No cryptographic backing. No verification trail. Zero accountability.
In sectors where mistakes cost lives or fortunes—think finance, healthcare, research—that's not just risky. It's reckless.
The solution? Cryptographic proof layers that actually validate what AI systems produce. Not some vague "trust the algorithm" promise, but verifiable, transparent validation you can audit.
Because when an AI makes a call that moves millions or diagnoses patients, "probably correct" shouldn't cut it.
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
9 Likes
Reward
9
4
Repost
Share
Comment
0/400
MetaNeighbor
· 17h ago
To be honest, AI now is like a black box; no one knows how it comes to its conclusions... Isn't that just gambling?
View OriginalReply0
HappyMinerUncle
· 17h ago
The medical finance sector indeed needs to be verified on the chain, and right now it's a mystery box...
View OriginalReply0
NftBankruptcyClub
· 17h ago
This is the key point... Blockchain verifying AI outputs is much more reliable than those empty promises.
View OriginalReply0
QuietlyStaking
· 17h ago
To be honest, this problem has always existed... AI diagnosing a disease can change the course of a life, and the result depends on a statement like "the model said"? That's crazy.
Ever wonder why we just blindly trust AI outputs?
No cryptographic backing. No verification trail. Zero accountability.
In sectors where mistakes cost lives or fortunes—think finance, healthcare, research—that's not just risky. It's reckless.
The solution? Cryptographic proof layers that actually validate what AI systems produce. Not some vague "trust the algorithm" promise, but verifiable, transparent validation you can audit.
Because when an AI makes a call that moves millions or diagnoses patients, "probably correct" shouldn't cut it.