The ASA Privacy and Confidentiality Committee, in partnership with the Federal Committee on Statistical Methodology Confidentiality and Data Access Interest Group, is sponsoring an upcoming seminar series on issues relating to statistical confidentiality and data access. The Committee will also be sponsoring several sessions at JSM in Boston this August.
transparency
Apertus: An LLM Designed for Data for Good
Apertus is an open-source large language model created to advance transparency and accessibility while supporting research, education, and projects that benefit society.
Spotlight on AI: The Importance of Human-Centered Machine Learning in Safety Critical Systems
Machine learning and data science are transforming decision-making in safety-critical domains such as aerospace, automotive, health care, and industry manufacturing. Though these technological advances have many advantages, they do present issues with transparency and reliability. This is where human-centered machine learning plays a crucial role.
Ethical Considerations for Developing and Using Artificial Intelligence in Statistical Practice
Ethical issues in statistical practice in the AI era require continuous attention, reflection, and dialogue among all parties involved. The ASA’s Ethical Guidelines for Statistical Practice and members of the ASA Committee on Professional Ethics are here to help.
Designing Against Bias in Machine Learning and AI
David Corliss examines how shifting the focus to testing for and mitigating bias at the design stage instead of after code is released can help prevent many of the problems seen in machine learning and artificial intelligence.
Data for Good: The Year in Review
The year 2020 was a year of great changes and challenges. The Data for Good community was at the center of many storms in the past year, rising to the challenge to support communities, guide an economy through a sea of troubles, preserve the environment, fight for justice, and—perhaps as no year before—save lives.
Kristian Lum: A Statistician Inspired by Human Rights
Building on an interest in mathematics while in high school, Kristian Lum went into college set on a math degree. However, what she expected was a connection between the problems and reality—something she didn’t find in higher mathematics. It wasn’t until she took a course in statistics that she really discovered her passion, because she could use quantitative skills to tackle real-world problems.
Reproducible Research in JASA
JASA is leading the effort to establish publication standards that improve research quality and reproducibility.
DHHS Administration for Children and Families Uses Rigorous Evaluation
Naomi Goldstein—deputy assistant secretary for planning, research, and evaluation at the U.S. Department of Health and Human Services Administration for Children and Families—writes about her agency’s evaluation policy.