Policy Implications of AI in Education

The Impact of AI on STEM Careers

In this episode of Exploring the Role of AI in Education and the Workplace, leaders from industry and education discuss how artificial intelligence is changing careers in engineering, healthcare, manufacturing, and data science—creating new roles that demand both strong technical skills and distinctly human capabilities like problem-solving, collaboration, and adaptability.

Policy Implications of AI in Education

In this episode, experts explore how artificial intelligence is shaping policy across education and workforce systems. The discussion examines emerging regulations and global frameworks, with a focus on balancing innovation with privacy, accountability, and responsible use. Panelists unpack key issues such as bias in AI systems, data governance, and who holds responsibility when AI-driven decisions impact learners or workers.

Policy Implications of AI in Education - Special Segment with TIP/NSF

In this special segment, Dr. Mary Crowe of the National Science Foundation’s Directorate for Technology, Innovation, and Partnerships (TIP) highlights how TIP is driving the future of American innovation by accelerating research from the lab to real-world impact—focusing on critical technologies, expanding regional innovation, and building a skilled, competitive workforce. From transformative programs like Regional Innovation Engines and experiential learning initiatives to AI-driven workforce solutions, TIP is creating pathways that connect students, educators, and industry in powerful new ways.

Inside the AI Classroom: Technologies Shaping Tomorrow’s Learning

Artificial intelligence is beginning to reshape how learning happens in classrooms and training environments. In this episode of Exploring the Role of AI in Education and the Workplace, experts from education and industry examine how emerging AI technologies are influencing teaching, learning, and the development of future-ready skills.

AI Considerations: Ethics of AI and Data Privacy

In this episode, experts from education, technology, and industry examine how to balance innovation with responsibility as we integrate AI into education. The conversation explores what ethical AI really means in practice for educational environments—addressing issues of bias, transparency, accountability, and trust—while highlighting the growing importance of data privacy and safety across learning and workplace environments. Listeners will gain practical insights on creating responsible AI policies, safeguarding personal information, and fostering a culture of fairness and integrity as we integrate AI more deeply into how we learn, work, and lead.