8 min listen
The Future Impact of AI on Society Panel | Live from Datapalooza
FromUVA Data Points
ratings:
Length:
58 minutes
Released:
Dec 1, 2023
Format:
Podcast episode
Description
Artificial intelligence has the potential to change our societies, economies, and political systems in both intentional and unintended ways. While it is difficult to understand the full extent of what the long-term impacts may be, we have enough shared knowledge and expertise to predict the likely shapes that these changes may take—both for better and for worse. More importantly, we should ask ourselves what kind of future we want AI to help us create: what we want from the future of AI should ultimately determine the future of AI. This panel will bring together experts to discuss the intersection of AI and society and offer suggestions for how AI might work within a just, inclusive, sustainable, and fair digital future.
Panelist
Farhana Faruqe, Assistant Professor of Data Science
Sarah Lebovitz, Assistant Professor of Commerce
Larry Medsker, Research Professor, George Washington University
Mar Hicks, Associate Professor of Data Science (moderator)
Panelist
Farhana Faruqe, Assistant Professor of Data Science
Sarah Lebovitz, Assistant Professor of Commerce
Larry Medsker, Research Professor, George Washington University
Mar Hicks, Associate Professor of Data Science (moderator)
Released:
Dec 1, 2023
Format:
Podcast episode
Titles in the series (24)
4 + 1 Model of Data Science: Before diving into the complex world of data science it seemed to wise to establish a shared definition of the field. Here at the UVA School of Data Science, we have defined data science with the 4 + 1 Model. This model serves an outline for the first series of UVA Data Points. It also serves as a guiding definition within the School of Data Science, touching everything from research to course planning. In this introduction trailer, host Monica Manney discusses the history, development, and function of the 4 + 1 Model of Data Science with its main author, Raf Alvarado. Below is a brief expect from An Outline of the 4 + 1 Model of Data Science by Raf Alvarado: “The point of the 4 + 1 model, abstract as it is, is to provide a practical template for strategically planning the various elements of a school of data science. To serve as an effective template, a model must be general. But generality if often purchased at the cost of intuitive understanding. The fol by UVA Data Points