Data Privacy and Pernicious Persuasion: What if it's not your bank account that's really at risk?

Share

Join us for our Tech Talk on Data Privacy and Pernicious Persuasion.

In this presentation I’ll give a high-level introduction about what our data says about us and discuss specific cautions against its commercial and societal exploitations.  



  Date and Time

  Location

  Hosts

  Registration



  • Date: 11 Jan 2022
  • Time: 06:00 PM to 07:00 PM
  • All times are (UTC-08:00) Pacific Time (US & Canada)
  • Add_To_Calendar_icon Add Event to Calendar

Microsoft Teams meeting

Join on your computer or mobile app

Click here to join the meeting

Or call in (audio only)

+1 509-408-1681,,410710120#   United States, Spokane

Phone Conference ID: 410 710 120#

  • David Green

    greenpost@ieee.org

  • Co-sponsored by IEEE Seattle Section
  • Starts 05 January 2022 01:00 PM
  • Ends 11 January 2022 05:55 PM
  • All times are (UTC-08:00) Pacific Time (US & Canada)
  • No Admission Charge


  Speakers

Christine Dee Christine Dee of IBM Industry Academy

Topic:

Data Privacy and Pernicious Persuasion: What if it's not your bank account that's really at risk?

Increasingly, our lives – our interactions, information, and intentions – are facilitated by a growingly complex digital landscape. Consider the multitude of devices that maintain an awareness of our communications with one another, our locations, our health, our opinions… And consider how those opinions are informed, via social media, news feeds, video games, streaming media, and online searches. In nearly every daily event, we generate data about ourselves and leave a unique data trail, a detailed map of our needs, wants, values, and interests. This map outlines the specific ways in which our intentions are influenced, ultimately determining our behavior. In this talk, I’ll give a high-level introduction about what our data says about us and discuss specific cautions against its commercial and societal exploitations. 

Biography:

Christine Dee is a technologist and research psychologist with IBM. Her more than 20 years of experience working with data insights in the telecom industry has given her unique perspective in the uses of advanced analytics capabilities in communications and media, and the emerging technology of digital influence. A conference speaker and author, one of her central passions is helping broad audiences understand the commercial and societal implications of data and AI. She is a member of IBM’s Industry Academy and an IBM Out Role Model. 

Email:





Agenda

Presentation start: 6PM PST

Q&A: ~6:45PM