The End of Privacy

Explore the implications of digital behavior tracking and Big Data assessment in this Stanford University seminar on privacy. Discover how digital records of behavior, including text samples, social media activity, and facial images, can accurately measure psycho-demographic traits such as personality, intelligence, and political views. Learn about the advantages of Big Data assessment, including its ease of application to large populations and resistance to misrepresentation. Consider the ethical implications and potential privacy risks associated with these methods. Gain insights from Michal Kosinski, Assistant Professor in Organizational Behavior at Stanford University Graduate School of Business, as he discusses how to balance the benefits of Big Data assessment with privacy concerns. Delve into cutting-edge computational methods and Big Data mining techniques used in research on human behavior in digital environments.