Ethics and AI: Freedom and privacy vs, duty of care

Playtech and the University of Sydney discuss implications of AI and ethics for the gambling industry.

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This webinar explores the ethical tensions between individual rights (freedom and privacy) and industry responsibilities (duty of care) in the use of AI within gambling. The conversation is moderated by Sally Gainsbury and features expert insights from law, neuroscience, and gambling technology.

Key Insights:

• Algorithmic Bias:
  Real-world examples (e.g. healthcare, credit scoring, hiring) show how AI systems can unintentionally reinforce racial and gender biases due to flawed training data and opaque decision-making processes.
• AI in Gambling:
  AI is used for customer onboarding, fraud detection, personalization, bot detection, and risk identification. While traditionally focused on marketing, AI is increasingly applied in compliance and consumer protection.
• Regulatory Challenges:
  Governments struggle to keep pace with AI innovation. There’s a growing debate between external regulation and industry self-regulation. Public mistrust of AI is high, especially in sensitive areas like facial recognition and automated debt recovery.
• Ethical Design & Transparency:
  Deep learning systems are inherently opaque, making it difficult to trace errors or biases. Calls for transparency and explainability are growing, but technical and ethical hurdles remain.
• Balancing Innovation and Protection:
  The gambling industry must balance commercial growth with social responsibility. Using AI to personalize experiences is acceptable—but only if risk indicators trigger protective interventions.
• Customer Perception:
  Research shows players respond better to non-judgmental, supportive messages. Uptake of responsible gambling tools improves when communication is personalized and friction is reduced.
• Limitations of AI:
  AI only sees a subset of player behavior. Cross-platform gambling and contextual factors are often missed. Combining data across sectors (e.g. banking) could improve accuracy but raises privacy concerns.

The conversation highlights the urgent need for ethical frameworks, transparent AI systems, and smarter regulation. As AI becomes central to gambling operations, industry and regulators must collaborate to ensure technology serves both commercial and consumer protection goals.