One of our main goals is to have individual member presentations on what problems/challenges they see in AI & Metaverse related to trust.
Starting in the new year (2023), we plan to start drafting white papers or other types of deliverables of the task force.
Agenda Items and Notes (including all relevant links)
Time
Agenda Item
Lead
Notes
2 min
Start recording
Welcome & antitrust notice
Introduction of new members
Agenda review
Chairs
Antitrust Policy Notice:Attendees are reminded to adhere to the meeting agenda and not participate in activities prohibited under antitrust and competition laws.
ToIP Policy: Only members of ToIP who have signed the necessary agreements are permitted to participate in this activity beyond an observer role.
Vivek Nair develops cutting-edge cryptographic techniques to defend digital infrastructure against sophisticated cyber threats. Nair believes that for every problem that exists in cybersecurity, there is a cryptographic solution waiting to be found. Vivek will present these two recent studies from Berkeley RDI:
First study: Historic study of motion based identification in the 70's
Basic same idea fast forwarded - distinctions: large number of more diverse Beat Saber game participants 50K+ to make results statistically more significant and representative - game play recordings, and high identification rate 95+%.
The motion results are highly effective, comparable to or stronger than Iris, finger prints etc, while facial recognition is more off the chart
Context (scene of the play) info is useful but not a major contributor on its own in this study.
You can't hide motion data from the Apps - the motion events are important to the game play, so they have to be shared to the apps.
Second study:
Take motion data as "language" - as in "body language".
Use transformer based learning to answer what additional personal information it can infer with statistically significance, e.g. weight, height, but also income, country, disability... 40+ attributes of personal info.
The "privacy layer" of a VR device also typically send all the significant motion data to all devices in the VR because latency requirements demand that rendering happens in the devices locally.
It is as if "you walk on a public square and broadcasting all the personal information".
We discussed Apple's VisionPro announcement - and its implications to privacy based on the results of these studies. Vivek: We have a very narrow window in devising a solution to this problem before VR devices, as currently designed, become the next iPhone of the world which we can't live without.
THANKS to Vivek Nair for the wonderful presentation - this is hugely important for all of us!
Encourage everyone to check out additional information:
Link to UCB:
10 mins
White paper status updates & call for additional blogs & white papers. (Skipping)
