Artificial intelligence has an increasingly powerful impact on our daily lives as it is used within the government sector. Both local and national governments utilize AI technologies to inform decision-making processes in areas such as predictive policing, criminal risk, eligibility for government assistance, welfare or benefits, immigration, and more.
Join RMDS and leading professionals in the AI and ethics field for an informed discussion on AI and criminal justice. Moderator Merve Hickok will be joined by James Brusseau, Renee Cummings and Joe Devon in this virtual panel discussion on some fundamental topics regarding AI within the justice system. We’ll explore the implications of bias in data science & AI systems and the importance of ethical decisions in developing and implementing these algorithms. Some questions to consider: How can bias be avoided or mitigated within the analytical process? What are the principles that guide AI to make decisions? Can algorithms always make good decisions? How about fair decisions? There are many hidden ethical issues to consider with automated decision making systems - we’ll shed light on some of them and empower attendees to be informed when using and critiquing AI systems within social and criminal justice frameworks.
This panel is hosted by RMDS Lab. We strive to be a global resource for using AI and data science for positive social impact. The opinions of panelists are their own and do not necessarily represent the opinions of RMDS Lab.
- Monday — June 29, 2020
4:00PM - 6:00PM
Research Methods and Data Science Meetup
This Research Methods and Data Science (RMDS) meetup group is devoted to make big data & AI useful, and to promote big data technologies. It is a meet-up group bringing together people from research methodology, data science, data professional services, AI and computing in the greater Los Angeles area.
The focus of the group is about utilizing big data & AI technologies to improve data analytics & research for social good, and to promote research methods and data science innovation. On a regular base, we run workshops on big data analytics that can be applied to model and visualize open data and other complicated big data sets. Also, we will organize special meetings to discuss special data science projects, as well as data science automation and augmentation.