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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.
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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.
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