Data Ethics

Data ethics addresses the responsible collection, use, and governance of data across an organization, particularly when it affects individuals' rights and interests. For compliance leaders, this means establishing policies that ensure data is handled fairly, transparently, and with appropriate consent, while minimizing harm to people whose information is processed. Strong data ethics practices reduce legal exposure, build stakeholder trust, and help companies align AI systems with societal expectations and regulatory requirements like privacy laws and emerging AI regulations.

1 item

Corporate PolicyUS2026-09-30

DraftKings AI Model Targets Chronic Losing Gamblers With Promotional Ads

DraftKings is training machine learning models on customer betting records to identify chronic losing gamblers, then serving them promotional advertising to drive re-engagement. The Electronic Frontier Foundation published an analysis naming DraftKings and framing the practice as AI-amplified consumer harm enabled entirely by first-party data. The case illustrates that existing data-minimization and consent frameworks do not prevent companies from using lawfully collected data in ways that systematically harm vulnerable customers.

DraftKings behavioral advertising consumer harm AI targeting data ethics vulnerable populations FTC enforcement model governance