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Navigating Big Data and Data Science Research Ethics - On Tech Ethics

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Manage episode 366605471 series 3440731
内容由CITI Program提供。所有播客内容(包括剧集、图形和播客描述)均由 CITI Program 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Discusses key considerations for data science researchers regarding ethical data and participant awareness.

Our guest is Katie Shilton, Ph.D. who is an associate professor in the College of Information Studies at the University of Maryland, College Park. She is the principal investigator (PI) of the PERVADE project, a multi-campus collaboration focused on big data research ethics. She is also a co-PI of the NSF Institute for Trustworthy Artificial Intelligence in Law & Society (TRAILS). She is the founding co-director of the University of Maryland’s undergraduate major in social data science.

Additional resources:

· PERVADE Data Ethics Tool: https://pervade.umd.edu/pervade-data-ethics-tool/
· PERVADE Selected Publications: https://pervade.umd.edu/selected-publications/
· CITI Program Big Data and Data Science Research Ethics course: https://about.citiprogram.org/course/big-data-and-data-science-research-ethics/

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Artwork
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Manage episode 366605471 series 3440731
内容由CITI Program提供。所有播客内容(包括剧集、图形和播客描述)均由 CITI Program 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Discusses key considerations for data science researchers regarding ethical data and participant awareness.

Our guest is Katie Shilton, Ph.D. who is an associate professor in the College of Information Studies at the University of Maryland, College Park. She is the principal investigator (PI) of the PERVADE project, a multi-campus collaboration focused on big data research ethics. She is also a co-PI of the NSF Institute for Trustworthy Artificial Intelligence in Law & Society (TRAILS). She is the founding co-director of the University of Maryland’s undergraduate major in social data science.

Additional resources:

· PERVADE Data Ethics Tool: https://pervade.umd.edu/pervade-data-ethics-tool/
· PERVADE Selected Publications: https://pervade.umd.edu/selected-publications/
· CITI Program Big Data and Data Science Research Ethics course: https://about.citiprogram.org/course/big-data-and-data-science-research-ethics/

  continue reading

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Discusses the importance of fostering AI literacy in research and higher education. Our guest today is Sarah Florini who is an Associate Director and Associate Professor in the Lincoln Center for Applied Ethics at Arizona State University. Sarah’s work focuses on technology, social media, technology ethics, digital ethnography, and Black digital culture. Among other things, Sarah is dedicated to fostering critical AI literacy and ethical engagement with AI/ML technologies. She founded the AI and Ethics Workgroup to serve as a catalyst for critical conversations about the role of AI models in higher education. Additional resources: Distributed AI Research Institute: https://www.dair-institute.org/ Mystery AI Hype Theater 3000: https://www.dair-institute.org/maiht3k/ Tech Won’t Save Us: https://techwontsave.us/ CITI Program’s Essentials of Responsible AI course: https://about.citiprogram.org/course/essentials-of-responsible-ai/…
 
Discusses data privacy compliance and environmental, social, and governance (ESG) reporting. Our guest today is Katrina Destrée who is a globally experienced privacy and sustainability professional. Katrina’s work in privacy and sustainability focuses on privacy programs, ESG reporting, awareness and training, and strategic communications. Additional resources: International Association of Privacy Professionals (IAPP): https://iapp.org/ ISACA: https://www.isaca.org/ Global Enabling Sustainability Initiative (GeSI): https://www.gesi.org/ Agréa Privacy & ESG: https://agreaprivacyesg.com/ CITI Program’s “GDPR for Research and Higher Ed” course: https://about.citiprogram.org/course/gdpr-for-research-and-higher-ed/ CITI Program’s “Big Data and Data Science Research Ethics” course: https://about.citiprogram.org/course/big-data-and-data-science-research-ethics/ CITI Program’s “Essentials of Responsible AI” course: https://about.citiprogram.org/course/essentials-of-responsible-ai/…
 
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Discusses the use of synthetic data in research and healthcare. Our guest today is Dennis L. Shung, MD, MHS, PhD, an Assistant Professor of Medicine at Yale School of Medicine and Director of Digital Health in Digestive Diseases. He leads the Human+Artificial Intelligence in Medicine lab, which focuses on enhancing human presence with AI. Dennis is also involved in multiple gastroenterology AI initiatives and research. Additional resources: NSF Program Solicitation on Mathematical Foundations of Digital Twins: https://new.nsf.gov/funding/opportunities/math-dt-mathematical-foundations-digital-twins/nsf24-559/solicitation AI models collapse when trained on recursively generated data: https://www.nature.com/articles/s41586-024-07566-y Synthetic data in machine learning for medicine and healthcare: https://www.nature.com/articles/s41551-021-00751-8 Synthetic data in medical research: https://bmjmedicine.bmj.com/content/1/1/e000167 Harnessing the power of synthetic data in healthcare: innovation, application, and privacy: https://www.nature.com/articles/s41746-023-00927-3 Essentials of Responsible AI: https://about.citiprogram.org/course/essentials-of-responsible-ai Big Data and Data Science Research Ethics: https://about.citiprogram.org/course/big-data-and-data-science-research-ethics/…
 
Discusses ethical issues and governance considerations associated with the collection, analysis, and sharing of genetic material and information. Our guest today is Shelly Simana, an assistant professor at Boston College Law School. Before joining BC, she was a fellow at Stanford Law School’s Center for Law and the Biosciences and a doctoral candidate at Harvard Law School. Her scholarship lies at the intersection of law and bioethics. Additional resources: Shelly Simana: https://www.bc.edu/bc-web/schools/law/academics-faculty/faculty-directory/shelly-simana.html National Human Genome Research Institute: https://www.genome.gov/ Technology, Ethics, and Regulations: https://about.citiprogram.org/course/technology-ethics-and-regulations/ Bioethics: https://about.citiprogram.org/course/bioethics/…
 
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Discusses smart city technologies, including some ethical and regulatory considerations. Our guest today is Junfeng Jiao, an Associate Professor in the Community and Regional Planning Program at the University of Texas at Austin. He is the founding director of the Urban Information Lab, Texas Smart Cities, the UT Ethical AI program, and a founding member of UT Austin's Good Systems Grand Challenge. His research focuses on smart cities, urban informatics, and ethical AI. Additional resources: Texas Smart Cities: https://smartcity.tacc.utexas.edu/pages/index.html Texas Smart Cities Events: https://smartcity.tacc.utexas.edu/events#E282128843 Urban Information Lab: https://sites.utexas.edu/uil/ Big Data and Data Science Research Ethics Course: https://about.citiprogram.org/course/big-data-and-data-science-research-ethics/…
 
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