Systems Failure: How to respond when our algorithms are biased and our privacy is in peril
Podcast |
PolicyCast
Publisher |
Harvard University
Media Type |
audio
Categories Via RSS |
Education
Publication Date |
Sep 17, 2021
Episode Duration |
00:31:54

Harvard Kennedy School Professor Latanya Sweeney is a pioneer in the fields of algorithmic fairness and data privacy and the founding director of the new Public Interest Tech Lab at Harvard University. The former chief technology officer for the US Trade Commission, she’s been awarded 3 patents and her work is cited in two key US privacy regulations, including the Health Information Portability and Accountability Act (HIPAA). She was also the first black woman to earn a PhD in Computer Science from MIT, and she says her experiences being the only woman of color in white male-dominated classrooms and labs may have contributed to her uncanny ability to spot racial and gender bias, privacy vulnerabilities, and other key flaws in data and technology systems.

About the “Systems Failure” Series: 

To kick off the fall 2021 season, we’re launching a mini-series of episodes built around a theme we’re calling “Systems Failure.” Our conversations will focus on how economic, technological, and other types of systems that play a huge role in determining how we live our lives can not only treat individuals and groups of people unequally, but can also exacerbate inequality more generally in society. We’ll also talk about strategies to change those systems to make them more equitable.

PolicyCast is a production of Harvard Kennedy School and is hosted by Staff Writer and Producer Ralph Ranalli

PolicyCast is co-produced by Susan Hughes.

For more information please visit our web page or contact us at PolicyCast@hks.harvard.edu.

Harvard Kennedy School Professor Latanya Sweeney a pioneer in the fields of algorithmic fairness and data privacy and the founding director of the new Public Interest Tech Lab at Harvard University. The former chief technology officer for the US Trade Commission, she’s been awarded 3 patents and her work is cited in two key US privacy regulations, including the Health Information Portability and Accountability Act (HIPAA). She was also the first black woman to earn a PhD in Computer Science from MIT, and she says her experiences being the only woman of color in white male-dominated classrooms and labs may have contributed to her uncanny ability to spot racial and gender bias, privacy vulnerabilities, and other key flaws in data and technology systems.

Harvard Kennedy School Professor Latanya Sweeney is a pioneer in the fields of algorithmic fairness and data privacy and the founding director of the new Public Interest Tech Lab at Harvard University. The former chief technology officer for the US Trade Commission, she’s been awarded 3 patents and her work is cited in two key US privacy regulations, including the Health Information Portability and Accountability Act (HIPAA). She was also the first black woman to earn a PhD in Computer Science from MIT, and she says her experiences being the only woman of color in white male-dominated classrooms and labs may have contributed to her uncanny ability to spot racial and gender bias, privacy vulnerabilities, and other key flaws in data and technology systems.

About the “Systems Failure” Series: 

To kick off the fall 2021 season, we’re launching a mini-series of episodes built around a theme we’re calling “Systems Failure.” Our conversations will focus on how economic, technological, and other types of systems that play a huge role in determining how we live our lives can not only treat individuals and groups of people unequally, but can also exacerbate inequality more generally in society. We’ll also talk about strategies to change those systems to make them more equitable.

PolicyCast is a production of Harvard Kennedy School and is hosted by Staff Writer and Producer Ralph Ranalli

PolicyCast is co-produced by Susan Hughes.

For more information please visit our web page or contact us at PolicyCast@hks.harvard.edu.

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