THE ROLE OF TRANSPARENCY, USER CONTROL, AND THE BALANCE BETWEEN FUNDAMENTAL RIGHTS
summary
Panelists parse GDPR fairness as a guiding but undefined norm and show how concrete choices matter: examples include ad preferences and why I'm seeing this explanations, a publisher pay-or-consent (paywall vs tracking) “pure model”, and Meta decisions like deprecation of sensitive topics, blocking sensitive categories to advertisers, a public ad library, plus AI plus human review. Cited impacts: 38% revenue lift (Harvard), 70% loyalty (Salesforce), 91% relevance (Accenture), €208B economic activity and 3M jobs (Meta study).
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chapters (11)
- 0:00Fairness in personalization
- 3:34GDPR fairness principles
- 9:00Meta personalization impact
- 18:12Pure model for user choice
- 23:33Rights versus personalization
- 31:03Fairness with user control
- 45:22Fairness versus lawfulness
- 50:58Paid vs ad-supported fairness
- 58:30Q&A on transparency
- 1:04:12Consent and oversight debate
- 1:14:10Fairness complexity closing
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