Michal Kosinski * 4:30PM, Wed Apr 11, 2018 in Gates B03

["Dave Farber" <farber () gmail com>]

Begin forwarded message:

> From: "Dennis Allison" <allison () stanford edu>
> Date: April 6, 2018 at 12:31:44 AM EDT
> To: farber () cis upenn edu
> Subject: [EE CS Colloq] Michal Kosinski * 4:30PM, Wed Apr 11, 2018 in Gates B03
> Reply-To: "Dennis Allison" <allison () stanford edu>
>
> Stanford EE Computer Systems Colloquium
>
> 4:30 PM, Wednesday, Apr 11, 2018
> NEC Auditorium, Gates Computer Science Building Room B3 
> http://ee380.stanford.edu
>
> Michal Kosinski 
> Stanford GSB
> The End of Privacy
> About the talk:
>
> A growing proportion of human activities such as social interactions, entertainment, shopping, and gathering 
> information are now mediated by digital devices and services. Such digitally mediated activities can be easily 
> recorded, offering an unprecedented opportunity to study and measure intimate psycho-demographic traits using 
> actual--rather than self-reported--behavior. Our research shows that digital records of behavior, such as samples of 
> text, Tweets, Facebook Likes, web-browsing logs, or even facial images can be used to accurately measure a wide range 
> of traits including personality, intelligence, and political views. Such Big Data assessment has a number of 
> advantages: it does not require participants' active involvement; it can be easily and inexpensively applied to large 
> populations; and it is relatively immune to cheating or misrepresentation. If used ethically, it could revolutionize 
> psychological assessment, marketing, recruitment, insurance, and many other industries. In the wrong hands, however, 
> such methods pose significant privacy risks. In this talk, we will discuss how to reap the benefits of Big Data 
> assessment while avoiding the pitfalls.
>
> About the speaker:
>
>       Michal Kosinski is the Assistant Professor in Organizational Behavior at Stanford University Graduate School of 
> Business. His research focuses on humans in a digital environment and employs cutting-edge computational methods and 
> Big Data mining. Michal received his PhD in Psychology from the University of Cambridge (UK) in 2014. Prior to his 
> current appointment, he was as a Postdoctoral Scholar at Stanford University (Computer Science Department) and a 
> researcher at Microsoft Research.
> Contact information:
>
> Michal Kosinski
> Stanford Graduate School of Business 
> ` ABOUT THE COLLOQUIUM:
>
> See the Colloquium website, http://ee380.stanford.edu, for scheduled speakers, FAQ, and additional information. 
> Stanford and SCPD students can enroll in EE380 for one unit of credit. Anyone is welcome to attend; talks are webcast 
> live and archived for on-demand viewing over the web.
>
> MAILING LIST INFORMATION:
>
> This announcement is sent to multiple mailing lists. If you are signed up on our private EE380 list you can remove 
> yourself using the widget at the upper left hand corner of the Colloquium web page. Other lists have other management 
> protocols.



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