilience in STEM

5min

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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