March 2018
G.S. Beckwith Gilbert ’63 Public Lecture: Microsoft’s Brad Smith: The Rise of Artificial Intelligence: Who Will Have Jobs in the Future?
On January 17 Microsoft released a new book, The Future Computed: Artificial Intelligence and its role in society, available for free at news.microsoft.com/futurecomputed. Technology has fundamentally changed the way we consume news, plan our day, communicate, shop and interact with our family, friends and colleagues. Our world today was the stuff of science fiction only 20 years ago. What will our world look like in 2038? AI will enable breakthroughs in healthcare, agriculture, education, transportation and more. It’s already doing so in impressive ways. New technology also inevitably raises complex questions and broad societal concerns. As we look to a future powered by a partnership between computers and humans, it’s important that we address these challenges head on. How do we ensure that AI is designed and used responsibly? How do we establish ethical principles to protect people? How should we govern its use? And how will AI impact employment and jobs? What jobs will AI eliminate? What jobs will it create? How will work evolve? What strategies should be employed to ensure best outcomes?
September 2018
CITP Lecture Series: Finn Myrstad – Dark Patterns, IoT Security and Privacy: What a Doll, a Dating App and Two Tech Giants Can Tell Us About the Challenges of the Internet Today
Consumer advocate, Finn Lützow-Holm Myrstad, and his team at the Norwegian Consumer Council (NCC) in the last few years have conducted cutting edge analysis of privacy policies, combined with data and security analysis of apps and connected products, exposing malpractice and achieving some global changes with companies such as Apple, Tinder, Runkeeper and others. More recently, the NCC published a report on how tech companies use dark patterns to discourage us from exercising our right to privacy, focusing mainly on Facebook and Google. Finn is coming to Princeton to present some of their most recent work – and to discuss how to best fix these clear breaches of law and minimum standards.
October 2018
CITP Lecture Series: Sam Wang – Fixing Bugs in Democracy: The Road Ahead for Gerrymandering Reform
Gerrymandering, which occurs in district-based legislative systems, is defined as the drawing of boundaries to protect or target an individual or a group. In the United States, partisan gerrymandering has distorted representation to all-time modern highs. Data analysis and computing, which powered the original offenses, can also be harnessed for diagnosis and prevention. Diagnosis, which can help state and federal courts, can be as simple as a t-test, or as complex as the automated exploration of billions of plans. Prevention requires the ability to draw plans and predict their consequences. With the right open data and software, reformers and interested citizens can get involved in the redistricting process. This talk will describe the road to reform from a data-analytic perspective, and ask how data science can help terminate gerrymandering.
April 2019
CITP Lecture Series: Christopher A. Hart – Automation Challenges for Autonomous Vehicles
Nearly 40,000 people are killed in the U.S. every year in motor vehicle crashes. Experts estimate that more than 90% of motor vehicle crashes involve human error, and the theory is that by replacing human drivers with automation, this tragic human toll will largely be eliminated. While this theory is overly...
April 2020
CITP Webinar: Ed Felten – COVID-19, Technology, Privacy and Civil Liberties
Many systems have been proposed for using technology to help individuals and public health officials better respond to the COVID-19 pandemic. This talk will analyze the major proposed uses of information technology in the public health response to COVID-19, including aggregate ...