chore(cms): update "src/collections/risks/en/r8.md"

Author: carenwatkins

src/collections/risks/en/r8.md

@@ -6,15 +6,15 @@ risk: AI systems can sometimes produce incorrect or made-up information, and the
 mitigation: Confidence and uncertainty signals should be required on disability-related outputs, and high-stakes queries (i.e., clinical, legal, or accommodations-related) should be routed to verified resources. A review by an adequately trained human-in-the-loop with domain-specific expertise should be mandatory for any AI-generated information used in safety or medical contexts, or the AI should be explicit in indicating that it is unable to provide accurate information and refer the individual to a human-based source that they may be able to contact for support (i.e., hospital, 911, etc.).
 examples:
   education:
-    - title: ''
+    - title: Misleading AI explanations presented with confidence
       example: Students who rely on AI-generated descriptions of images, diagrams, or charts may receive inaccurate or incomplete descriptions. If the student cannot independently verify the content, this may affect understanding of key material, especially in subjects like science or mathematics.
   employment:
-    - title: ''
+    - title: Confident but incorrect HR guidance
       example: Human resources chatbots may provide incorrect information about policies,  workplace rights or accommodation processes while appearing confident. Employees who rely on these tools may not know the information is wrong. This can lead to missed supports or misunderstandings about available options.
   healthcare:
-    - title: ''
+    - title: Incorrect medical information and advice
       example: Symptom-checker chatbots may sometimes give incorrect answers while appearing very confident. They may miss or misinterpret disability-related symptoms, or suggest conditions that sound believable but are not accurate. This can lead to confusion or delay in seeking the right care.
   services:
-    - title: ''
+    - title: Inaccurate service guidance
       example: Chatbots used for public services may provide incorrect information about eligibility or processes while appearing confident. People who rely on these tools may not know the information is wrong. This can lead to missed benefits or incorrect applications.
 ---