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.
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AI Companies as Scientific Entities
- AI-powered companies are actually science companies.
- They're trying to optimize human behavior, making humans the product.
Data Ethics Definition
- Data ethics considers responsible data use to enhance human experiences.
- It involves understanding data's context and nuances to avoid weaponization.
Responsibility in Data Pipeline
- Everyone touching data in the pipeline is responsible for ethical considerations.
- Question data inputs, handle data responsibly, and communicate context to others.