IU/IDH Digital Ethics

Table of Contents:​

​Week One: Introduction
Week Two: Data Collection, Aggregation and ‘Big’ Data
Week Three: The Laws Of Data Privacy/Security
Week Four: Consent
Week Five:  Best Practices And Industry Guidance
Week Six: Audit One
Week Seven: Prediction and Decision- Making
Week Eight: Discrimination and Fairness
Week Nine: Manipulation and Power
Week Ten: Accountability and Transparency
Week Eleven: The Attention Economy and Surveillance
Week Twelve: Final Audit


 

Week Two: Data Collection, Aggregation, and Big Data

• Roundtables:

  • Elizabeth Adams (Stanford Race and Tech Fellow) and IDH

  • NE Public Television  with Coded Bias and IDH (Prof Tom Freeman) 

• PSAs: Employment AI; Social Credit Scores;  HUD AI​

• Pedagogy in Partnership with ADL (High School, but it's our AI audit method)

  • Week One: What is an Algorithm? (video; lesson plan)

  • Week Two:  Axis of Facts

    • (lesson plan;)

    • ​AJL demo video​​; 

  • Week Three: Axis of Bias (lesson plan with videos)

  • Week Four:  Axis of Storytelling (lesson plan with videos)

  • Week Five: Robot Court (pedagogy trailer)

    • IDH Online Class Assets (that get fed into ADL Pedagogy)​

      • Infomercials: Employment, ​health, predictive policing

      • Social Media (lemme get the TikTok link)

• Coded Bias Pedagogy​​

Week Two: The Laws of Privacy and Data Security