diff --git a/04b-AI_Policy-ai_regs_and_laws.Rmd b/04b-AI_Policy-ai_regs_and_laws.Rmd
index 3bfd374e..4d083a9c 100644
--- a/04b-AI_Policy-ai_regs_and_laws.Rmd
+++ b/04b-AI_Policy-ai_regs_and_laws.Rmd
@@ -59,8 +59,11 @@ Some individual industries have already begun adopting policies about generative
 ```{r, out.width = "100%", echo = FALSE}
 ottrpal::include_slide("https://docs.google.com/presentation/d/1PSprPB9RrNJh_01BXAcj9jn6NK2XzWx74vD_YmQyliM/edit#slide=id.g2a84ae71e54_0_67")
 ```
+# Case Studies
 
-### Education
+AI regulations and policies are continuing to evolve as people adapt to the use of AI. Let's look at some real-life examples.
+
+## Education
 
 For students and educators, generative AI's capacity in writing, problem solving, and conducting research has upended the goals and evaluations of our education system. For instance, ChatGPT 4 has been able to generate college-level essays to earn passing grades at Harvard with minimal prompting for various subjects @slowboring. Many educational institutions reacted with various policies and adaptations; first to protect the current educational environment, then to consider adapting to generative AI's capacity. 
 
@@ -82,7 +85,7 @@ Each educational institution and classroom is adapting to AI differently. The Mi
 -   _What structural conditions would need to change in order for AI to empower, rather than threaten, teachers and learners? How can we create those conditions?_  Some teachers have started to actively learn how their students use AI, and are using AI to assist with writing their teaching curriculum @nytimes-technology1.
 
 
-### Healthcare
+## Healthcare
 
 The health care industry is an example of an industry where the speed of technology development has led to gaps in regulation, and the US recently released an Executive Order about creating [healthcare-specific AI policies](https://www.whitehouse.gov/briefing-room/blog/2023/12/14/delivering-on-the-promise-of-ai-to-improve-health-outcomes/). 
 The U.S. Food and Drug Administration (FDA) regulates AI-enabled medical devices and software used in disease prevention, diagnosis, and treatment. However, there are serious concerns about the adequacy of current regulation, and many other AI-enabled technologies that may have clinical applications fall out of the scope of FDA regulation. Other federal agencies, such as the Health and Human Services Office of Civil Rights, have important roles in the oversight of some aspects of AI use in health care, but their authority is limited. Additionally, there are existing federal and state laws and regulations, such as the Health Insurance Portability and Accountability Act (HIPAA), that impact the use and development of AI. This patchwork landscape of federal and state authority and existing laws has led the American Medical Association (AMA) to advocate for a “whole government” approach to implement a comprehensive set of policies to ensure that “the benefits of AI in health care are maximized while potential harms are minimized.”