Tuesday, November 26, 2019
I want to wish all BLPB readers a Happy Thanksgiving!
Below, I've excerpted information about the upcoming Law and Ethics of Big Data research symposium. The call for papers is here: Download BIG DATA CALL FOR PAPERS March 27-28 2020 at GA Tech
Law and Ethics of Big Data
Hosted and Sponsored by: Cecil B. Day Program for Business Ethics Machine Learning @ Georgia Tech (ML@GATECH)Georgia Institute of Technology, Scheller College of Business Co-Hosted by: Virginia Tech Center for Business Intelligence Analytics The Department of Business Law and Ethics, Kelley School of Business March 27th and 28th 2020 at the Scheller College of Business, Georgia Institute of Technology, Atlanta, GA
Abstract Submission Deadline: February 1, 2020
We are pleased to announce the research colloquium, “Law and Ethics of Big Data,” at the Scheller College of Business, Georgia Institute of Technology, Atlanta, GA, co-hosted by Professor Deven R. Desai, Assistant Professor Angie Raymond of Indiana University, and Professor Janine Hiller of Virginia Tech.
Due to the success of this multi-year event that is in its seventh year, the colloquium will be expanded and we seek broad participation from multiple disciplines; please consider submitting research that is ready for the discussion stage. Each paper will be given detailed constructive critique. We are targeting cross-discipline opportunities for colloquium participants, and the Scheller and ML@GATECH community has expressed interest in sharing in these dialogues. A non-inclusive list of topics that are appropriate for the colloquium include: Technical Realities of Transparency, Best Practices for Ethical Gathering and Use of Data and/or Algorithm Construction, Machine Learning for Good, Ethics of Data Commons, Ethical Principles for the Internet of Things, Health Privacy and MHealth, Employment and Surveillance, National Security, Civil Rights and Data, Smart Cities and Privacy, Cybersecurity and Big Data, and Data Regulation. We seek a wide variety of topics and methods (e.g., law, computer science, empirical, sociological, anthropological, etc.) that reflect the broad ecosystem created by ubiquitous data collection and use, and its effect in society.