diff --git a/metadata/ai-enhances-bias.md b/metadata/ai-enhances-bias.md
index cde16cc..b95e5f5 100644
--- a/metadata/ai-enhances-bias.md
+++ b/metadata/ai-enhances-bias.md
@@ -26,7 +26,7 @@ Links are kept outside of my YouTube descriptions after [YouTube threatened me o
 11. I didn't bother to cite heuristics or their use in control systems because this is such a basic fact I didn't think it important to give specific links to.
 12. PEW Research Center: [60% of Americans Would Be Uncomfortable With Provider Relying on AI in Their Own Health Care](https://www.pewresearch.org/science/2023/02/22/60-of-americans-would-be-uncomfortable-with-provider-relying-on-ai-in-their-own-health-care/)
 13. arXiv: [Problems and shortcuts in deep learning for screening mammography](https://arxiv.org/pdf/2303.16417)
-14. https://community.the-hospitalist.org/sections/fundermentals?page=2 (this link might not load, in which [click here](https://community.the-hospitalist.org/sections/fundermentals), scroll down, and click next page (and then do it again))
+14. [https://community.the-hospitalist.org/sections/fundermentals?page=2](https://community.the-hospitalist.org/sections/fundermentals?page=2) (this link might not load, in which [click here](https://community.the-hospitalist.org/sections/fundermentals), scroll down, and click next page (and then do it again))
 15. [Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification](https://icml.cc/media/icml-2022/Slides/15966.pdf) (a university slideshow presenting findings from several studies); also [(De)Constructing Bias on Skin Lesion Datasets](https://openaccess.thecvf.com/content_CVPRW_2019/papers/ISIC/Bissoto_DeConstructing_Bias_on_Skin_Lesion_Datasets_CVPRW_2019_paper.pdf) is a neat example of spurious correlations; also [this](https://www.sciencedirect.com/science/article/pii/S0022202X23029640)
 16. [When AI flags the ruler, not the tumor -- and other arguments for abolishing the black box](https://venturebeat.com/business/when-ai-flags-the-ruler-not-the-tumor-and-other-arguments-for-abolishing-the-black-box-vb-live)
 17. [BOINC](https://boinc.berkeley.edu): donate computing power to scientific research