Dear ASA Members and Colleagues,
Registration for the 2026 ASA Philadelphia Chapter Traveling Course, "Modern Ethical Issues and Best Practices in Data, Analytics, and AI" is now open on https://www.eventbrite.com/e/modern-ethical-issues-and-best-practices-in-data-analytics-and-ai-tickets-1997722722440?aff=oddtdtcreator. Click or tap if you trust this link." data-linkindex="7">Eventbrite. This virtual, full-day course will take place on Friday, October 2 from 8:00am to 5:00pm EDT. There is a minimal charge in order to cover the cost of the course ($15 for students, $35 for chapter members, $40 for non-chapter members). Please https://www.eventbrite.com/e/modern-ethical-issues-and-best-practices-in-data-analytics-and-ai-tickets-1997722722440?aff=oddtdtcreator. Click or tap if you trust this link." data-linkindex="8">register for the course if you would like to attend. In the week before October 2, an email with the course materials and the virtual meeting link will be sent to all registrants. There is no requirement that you attend all parts of this course if you are unable to make the entire day. Participants are encouraged to attend live as much as possible since the interactive format and Q&A are an important part of the course.
Below you will find information on the instructors, abstract and the agenda for the course. I hope that you will be able to join us for this exciting learning opportunity!
Jingwei Wu, ASA Philadelphia Chapter Secretary 2026-2027
Instructors:
David J Corliss, PhD, Principal Data Scientist at Grafham Analytics.
David J Corliss, PhD is the Principal Data Scientist at Grafham Analytics and is the founder of Peace-Work, a volunteer cooperative of statisticians, data scientists and other researchers applying analytics in issue-driven advocacy. Dr. Corliss has been teaching ASA Travelling Courses since the Spring of 2024, which is constantly updated to reflect the latest changes in this fast-changing subject. He is active in the American Statistical Association, serving on the ASA Board, and writing a monthly column Stats4Good on Data For Good for Amstat News. Dr. Corliss holds a PhD is statistical astrophysics and is a Fellow of the American Statistical Association and the American Association for the Advancement of Science.
Abstract:
This workshop discusses emerging issues for ethical best practices in data, analytics, and AI. The course includes a half day on ethical best practices for data management, including the rapidly changing data practice standards in the US driven by policy changes, new legislation at the state level, and especially court decisions using existing law in areas such as copyright and product liability to decide cases related to data and AI. This section of the course also includes learning ethical best practices from standards in other professions and the impact of the European General Data Protection Regulation (GDPR) on ethical practices around the world. The second part of the course presents a half-day on issues in analytics and AI such as model bias mitigation, the rapidly evolving federal landscape, and the ASA's guidelines for ethical practices in AI. The workshop teaches a practical understanding of ethical issues in data and analytics, presenting concrete examples of both good and bad practices, enabling course attendees to better understand the changing ethical landscape and address potential questions and issues.
Agenda
Part 1 (Morning 8:00AM - 12:00PM): Ethical Issues in Data Use and Standard Practices
- 8:00AM - 8:05AM: Introduction
- 8:05AM - 9:00AM: GDPR: How its use is shaping ethics in applications around the world
- 9:00AM - 9: 55AM: US Data Landscape: court cases driving the evolution of ethical practice
- 9:55AM - 10:05AM: Break
- 10:05AM - 11:00AM: Learning from ethical standards in other professions
- 11:00AM - 12:00PM: Becoming an advocate for ethics in data and analytics
Lunch Break : 12:00PM - 1:00PM
Part 2 (Afternoon 1:00PM - 5:00PM): : Ethical Practices in Analytics and AI
- 1:00PM - 2:00PM: Algorithm Bias Measurement and Mitigation
- 2:00PM - 2:55PM: The Changing Federal Environment: Shifting Focus to "Operational AI"
- 2:55PM - 3:05PM: Break
- 3:05PM - 4:00PM: The American Statistical Association Statement on Ethical AI Principles for Statistical Practitioners
- 4:00PM - 4:55PM: Resources and examples for understanding and implementing ethical best practices
- 4:55PM - 5:00PM: Closing
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Jingwei Wu
Associate Professor
Temple University, CPH
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