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Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students
Artificial Intelligence (AI) has the power to improve our lives through a wide variety of applications, many of which fall into the healthcare space; however, a lack of diversity is contributing to limitations in how broadly AI can help people. The UCSF AI4ALL program was established in 2019 to addr...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830787/ https://www.ncbi.nlm.nih.gov/pubmed/35100256 http://dx.doi.org/10.1371/journal.pcbi.1009719 |
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author | Oskotsky, Tomiko Bajaj, Ruchika Burchard, Jillian Cavazos, Taylor Chen, Ina Connell, William T. Eaneff, Stephanie Grant, Tianna Kanungo, Ishan Lindquist, Karla Myers-Turnbull, Douglas Naing, Zun Zar Chi Tang, Alice Vora, Bianca Wang, Jon Karim, Isha Swadling, Claire Yang, Janice Lindstaedt, Bill Sirota, Marina |
author_facet | Oskotsky, Tomiko Bajaj, Ruchika Burchard, Jillian Cavazos, Taylor Chen, Ina Connell, William T. Eaneff, Stephanie Grant, Tianna Kanungo, Ishan Lindquist, Karla Myers-Turnbull, Douglas Naing, Zun Zar Chi Tang, Alice Vora, Bianca Wang, Jon Karim, Isha Swadling, Claire Yang, Janice Lindstaedt, Bill Sirota, Marina |
author_sort | Oskotsky, Tomiko |
collection | PubMed |
description | Artificial Intelligence (AI) has the power to improve our lives through a wide variety of applications, many of which fall into the healthcare space; however, a lack of diversity is contributing to limitations in how broadly AI can help people. The UCSF AI4ALL program was established in 2019 to address this issue by targeting high school students from underrepresented backgrounds in AI, giving them a chance to learn about AI with a focus on biomedicine, and promoting diversity and inclusion. In 2020, the UCSF AI4ALL three-week program was held entirely online due to the COVID-19 pandemic. Thus, students participated virtually to gain experience with AI, interact with diverse role models in AI, and learn about advancing health through AI. Specifically, they attended lectures in coding and AI, received an in-depth research experience through hands-on projects exploring COVID-19, and engaged in mentoring and personal development sessions with faculty, researchers, industry professionals, and undergraduate and graduate students, many of whom were women and from underrepresented racial and ethnic backgrounds. At the conclusion of the program, the students presented the results of their research projects at the final symposium. Comparison of pre- and post-program survey responses from students demonstrated that after the program, significantly more students were familiar with how to work with data and to evaluate and apply machine learning algorithms. There were also nominally significant increases in the students’ knowing people in AI from historically underrepresented groups, feeling confident in discussing AI, and being aware of careers in AI. We found that we were able to engage young students in AI via our online training program and nurture greater diversity in AI. This work can guide AI training programs aspiring to engage and educate students entirely online, and motivate people in AI to strive towards increasing diversity and inclusion in this field. |
format | Online Article Text |
id | pubmed-8830787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-88307872022-02-11 Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students Oskotsky, Tomiko Bajaj, Ruchika Burchard, Jillian Cavazos, Taylor Chen, Ina Connell, William T. Eaneff, Stephanie Grant, Tianna Kanungo, Ishan Lindquist, Karla Myers-Turnbull, Douglas Naing, Zun Zar Chi Tang, Alice Vora, Bianca Wang, Jon Karim, Isha Swadling, Claire Yang, Janice Lindstaedt, Bill Sirota, Marina PLoS Comput Biol Research Article Artificial Intelligence (AI) has the power to improve our lives through a wide variety of applications, many of which fall into the healthcare space; however, a lack of diversity is contributing to limitations in how broadly AI can help people. The UCSF AI4ALL program was established in 2019 to address this issue by targeting high school students from underrepresented backgrounds in AI, giving them a chance to learn about AI with a focus on biomedicine, and promoting diversity and inclusion. In 2020, the UCSF AI4ALL three-week program was held entirely online due to the COVID-19 pandemic. Thus, students participated virtually to gain experience with AI, interact with diverse role models in AI, and learn about advancing health through AI. Specifically, they attended lectures in coding and AI, received an in-depth research experience through hands-on projects exploring COVID-19, and engaged in mentoring and personal development sessions with faculty, researchers, industry professionals, and undergraduate and graduate students, many of whom were women and from underrepresented racial and ethnic backgrounds. At the conclusion of the program, the students presented the results of their research projects at the final symposium. Comparison of pre- and post-program survey responses from students demonstrated that after the program, significantly more students were familiar with how to work with data and to evaluate and apply machine learning algorithms. There were also nominally significant increases in the students’ knowing people in AI from historically underrepresented groups, feeling confident in discussing AI, and being aware of careers in AI. We found that we were able to engage young students in AI via our online training program and nurture greater diversity in AI. This work can guide AI training programs aspiring to engage and educate students entirely online, and motivate people in AI to strive towards increasing diversity and inclusion in this field. Public Library of Science 2022-01-31 /pmc/articles/PMC8830787/ /pubmed/35100256 http://dx.doi.org/10.1371/journal.pcbi.1009719 Text en © 2022 Oskotsky et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Oskotsky, Tomiko Bajaj, Ruchika Burchard, Jillian Cavazos, Taylor Chen, Ina Connell, William T. Eaneff, Stephanie Grant, Tianna Kanungo, Ishan Lindquist, Karla Myers-Turnbull, Douglas Naing, Zun Zar Chi Tang, Alice Vora, Bianca Wang, Jon Karim, Isha Swadling, Claire Yang, Janice Lindstaedt, Bill Sirota, Marina Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students |
title | Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students |
title_full | Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students |
title_fullStr | Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students |
title_full_unstemmed | Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students |
title_short | Nurturing diversity and inclusion in AI in Biomedicine through a virtual summer program for high school students |
title_sort | nurturing diversity and inclusion in ai in biomedicine through a virtual summer program for high school students |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830787/ https://www.ncbi.nlm.nih.gov/pubmed/35100256 http://dx.doi.org/10.1371/journal.pcbi.1009719 |
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