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
Ethics and Responsibility in STEM Education
This chapter explores the integration of ethics, philosophy, and social sciences into STEM education, focusing on the implications of AI tools and data practices. It emphasizes the need for oversight in AI companies and the responsibilities of individuals in the data handling process to prevent biases and negative stereotypes. The discussion highlights the positive potential of AI in enhancing inclusivity, communication, and professional education while advocating for a thoughtful approach to data usage.
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