- COVID-19 & the Future of Health Data, with Mona Sloane
The implementation of contact tracing and the collection of health data may be necessary for life to return to "normal" in the face of the COVID-19 pandemic, but is there any way to make sure these practices don't turn into "tools of oppression"? Mona Sloane, fellow at NYU's Institute for Public Knowledge, discusses her concerns about the "normalization" of these technologies and the effect that these strategies could have on vulnerable communities.
- Health Data, Privacy, & Surveillance: How Will the Lockdowns End? with Effy Vayena & Jeffrey Kahn
How should we think about privacy and government surveillance during the COVID-19 pandemic? Johns Hopkins' Jeffrey Kahn and ETH Zurich's Effy Vayena discuss health data and government surveillance, focusing on contract tracing apps in Europe and immunity certificates in the United States, with Carnegie Council President Joel Rosenthal in this virtual webinar.
- Ethics, Surveillance, & the Coronavirus Pandemic, with Arthur Holland Michel
As U.S. states and European nations contemplate how to end the COVID-19 quarantine, Senior Fellow Arthur Holland Michel discusses all aspects of surveillance and ethics. From ongoing issues in Baltimore to technologies focused on location data to the future of privacy and government regulation in a post-pandemic world, Michel and host Alex Woodson look at the current "Cambrian explosion" in surveillance technology.
- Facial Recognition, the Future of Privacy, & COVID-19, with Brenda Leong
In this wide-ranging talk, Future of Privacy Forum's Brenda Leong discusses the commercial uses of facial recognition technology, concerns about privacy and bias, how it's being utilized during the COVID-19 pandemic, and some tough questions about government surveillance. What's the future of facial recognition? How can we use this technology ethically?
- Facial Recognition Technology, Policy, & the Pandemic, with Jameson Spivack
Jameson Spivack, policy associate at Georgetown Law's Center on Privacy and Technology, discusses some of the most pressing policy issues when it comes to facial recognition technology in the United States and the ongoing pandemic. Why is Maryland's system so invasive? What are other states and cities doing? And, when it comes to surveillance and COVID-19, where's the line between privacy and security?
- Responsible AI & the COVID-19 Pandemic, with Rumman Chowdhury
How can we use artificial intelligence ethically during a crisis? How do we balance privacy with security and public health? Rumman Chowdhury, global lead for responsible AI at Accenture, discusses surveillance, supply chains, pseudoscience, Netflix, and much more as the world adjusts to social distancing.
- Behind AI Decision-Making, with Francesca Rossi
With artificial intelligence embedded into social media, credit card transactions, GPS, and much more, how can we train it to act in an ethical, fair, and unbiased manner? What are the theories and philosophies behind AI systems? IBM Research's Francesca Rossi discusses her work helping to ensure that the technology is "as beneficial as possible for the widest part of the population."
- Privacy, Surveillance, & the Terrorist Trap, with Tom Parker
How can investigators utilize new technology like facial recognition software while respecting the rights of suspects and the general public? What are the consequences of government overreaction to terrorist threats? Tom Parker, author of "Avoiding the Terrorist Trap," discusses privacy, surveillance, and more in the context of counterterrorism.
- Eyes in the Sky: The Secret Rise of Gorgon Stare and How It Will Watch Us All, with Arthur Holland Michel
Arthur Holland Michel, founder of the Center for the Study of the Drone, traces the development of the Pentagon's Gorgon Stare, one of the most powerful surveillance technologies ever created. When fused with big-data analysis techniques, this network can be used to watch everything simultaneously, and perhaps even predict attacks before they happen. Can we capitalize on its great promise while avoiding its potential perils?
- Control and Responsible Innovation of Artificial Intelligence
Artificial Intelligence's potential for doing good and creating benefits is almost boundless, but equally there is a potential for doing great harm. This panel discusses the findings of a comprehensive three-year project at The Hastings Center, which encompassed safety procedures, engineering approaches, and legal and ethical oversight.