everytl;dr

How DraftKings Uses AI to Target Vulnerable Gamblers

EFF Deeplinks

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  • DraftKings is leveraging machine learning models to identify users likely to place losing bets and systematically targeting them with promotions to increase platform engagement.
  • This practice exploits vulnerable gamblers, prioritizing corporate profit over the significant financial and emotional harm inflicted on users.

How AI Magnifies Ad-Tech Harms

  • AI allows companies to process massive datasets at high speeds, significantly increasing the precision and scale of behavioral targeting.
  • Because AI models often function as "black boxes," companies are incentivized to hoard ever-increasing amounts of data, hoping to improve model performance without fully understanding which inputs the AI uses.

Regulatory Challenges and Surveillance Implications

  • The use of "first-party data" by DraftKings demonstrates that policies targeting only third-party data sales are insufficient to curb predatory advertising.
  • The Electronic Frontier Foundation (EFF) argues for a total ban on behavioral advertising to remove the incentive for companies to collect pervasive user data.
  • Behavioral ad-tech data is frequently repurposed by surveillance industries, including insurance companies, financial institutions, and government agencies like ICE and CBP, for investigations and profiling.

This summary was generated by AI from the original article and may omit nuance or later updates. How everytldr works · CC BY 4.0

 
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