AI for Mankind

Million AI Startups
Million AI Startups
Public group
Location image of event venue


AI for Human Flourishing
2018 is the best year in human history. The rates of hunger, poverty, violence, and illiteracy are all at their lowest levels ever. We have achieved this using both human intelligence and collective intelligence. But things are about to get even better using Artificial Intelligence. A recent UN report predicts that today's AI will create at least $70 trillion of value through 2030 and new AI technologies could double that. AI will impact every single challenge humanity currently faces. In addition to vastly improving productivity, it will provide new solutions to social dilemmas and will provide new coordination mechanisms to foster cooperation. It will be used to predict and mitigate extreme behavior in a wide range of complex systems including the climate, economy, disease, politics, social media, transportation, and energy flows. It will usher in a new era of creativity and invention that will lead to unprecedented human flourishing. (Steve Omohundro, Ph.D.)

Theme: AI for Mankind
6:00 pm - 6:30 pm Check In, Food & Networking
6:30 pm – 6:50 pm Title: AI for Human Flourishing
Speaker: Steve Omohundro, Ph.D., President, Self-Aware Systems
6:50 pm – 7:10 pm Title: Good Roles, Bad Actors, and AI
Speaker: David Ayman Shamma, Ph.D., Sr Research Scientist, FXPAL
7:10 pm - 7:25 pm Title: Creating a Smart City in Stockton, CA
Speaker: Grace Livingston, CEO, and The AI School
7:25 pm – 7:40 pm Title: Multi-Agent Simulation in Life and Business
Speaker: Richard Shinn, Ph.D., AIBrain,
7:40 pm – 8:10 pm Discussion
8:10 pm - 8:30 pm Announcement & Networking

Steve Omohundro is a scientist developing the next generation of artificial intelligence. He has degrees in physics and mathematics from Stanford and a Ph.D. in physics from Berkeley. He designed the first data parallel language StarLisp, was an award winning professor, co-founded the Center for Complex Systems Research, wrote the 3D graphics for Mathematica, developed fast neural data structures like balltrees, designed the fastest and safest object-oriented language Sather, invented manifold learning, co-created the first neural focus of attention systems, co-designed the best lip reading system, invented model merging for fast one-shot learning, co-designed the best stochastic grammar learning system, co-created the first Bayesian image search engine PicHunter, invented self-improving AI, discovered the Basic AI Drives, proposed many of the basic AI safety mechanisms including AI smart contracts.

Good Roles, Bad Actors, and AI: Abstract
Speaker: David Ayman Shamma, Ph.D., Sr Research Scientist, FXPAL
Modern Artificial Intelligence (AI) now fuels our society, however AI itself is not a monolithic construct. AI comprises multiple approaches and techniques while it recommends articles to us, glams up our selfies, decides what we should or shouldn’t see, and picks who we should or shouldn’t talk to. Both successes and failures of AI techniques the past few years reveal a disconnect in how we research, engineer, and use social computing systems. In this short talk, I will highlight contemporary struggles in modern AI and how HCI research will be the key to addressing these challenges. (Bio:​)

Grace Livingston, CEO of and founder and CEO of The AI School. Grace graduated from Stanford University, University of Illinois and Georgia Institute of Technology, with masters in computer science focused on artificial intelligence and robotics, with a special focus on self-driving cars. Grace is creating an AI online education system on self-driving cars and smart cities and deployment of a smart city in Stockton, CA.