On March 21, 2018, Steve Omohundro spoke in the “Million AI Startups” meetup on “AI Arts and Culture: Music, Arts, and Robotics” about “AI, Deception, and Blockchains”. Piero Scaruffi and Richard Shinn also spoke:
AI Arts and Culture: Music, Arts, and Robotics
Wednesday, Mar 21, 2018, 6:00 PM
Bootup Ventures 68 Willow Road Menlo Park, CA
61 Members Went
We are happy to invite you to our first meetup of this year on Wednesday, March 21, 2018 to share the recent developments of Arts and Cultures in AI including Music, Visual Arts, Game, and Robotics. During the meetup, you will hear from the speakers who are heavily involved in the R&D for AI Arts and Cultural technologies and the related activities…
Recent AI systems can create fake images, sound files, and videos that are hard to distinguish from real ones. For example, Lyrebird’s software can mimic anyone saying anything from a one minute sample of their speech, Adobe’s “Photoshop of Voice” VoCo software has similar capabilities, and the “Face2Face” system can generates realistic real time video of anyone saying anything. Continuing advances in deep learning “GAN” systems will lead to ever more accurate deceptions in a variety of domains. But AI is also getting better at detecting fakes. The recent rash of “fake news” has led to a demand for deception detection. We are in an arms race between the deceivers and the fraud detectors. Who will win? The science of cryptographic pseudorandomness suggests that the deceivers will have the upper hand. It is computationally much cheaper to generate pseudorandom bits than it is to detect that they aren’t random. The issue has enormous social implications. A synthesized video of a world leader could start a war. Altered media could implicate people in crimes they didn’t commit. Governments have tampered with photographs since the beginning of photography. Stalin, for example, was famous for removing people from historical photos when they fell out of favor. The art world has had to deal with forgeries for centuries. Good forgers can create works that fool even the best art critics. The solution there is “provenance”. We not only need the work, we need its history. But provenances can also be faked if we aren’t careful! Can we create an unmodifiable digital provenance for media? We describe several approaches to using blockchains, the technology underlying cryptocurrencies, to do this. We discuss how the time and location of events can be cryptographically certified. And how future media hardware might provide guarantees of authenticity.
The Spring 2018 issue of the Buddhist magazine “tricycle” published the article “AI, Karma & Our Robot Future, Two artificial intelligence scientists discuss what’s to come, A conversation with Steve Omohundro and Nikki Mirghafori” based on a presentation given at CIIS:
AI, Karma & Our Robot Future
Two artificial intelligence scientists discuss what’s to come.
Nikki Mirghafori and Steve Omohundro: AI and Karma
Recorded November 2, 2017
In this episode, Artificial Intelligence scientist and buddhist teacher Nikki Mirghafori and computer scientist Steve Omohundro discuss how the concept of karma can guide us as we push forward towards creating non-human intelligence.
On August 11, 2017, Steve Omohundro did an podcast with Tom Guarriello and Julie Carpenter on Tom’s “RoboPsych” podcast titled “Dr. Steve Omohundro on AI. Robots, and Empathy”. Here’s the podcast together with background material:
On July 15, 2017, Steve Omohundro did an interview with Mark Mollineaux’s radio show “The Henry George Program” on “AI Risk, Human Values, and Decentralized Resource Sharing”. Here’s a description of the show:
Steve Omohundro on AI Risk, Human Values, and Decentralized Resource Sharing
ReleasedJul 18, 2017
Steve Omohundro shares plans for creating provably correct protections against AI superintelligence, and thoughts on how human values can be imbued into AI. Resource allocation, decentralized cooperation, and discussions on how Blockchain Proofs of Work/Stake can possibly be compatible with basic needs.
On May 25, 2017 Steve Omohundro spoke in Jerry Kaplan’s Stanford CS22a class “Social and Economic Impact of Artificial Intelligence” on “Social Impact and Ethics of AI”.
Here’s Steve’s bio:
Steve Omohundro founded Possibility Research and Self-Aware Systems to develop beneficial intelligent technologies. He has degrees in Physics and Mathematics from Stanford and a Ph.D. in Physics from Berkeley. He was a computer science professor at the University of Illinois and cofounded the Center for Complex Systems Research. He published the book “Geometric Perturbation Theory in Physics”, designed the programming languages StarLisp and Sather, wrote the 3D graphics system for Mathematica, invented many machine learning algorithms (including manifold learning, model merging, bumptrees, and family discovery), and built systems that learn to read lips, control robots, and induce grammars. He’s done internationally recognized work on AI safety and strategies for its beneficial development. He is on the advisory boards of several AI and Blockchain companies.
On May 5, 2017, Steve Omohundro gave the TiEcon 2017 Machine Learning Keynote in Santa Clara, California on “The Social Impact and Ethics of AI”. Here are the slides: 170505TIE – Social Impact and Ethics of AI.