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Privacy Talk with Kim Hamilton Duffy, Executive Director of Decentralized Identity Foundation: How…
- The challenge of balancing privacy and identification with AI is enormous, and creating trust in online interactions is becoming increasingly difficult.
- Identity verification techniques across the board are broken.
- The paper's premise is that although AI can pretend to be human in certain ways, there are other things they cannot do.
- They propose a method called personhood credentials that uses a verifiable credential type approach.
- The requirements in the paper are a good start, but people need to be precise about the problem that they're solving.
- One of the requirements is unlinkable pseudonymity, where a real identity cannot be determined from the interactions within a service provider.
- Kim Hamilton Duffy, Executive Director of Decentralized Identity Foundation, suggests that blockchain space might be helpful in this area and helps make use of AI tools.
- The Foundation is focused on understanding the problem parts and raising awareness through a hackathon that will explore what a verifiable credential might look like.
- Decentralized identity solutions are standing out as an opportunity to build better foundations, and Kim invites anyone interested to join their conversations.
- The paper had a great initial list of risks of personhood credentials, but they want to build that out even more, and that's an issue that needs a lot of focus on.
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