EBB 394 - Team EBB's Stance on AI in our Workplace

Artificial intelligence is rapidly changing how people search for information, including how families learn about pregnancy and birth. As this technology grows, it raises important questions about accuracy, ethics, and the role of human expertise in healthcare information.   In this episode, Dr. Rebecca Dekker and Dr. Sara Ailshire share a behind-the-scenes look at how Evidence Based Birth® developed its own AI policies. They discuss concerns about misinformation, bias, privacy, and environmental impact, as well as the potential effects on critical thinking and human connection.   Learn why EBB has chosen to avoid the use of AI in our research, and what that means both for our team and for you.   (03:22) Why EBB began developing an AI policy  (10:39) Defining AI, generative AI, LLMs, and hallucinations  (17:03) Ethical concerns: Accuracy, bias, and risks to evidence-based information  (20:14) Environmental impact of AI and data centers  (21:47) Privacy concerns and data security risks  (26:21) Intellectual property, sustainability, and loss of research context  (27:03) Humanitarian concerns and the impact of AI on jobs and communities  (31:24) AI's potential effects on cognition and critical thinking  (37:30) Why EBB takes a cautious, evidence-based approach to AI  (38:20) Research team policy (42:06) Content team policy (45:01) Programs team policy and guidance for applicants  (47:32) Hiring practices and commitment to human review (52:29) Final takeaways: EBB's overall stance on AI    References Read EBB's Statement on Artificial Intelligence: ebbirth.com/artificial-intelligence-statement/ For a Student Who Used AI to Write a Paper, by Joseph Fasano: https://poets.org/poem/student-who-used-ai-write-paper Barrington, F. (2025). "Thirsty for power and water, AI-crunching data centers sprout across the West." & The West Magazine, Stanford University. April 8, 2025. https://andthewest.stanford.edu/2025/thirsty-for-power-and-water-ai-crunching-data-centers-sprout-across-the-west/ Gecker, J. (2025). "Big Tech is paying millions to train teachers on AI, in a push to bring chatbots into classrooms." Associated Press. October 20, 2025. https://apnews.com/article/artificial-intelligence-teacher-union-microsoft-f7554b6550fb90519dd8129acac8e291 Han, Y., Wu, Z., Li, P., et al. (2024). "The Unpaid Toll: Quantifying and Addressing the Public Health Impact of Data Centers." arXiv preprint arXiv: 2412.06288. https://arxiv.org/pdf/2412.06288 Hou, H., Leach, K., & Huang, Y. (2024). "ChatGPT Giving Relationship Advice - How Reliable Is It?" Proceedings of the Eighteenth International AAI Conference on Web and Social Media: 610–623. https://ojs.aaai.org/index.php/ICWSM/article/view/31338 Kosmyna, N., Hauptmann, E., Yuan, Y. T., et al. (2025). "Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task." arXiv preprint arXiv:2506.08872. https://arxiv.org/abs/2506.08872 Marrinan, C. (2025). "Data Center Boom Risks Health of Already Vulnerable Communities." Tech Policy Press.com. June 12, 2025. <a class= "ql-link" href= "https://www.techpol