About

As AI models consume vast amounts of personal data and social media algorithms increasingly shape our digital reality, how do we protect the individual? This panel moves beyond enterprise compliance to explore how Web3 concepts—specifically citizen tokenisation and decentralised identity—can serve as critical guardrails in an AI-driven world. We will unpack the tension between data-hungry algorithms and individual privacy, exploring how blockchain principles might empower people to own their digital footprints, prove their humanity in a sea of bots, and resist algorithmic manipulation.

Takeaways

• The AI Privacy Paradox: How to establish practical data guardrails in a world where AI models and social media algorithms inherently demand maximum data extraction to function efficiently.
• Citizen Tokenisation as a Shield: Exploring how tokenised identities and verifiable credentials can give users sovereignty over their data, allowing them to interact digitally without being perpetually tracked or profiled.
• Proving Humanity in the Deepfake Era: As AI agents and bots flood our networks, we will examine how Web3 identity solutions can distinguish real citizens from algorithmic synthetic entities without demanding more centralisation of personal data.
• Engineering Algorithmic Guardrails: What traditional tech and regulated enterprises must learn from Web3 decentralisation to build systems that protect users from algorithmic bias and social media manipulation, rather than just legally complying with GDPR.