To make this session more interactive, we’re running a contest for the best community questions. Share your toughest or most interesting questions for our speakers — the ones that challenge assumptions and spark real debate. Winners will get $100 in prizes and a shout-out during the live session
A few prompts to get the ball rolling:
Where do you see the biggest privacy risks in AI + Web3 today?
How can builders balance transparency with user data protection?
What projects inspire you when it comes to trust in decentralized AI?
You can even leave your questions right here in this thread — I’ll include them in the contest. Just don’t forget to add your Twitter handle so we can mention you if your question is selected.
Let’s make sure the community voice leads this conversation
Question: Trust and privacy often pull in opposite directions. AI wants data, communities want privacy. How do you balance both without turning Web3 into another data farm disguised as decentralization?
Privacy, scalability, and AI are expensive to run. Who’s really paying for it, the users in higher gas, or the projects through venture funding? And if it’s users, what makes this different from Web2 subscription models we claim to be escaping?
when AI enters the discussion, control usually shifts back to devs and protocols. How do we make sure AI doesn’t just centralize power again under the guise of ‘support for the community ’?
Building Privacy and Trust in Web3 AI
Join the Space here
. Share your toughest or most interesting questions for our speakers — the ones that challenge assumptions and spark real debate. Winners will get $100 in prizes and a shout-out during the live session
A few prompts to get the ball rolling:
You can even leave your questions right here in this thread — I’ll include them in the contest. Just don’t forget to add your Twitter handle so we can mention you if your question is selected.
