Wall Street Journal explores how the U.S. government is using app-generated marketing data based on the movements of millions of cellphones around the country for some forms of law enforcement.
Chris Seferlis covers the Data Discovery and Classification options available in Azure SQL Database offerings in this video.
Lex Fridman shared this lecture by Andrew Trask in January 2020, part of the MIT Deep Learning Lecture Series.
0:00 – Introduction
0:54 – Privacy preserving AI talk overview
1:28 – Key question: Is it possible to answer questions using data we cannot see?
5:56 – Tool 1: remote execution
8:44 – Tool 2: search and example data
11:35 – Tool 3: differential privacy
28:09 – Tool 4: secure multi-party computation
36:37 – Federated learning
39:55 – AI, privacy, and society
46:23 – Open data for science
50:35 – Single-use accountability
54:29 – End-to-end encrypted services
59:51 – Q&A: privacy of the diagnosis
1:02:49 – Q&A: removing bias from data when data is encrypted
1:03:40 – Q&A: regulation of privacy
1:04:27 – Q&A: OpenMined
1:06:16 – Q&A: encryption and nonlinear functions
1:07:53 – Q&A: path to adoption of privacy-preserving technology
1:11:44 – Q&A: recommendation systems
Lex Fridman interviews Michael Kearns in the latest episode of his podcast.
Michael Kearns is a professor at University of Pennsylvania and a co-author of the new book Ethical Algorithm that is the focus of much of our conversation, including algorithmic fairness, privacy, and ethics in general. But, that is just one of many fields that Michael is a world-class researcher in, some of which we touch on quickly including learning theory or theoretical foundations of machine learning, game theory, algorithmic trading, quantitative finance, computational social science, and more. This conversation is part of the Artificial Intelligence podcast.
Face-recognition technology is quickly becoming more common. Should we be concerned?
It’s being used to unlock phones, clear customs, identify immigrants and solve crimes. In the Video Op-Ed above, Clare Garvie demands the United States government hit pause on face recognition. She argues that while this convenient technology may seem benign to those who feel they have nothing to hide, face recognition is something we should all fear. Police databases now feature the faces of nearly half of Americans — most of whom have no idea their image is there. The invasive technology violates citizens’ constitutional rights and is subject to an alarming level of manipulation and bias.
Here’s a talk, that looks at third party tracking on Android.
From the video description:
We’ve captured and decrypted data in transit between our own devices and Facebook servers. It turns out that some apps routinely send Facebook information about your device and usage patterns – the second the app is opened. We’ll walk you through the technical part of our analysis and end with a call to action: We believe that both Facebook and developers can do more to avoid oversharing, profiling and damaging the privacy of their users.
If any company takes the idea that “data is the new oil” to heart, it’s Facebook. Here’s a sobering interview with Yael Eisenstat, a former Facebook employee, by WIRED Magazine about the consequences of it all.
The titans of social media are trapped, and we’re all suffering for it. As free services, Facebook, Twitter, and YouTube monetize you by keeping you engaged, so they can show you more ads. The services are designed to exploit our brain chemistry, flashing us notifications and giving us one more hit of algorithm-recommended video. If they didn’t, their revenue would dwindle and shareholders would be unhappy.
BBC Click visits Toronto’s new ‘smart’ neighborhood. However, some residents aren’t so happy about living in the new age of ‘surveillance capitalism’.
Law enforcement agencies like the New Orleans Police Department are adopting AI based systems to analyze surveillance footage. WSJ’s Jason Bellini gets a demonstration of the tracking technology and hears why some think it’s a game changer, while for others it’s raising concerns around privacy and potential bias.
Lex Fridman interviews Rosalind Picard, a professor at MIT, director of the Affective Computing Research Group at the MIT Media Lab, and co-founder of two companies, Affectiva and Empatica. Over two decades ago she launched the field of affective computing with her book of the same name. This book described the importance of emotion in artificial and natural intelligence, the vital role emotion communication has to relationships between people in general and in human-robot interaction.