Privacy-Enhancing Artificial Intelligence and Language Technologies (PAL 2019): Preface to the Proceedings Shomir Wilson Sepideh Ghanavati (Lead Organizer) School of Computing and Information Science College of Information Sciences and Technology University of Maine Pennsylvania State University Orono, ME 04469 USA State College, PA 16802 USA sepideh.ghanavati@maine.edu shomir@psu.edu Kambiz Ghazinour Norman Sadeh Department of Computer Science School of Computer Science Kent State University Carnegie Mellon University Kent, OH 44242 USA Pittsburgh, PA 15213 USA kghazino@kent.edu sadeh@cs.cmu.edu This AAAI Spring Symposium, held at Stanford Univer- were revised in response to this invitation, and those three sity in Palo Alto, California on March 25-27, 2019, is the appear in these proceedings as well. second in a series of events. The first, “Privacy and Lan- We thank many people for their help in making this event guage Technologies” (PLT), was a AAAI Fall Symposium possible: in Arlington, Virginia on November 17-19, 2016. Enthusi- • Our program committee, for their time, effort, and review- asm at PLT and a desire to run a similar event with a broader ing comments focus led us to organize PAL 2019. The goal of this symposium is to bring together re- • Our invited speakers, Jessica Staddon of Google and searchers in privacy and researchers in either artificial intel- Serge Egelman of ICSI ligence (AI) or human language technologies (HLTs), so that • AAAI, especially Carol Hamilton and Ipshita Ghosh, for we may collectively assess the state of the art in this grow- running registration and making the local arrangements ing intersection of interests. Privacy is an always-evolving and nuanced concern of computer users, as new technolo- We also thank the presenters and the attendees for their gies that use the web, smartphones, and the internet of things interest in making this event a success. (IoT) collect a myriad of personal information. Rather than viewing AI and HLT as problems for privacy, our aim is to “flip the script” and explore how AI and HLT can help meet users’ desires for privacy when interacting with computers. We also aim to explore how AI and HLT can help developers and regulators detect potential compliance issues. Overall, we focus on two research questions: 1. How can AI and HLT preserve or protect privacy in chal- lenging situations? 2. How can AI and HLT help interested parties (e.g., com- puter users, companies, regulatory agencies) understand privacy in the status quo and what people want? We received fifteen paper submissions, which were sub- ject to double-blind peer review by our program committee. Ten submissions were accepted pending minor revisions to address reviewer comments. Authors of the remaining five submissions were invited to submit abstracts and posters to be lightly reviewed by the organizers. Three of those five